Turn Insights Into Lasting Impact
Donorly equips small nonprofit fundraising managers with a real-time dashboard that pinpoints which donors need attention and what drives giving. Automated, personalized reminders ensure no supporter slips through the cracks, freeing teams from endless spreadsheets so they can focus on building deeper relationships and raising more funds.
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Detailed profiles of the target users who would benefit most from this product.
- Age 30–35, nonprofit founder, BA in Nonprofit Mgmt - Single, urban setting, 1–3 employees - Annual budget under $200K - Less than 3 full-time staff
Built his nonprofit from the ground up for two years, juggling program delivery and fundraising. Past success with volunteer mobilization contrasts with his current struggle to track donor touchpoints across spreadsheets.
1. Automated prompts for overdue donor follow-ups 2. One-page dashboard highlighting urgent donor actions 3. Simple mobile notifications for key giving triggers
1. Forgotten donor outreach amid overflowing to-do lists 2. Spreadsheets scattered, outdated, difficult to consolidate 3. Anxiety over missed high-value follow-ups
- Lives for mission-driven impact daily - Terrified of dropping donor engagement tasks - Values simplicity over complex features - Driven by tangible relationship growth
1. Email inbox (daily overview) 2. Donorly mobile app (real-time alerts) 3. Slack (team discussions) 4. LinkedIn (professional updates) 5. Facebook groups (nonprofit tips)
- Age 45–55, nonprofit development officer - Bachelor’s in communications, 10+ years experience - Mid-sized town, two-person fundraising team - Moderate tech budget under $1K annually
Managed donor lists manually for a decade and avoided CRMs until urgent reporting needs forced a trial. Now she craves clear guidance to prevent workflow disruptions.
1. Clear onboarding wizard reducing decision anxiety 2. Preconfigured templates for donor communication 3. Guided tours before key feature use
1. Intimidated by multi-step setup processes 2. Spreadsheet-export errors causing data loss 3. Overwhelmed by feature-dense interfaces
- Fears technological complexity disrupting workflows - Seeks step-by-step guidance at every turn - Values stability over shiny new features - Motivated by donor retention reliability
1. Email newsletters (step-by-step guides) 2. YouTube tutorials (screen demos) 3. Donorly webinar (live Q&A) 4. Phone support (direct reassurance) 5. Facebook community (peer tips)
- Age 35–45, freelance consultant - MBA in nonprofit leadership - Manages 5–10 small nonprofit clients - Works remotely from co-working spaces
Spent a decade in-house before launching her consultancy; now advises multiple small teams and faces siloed data overload. She seeks one-stop visibility.
1. Multi-organization dashboard toggling in one click 2. Brandable, exportable reports for presentations 3. Bulk donor-import across multiple accounts
1. Switching login credentials across client platforms 2. Manually rebranding reports wastes hours weekly 3. Inconsistent data schemas across client databases
- Thrives on versatile, multi-dashboard tools - Demands professional, client-ready reporting quickly - Juggles deadlines across diverse organizations - Seeks customization for each client pitch
1. Donorly consultant portal (dashboard) 2. Slack (client communication) 3. Zoom (strategy sessions) 4. LinkedIn messaging (client outreach) 5. Email (report deliveries)
- Age 40–50, development director - Master’s in nonprofit management - Oversees $1M+ annual donations - Manages team of five fundraisers
Rose from volunteer coordinator to director by securing three major gifts; now oversees strategic donor stewardship. She relies on nuanced insights to tailor high-dollar solicitations.
1. Advanced filters for high-capacity donor segments 2. Customizable reminder schedules for major gifts 3. Relationship scoring integrating multi-touch history
1. Overlooked personalization cues for key donors 2. Rigid donor tiers misclassify prospect potential 3. Manual gift projection calculations error-prone
- Obsessive about donor affinity metrics - Believes personalized touches drive big gifts - Demands data-backed segmentation - Strives for prestige via marquee supporters
1. CRM Watercooler (internal chat) 2. Email (detailed donor analytics) 3. Donorly dashboard (major gifts module) 4. LinkedIn Sales Navigator (prospect research) 5. Zoom (donor strategy meetings)
- Age 28–35, program manager - B.A. in sociology - Manages 2K recurring donors - Based in suburban nonprofit HQ
Transitioned from event planning to subscription giving after spotting churn as a revenue leak. Now prioritizes timely engagement nudges and churn analytics.
1. Churn-risk alerts for at-risk monthly donors 2. Automated renewal email sequences for subscribers 3. Analytics on subscription lifetime value
1. Sudden subscription cancellations without warning 2. Manual follow-ups overwhelm small teams 3. Flat frequency dashboards obscure small declines
- Passionate about community building through subscriptions - Hates losing monthly donors unexpectedly - Values early warning on engagement drop-offs - Motivated by long-term relationship stability
1. SMS alerts (urgent donor flags) 2. Email drip campaigns (renewal sequences) 3. Donorly dashboard (churn analytics) 4. Facebook Messenger (community outreach) 5. Instagram stories (donor engagement)
Key capabilities that make this product valuable to its target users.
Automatically calibrates alert triggers based on each donor’s historical engagement patterns. By learning individual baselines, Dynamic Thresholds minimize noise and deliver only meaningful dips and spikes, helping users focus on genuinely significant changes in donor behavior.
Implement a data ingestion pipeline that collects and consolidates each donor’s historical engagement records from multiple sources (e.g., donation history, email opens, event attendance). This requirement ensures the system has a comprehensive dataset to accurately model individual baselines, enabling reliable threshold calibration. Integration with existing Donorly data stores and third-party APIs must be seamless, supporting incremental updates and data normalization. Expected outcome: a unified engagement dataset for every donor, updated daily, ready for baseline analysis.
Develop an algorithmic engine that analyzes each donor’s historical engagement dataset to compute personalized baseline metrics (e.g., average donation frequency, typical gift size, response rate). The engine must apply statistical methods (rolling averages, standard deviations) and machine-learning techniques to adapt over time. This capability enables the Dynamic Thresholds feature to tailor alerts for meaningful deviations rather than generic rules. Expected outcome: accurate, evolving donor baselines available for real-time comparison.
Create a real-time detection service that compares incoming donor activity against their personalized baselines to identify significant spikes or dips. The service must support configurable sensitivity levels, use statistical significance testing, and flag only changes that exceed computed thresholds. Integration with Donorly’s alert system is required to surface these anomalies in the dashboard. Expected outcome: high-precision detection of noteworthy engagement changes with minimal false positives.
Design and implement a user interface within the Donorly dashboard that allows users to view, override, or fine-tune automatically generated thresholds for individual donors or donor segments. The interface should display baseline metrics, suggested threshold bands, and historical anomaly logs. Changes made by users must feed back into the baseline calculation engine to inform future adjustments. Expected outcome: enhanced user control over alert sensitivity, leading to more relevant notifications.
Implement logic within the notification system to filter, rank, and batch alerts based on the severity of detected anomalies and user-defined preferences. The system must prioritize high-impact alerts (e.g., major donation drops) while deferring or suppressing minor fluctuations. Notifications should be delivered through multiple channels (email, in-app) with clear context on why each alert was triggered. Expected outcome: reduced notification noise and a focus on alerts that drive action.
Applies natural language processing to donor communications and social interactions to gauge sentiment shifts. Sentiment Signal alerts fundraisers when donor attitudes turn notably positive or negative, enabling tailored outreach that resonates with supporters’ current moods and motivations.
Implement a natural language processing engine that ingests donor communications and social media interactions in real time, classifies sentiment (positive, negative, neutral), and outputs structured sentiment scores. This engine should support multiple languages, handle various data sources (emails, tweets, chat logs), and integrate seamlessly with Donorly’s backend to enable downstream analysis and alerts. The system must be scalable, performant, and maintainable to ensure timely processing of incoming data streams.
Design and integrate a dashboard module that displays sentiment metrics alongside donor profiles and activity logs. The dashboard should include trend graphs, sentiment heatmaps, and filters to segment donors by sentiment categories. It must allow fundraisers to drill down into specific communications, view historical sentiment changes, and export reports for further analysis. The interface should be intuitive and align with Donorly’s existing UI/UX standards.
Develop an alerting mechanism that triggers notifications when a donor’s sentiment shifts beyond configurable thresholds. Alerts should be deliverable via email, mobile push, and in-app notifications. The system must allow users to define rules (e.g., sentiment drop by 20% in a week) and customize alert preferences. It should log all triggered alerts and provide a history view for tracking responses and outcomes.
Set up a robust data storage solution to persist raw communication data, processed sentiment scores, and metadata. Implement versioned storage for training datasets and build a pipeline for periodic model retraining using updated labeled data. Ensure data pipelines are secure, support rollback, and provide audit trails. The infrastructure must be compliant with data privacy regulations and support scaling as data volume grows.
Create a user interface component that allows fundraisers to flag and correct misclassified sentiments directly from communications views. Capture this feedback and feed it into the model retraining pipeline to improve accuracy over time. Provide reporting on feedback submissions and model performance metrics. The system should validate feedback for quality control and support easy management of feedback data.
Develop embeddable visualization widgets (e.g., line charts, bar graphs, heatmaps) that display sentiment data for use in reports and presentations. Widgets should be customizable in terms of color schemes, date ranges, and aggregation levels. They must support exporting visuals as images or PDFs and integrate with Donorly’s reporting module. Ensure widgets are responsive and accessible.
Assigns an impact score to each engagement alert by considering factors like gift size, frequency, and relationship health. Priority Pulse ranks notifications so users can quickly identify and act on the most high-value donor fluctuations, optimizing time and fundraising outcomes.
The system automatically computes a composite impact score for each donor engagement alert by analyzing gift size, giving frequency, and relationship health metrics. This engine normalizes and weights each factor to produce a single, actionable score that reflects both the monetary value and relational strength of donor interactions. It integrates seamlessly with existing donor data sources and triggers score recalculations whenever relevant data changes, ensuring that fundraising managers always have up-to-date priorities.
An administrative interface allows authorized users to customize the weightings applied to gift size, giving frequency, and relationship health factors in the impact score formula. Users can adjust sliders or input percentage values to reflect organizational strategy and dynamically see how changes affect sample scores. Changes persist across sessions and trigger batch score recalculations.
A dedicated dashboard view lists all engagement alerts sorted by descending impact score, with the highest priority alerts prominently highlighted. The interface includes visual indicators (color codes, icons) for top-tier alerts and supports pagination or infinite scrolling for large alert volumes. Users can click on any alert to view donor details and suggested next steps.
The system pushes impact score updates to the dashboard in real time as new donor gifts, interactions, or data changes occur. No manual refresh is required; users receive immediate notification of score changes through live UI updates and optional subscription alerts (e.g., email or in-app). This ensures that the priority list always reflects the latest information.
Each impact score includes an interactive tooltip or modal that breaks down the individual factor contributions and weightings. Users can hover over or click the score to see a detailed explanation—e.g., “Gift Size: 40%, Frequency: 30%, Relationship Health: 30%”—along with raw values. This transparency builds user trust and aids decision-making.
Allows customization of alert delivery by team member, donor segment, or campaign. Team Alert Router ensures that the most relevant staff receive notifications for specific donors or projects, streamlining collaboration and accountability in donor stewardship.
Provide a visual interface for administrators to define and manage routing rules that determine which team members receive alerts based on donor attributes, campaign tags, or engagement triggers. The builder should support logical operators (AND, OR), rule prioritization, and real-time validation to ensure rules are conflict-free and execute as intended within the Donorly ecosystem.
Enable the creation and reuse of donor segments based on criteria such as gift history, demographics, engagement level, and campaign association. Segments should be dynamically updated and available for routing rules, allowing alerts to be tailored to groups of donors who share characteristics important for stewardship and follow-up.
Allow administrators to assign one or multiple team members or roles to specific routing rules or donor segments. The system should support role-based groups, individual overrides, and temporary assignments, facilitating accountability and ensuring notification coverage even during staff changes or absences.
Support multiple alert delivery channels including email, SMS, and in-app notifications. Team members should be able to configure their preferred channels and quiet hours, and administrators should be able to set channel priorities and overrides to guarantee critical alerts are delivered effectively.
Implement a fallback mechanism that reroutes alerts to secondary recipients or escalation groups when primary assignees don’t acknowledge within a defined timeframe. Include configurable escalation paths and notification intervals to ensure no alert is missed and timely donor follow-up is maintained.
Track and display routing activity in a dedicated dashboard, including timestamps of rule evaluations, alert deliveries, acknowledgments, and escalations. Provide filterable logs and summary reports to help administrators monitor rule performance, identify bottlenecks, and optimize routing configurations over time.
Leverages machine learning to forecast upcoming donor engagement dips and spikes before they occur. Pulse Predictor empowers fundraisers to plan proactive outreach strategies, turning early warnings into timely engagement opportunities that prevent supporter fatigue and boost giving.
Automatically aggregate and preprocess donor engagement data from multiple sources—including email interactions, donation history, event attendance, and CRM records—into a unified, clean dataset. Implement data validation, error handling, normalization, and scheduled updates to ensure the predictive model receives accurate and up-to-date inputs. This process reduces manual data wrangling, increases forecast reliability, and provides fundraisers with confidence in the predictions.
Develop an automated pipeline to train, validate, and evaluate machine learning models on historical engagement data. Include hyperparameter tuning, cross-validation, and generation of performance metrics (e.g., accuracy, precision, recall). Schedule regular retraining to incorporate new data and maintain forecast accuracy. Provide logs and reports for transparency and reproducibility.
Expose a scalable, low-latency RESTful API that serves donor engagement dip and spike predictions for individual donors or defined segments. Ensure secure access through authentication and authorization, implement request throttling and logging, and support high-concurrency usage. Enable seamless integration with front-end dashboards and external outreach tools.
Integrate interactive visualizations within the Donorly dashboard to display upcoming donor engagement dips and spikes. Provide filter options by segment, time range, and confidence intervals. Use intuitive color coding and visual cues to highlight high-risk donors and promising engagement opportunities. Ensure responsiveness across devices and clear contextual tooltips for user guidance.
Implement an automated alert system that triggers notifications when predicted engagement dips or spikes exceed user-configurable thresholds. Support delivery via email, in-app alerts, and Slack integration. Allow users to set threshold levels, notification channels, and frequency preferences. Ensure reliable delivery and provide an audit log of sent alerts.
Build monitoring tools to track model performance metrics—such as accuracy, precision, recall, and latency—over time and detect data drift in input features. Provide dashboards that visualize metric trends, feature importance shifts, and data distribution changes. Alert data scientists when performance degrades below defined thresholds to prompt model review and retraining.
Automate recurring segment exports by scheduling snapshots at regular intervals. Keep your donor lists fresh without manual effort, ensuring your team always works with the latest segmented data for timely outreach.
Provide a user-friendly interface within Donorly’s dashboard that enables fundraising managers to configure, modify, and view recurring segment export schedules. Users can select donor segments, set export frequency, define output formats, and save presets for future use. This interface integrates seamlessly with existing segmentation tools and ensures clarity by displaying next run dates and status indicators.
Implement a robust backend service that processes scheduled segment snapshots. The engine retrieves segment definitions, compiles donor data into the chosen format (CSV, Excel, etc.), optimizes performance for large datasets, and stores output in a secure location. It ensures reliability and scalability to handle growing data volumes.
Build notification workflows that alert users when scheduled snapshots complete successfully or encounter errors. Notifications can be sent via in-app alerts, email, or Slack. Each notification includes a link to download the snapshot or view error details, ensuring stakeholders stay informed without constantly checking the dashboard.
Create a history log where users can view past snapshots, including timestamps, file sizes, and status. Allow users to download previous exports, retry failed snapshots, and delete outdated entries. This feature helps teams track data changes over time and manage storage usage.
Extend Donorly’s role-based access control to scheduled snapshots. Define granular permissions for creating, editing, deleting, and downloading exports. Ensure that only authorized roles (e.g., administrators or managers) can manage schedules, while viewers may only download final files.
Leverage AI-driven analysis to attach key insights to each snapshot, like donor growth trends and segment performance highlights. Quickly understand the story behind your segments and make data-driven decisions.
Implement AI-driven analysis on every snapshot to identify and surface donor growth trends over time. The system should analyze donor activity data to detect upward or downward trajectories in giving, visualize trend lines on the dashboard, and provide narrative summaries explaining the significance of observed changes. This will help fundraising managers quickly grasp evolving donor behavior without manual data crunching.
Provide key performance highlights for each donor segment in a snapshot, including top-performing segments by donation amount, segments with the largest engagement increase, and segments showing a risk of disengagement. The feature should present these highlights as concise bullet points alongside visual charts, enabling users to prioritize segment-based outreach effectively.
Enable users to compare current snapshot insights with historical snapshots, allowing side-by-side analysis of trends and performance metrics. The comparison view should highlight significant changes and annotate differences with AI-generated commentary to facilitate understanding of how strategies impact donor behavior over time.
Allow users to set custom triggers for insights based on thresholds or anomalies, such as spikes in donation amounts or sudden drops in engagement. When a trigger condition is met, the system should automatically generate and deliver a personalized insight notification via email or in-app message, ensuring timely awareness of critical changes.
Implement functionality to export snapshot insights, including trend analyses and segment highlights, into shareable formats such as PDF reports or slide decks. Users should be able to customize which insights to include and add commentary before exporting, facilitating efficient sharing with stakeholders or board members.
Generate secure, shareable links for any snapshot, allowing colleagues or external partners to view or download segments without needing full platform access. Improve team collaboration and streamline stakeholder updates.
Implement functionality to generate cryptographically secure, unique URLs for each snapshot, ensuring that links cannot be guessed or forged. The system should use industry-standard encryption and randomization techniques to protect data integrity and prevent unauthorized access.
Provide settings to define and manage permissions on shared links, allowing the link creator to restrict access levels (view-only or download access) and designate specific user roles or external partners. This ensures that recipients can only perform actions that the creator authorizes.
Enable automatic expiration and manual revocation of shared links. Users should be able to set a custom expiration date/time when creating a link and revoke it at any point, invalidating access immediately to uphold data security and compliance.
Allow recipients to preview snapshots in their browser without a full platform login and provide an option to download data in multiple formats (CSV, PDF). The feature should maintain formatting consistency and include metadata like date and filters applied.
Track metrics for each shared link, including number of views, downloads, and last access time. Provide link creators with a dashboard to monitor engagement and ensure stakeholders are reviewing the data shared.
Create and save custom snapshot templates with preferred filters, naming conventions, and export settings. Reuse your most effective segmentation strategies in one click to save time and maintain consistency across campaigns.
Provide an intuitive interface that guides users through selecting filters, export settings, and naming conventions to build custom snapshot templates. The wizard should allow users to choose donor segments, date ranges, fields to include, and output formats, then preview a mock snapshot before saving. By streamlining template creation into clear steps, users can efficiently craft consistent and accurate segmentation strategies without navigating multiple menus or settings pages.
Enable users to save completed snapshot templates, including filter criteria, export settings, and template names, to a persistent library. Templates should be stored in a centralized section of the dashboard and retained across sessions, ensuring that users can reliably reuse and manage their most effective segmentation strategies without reconfiguration.
Allow users to apply any saved template to the current donor data with a single click. Upon selection, the system should immediately filter the dashboard or generate the snapshot using the template’s predefined criteria and export settings, reducing manual effort and ensuring consistency across campaigns.
Offer a preview function that displays a summary of the template’s filters and sample output without executing a full snapshot. Users can review selected segments, date ranges, and columns in a lightweight modal or sidebar, ensuring accuracy before saving or applying templates to live data.
Provide users with tools to rename, duplicate, delete, and sort saved templates. The management interface should support bulk actions, search, and filtering by name or creation date, enabling users to keep their template library organized and easily locate the right segmentation strategy.
Compare two or more snapshots side by side to track how segments evolve over time or across different campaigns. Identify shifts in donor behavior and optimize targeting strategies based on comparative insights.
Store and manage historical snapshots of campaign segment data at specific timestamps. Each snapshot captures relevant metrics, segment definitions, and donor lists, and is organized chronologically with metadata tags for easy retrieval and reference.
Provide an interface that displays two or more snapshots in a side-by-side layout, allowing users to align segment metrics, charts, and donor lists for direct comparison. The viewer supports synchronized scrolling and alignment controls to facilitate easy analysis.
Automatically detect and highlight significant changes in segment metrics between selected snapshots using configurable thresholds. Changes are color-coded and annotated with tooltips detailing the delta and percentage variance to draw immediate attention to notable shifts.
Enable users to apply dynamic filters to comparison views, including date ranges, segment types, donor tiers, giving frequency, and geographic regions. Filters update snapshots and highlighted changes in real time, allowing focused analysis on specific cohorts.
Allow users to export comparison results to PDF and CSV formats, including side-by-side charts, highlighted changes, applied filters, and summary insights. Users can customize report templates with organization branding and save export settings for future use.
Uses AI to generate attention-grabbing subject lines personalized for each donor based on their history and interests, boosting open rates and ensuring your message stands out in crowded inboxes.
Develop an AI engine that analyzes each donor’s profile, giving history, and interests to generate multiple personalized email subject line options. The engine should use natural language processing to craft attention-grabbing, contextually relevant lines that increase open rates. It must integrate seamlessly with the existing email campaign workflow, allowing users to review and select or edit suggestions before sending.
Implement secure data pipelines that fetch and update donor information—such as past donations, engagement history, and stated interests—from the Donorly database. Ensure real-time synchronization so that the AI engine always uses the most current data. Include privacy and consent checks to comply with data protection regulations.
Create a library of customizable subject line templates with placeholders for donor-specific variables (e.g., name, donation amount, project interest). Templates should follow best practices for tone and length and allow users to add, edit, or remove designs. The library must support version control and template tagging for easy organization.
Build an A/B testing module that sends different subject line variants to donor segments and automatically tracks open and click-through rates. Provide reporting on performance differences and statistical significance, and recommend the best-performing variant. Integrate results into the AI engine to refine future suggestions.
Design a dashboard that visualizes key metrics for subject line performance, including open rates, click-through rates, and response patterns by donor segment. Enable filtering by campaign, time period, and donor attributes. Include alerting for underperforming campaigns and insights for optimization.
Analyzes donor data and previous interactions to suggest tailored talking points and meaningful anecdotes for your email body, making each message more relevant and resonant for stronger connections.
The system must collect, normalize, and store donor data from multiple sources including CRM, donation platforms, and interaction logs, ensuring a unified and up-to-date dataset for accurate analysis and personalized content generation.
Implement analytics to process and interpret past donor interactions—such as email opens, clicks, event attendance, and donation patterns—to identify key engagement drivers and inform the generation of relevant talking points.
Develop a natural language generation engine that leverages aggregated donor data and interaction insights to produce concise, personalized talking points and anecdotes for email bodies, highlighting donor interests and past contributions.
Create and maintain a curated library of meaningful anecdotes, categorized by cause area, donor interests, and impact stories, enabling the generator to select relevant narratives that complement the personalized talking points.
Build seamless integration capabilities with major CRM platforms (e.g., Salesforce, HubSpot) to enable two-way synchronization of generated talking points, email templates, and engagement feedback, ensuring consistent and up-to-date records across systems.
Automatically adjusts the writing style and tone of your follow-up emails to match each donor’s communication preferences, from formal to friendly, fostering rapport and improving response likelihood.
Develop an engine that analyzes each donor’s historical communications—emails, meeting notes, and feedback—to identify their preferred writing style and tone. This component will categorize tone on a spectrum from formal to friendly, track changes over time, and store a dynamic tone profile for every donor. By leveraging natural language processing and machine learning, the system ensures accurate, data-driven tone recommendations that adapt as donor preferences evolve.
Implement a module within the email composer that retrieves a donor’s tone profile and suggests an optimal tone setting—such as formal, conversational, or empathetic. The module should display a clear recommendation indicator with an explanation of the choice and confidence level. It must integrate seamlessly with the existing dashboard UI and update in real time as donor profiles change.
Provide an interface allowing users to manually select or override the suggested tone. Offer a dropdown or toggle with predefined tone options (e.g., Formal, Friendly, Empathetic) along with brief descriptions of each. Ensure that any manual selection is logged and can feed back into the learning model as additional data points.
Create a draft generation feature that uses the selected tone and donor profile data—such as name, giving history, and recent interactions—to produce a fully formed email template. The system should merge dynamic fields, apply tone-specific phrasing, and allow in-composer edits before sending. Generated drafts must save automatically and support version history.
Implement a feedback mechanism where users can rate or edit generated emails, and track donor responses (opens, replies, click-throughs). Feed this data back into the machine learning models to continuously improve tone predictions. Provide analytics dashboards showing model performance and areas for improvement.
Integrate ToneCraft with the Donorly CRM to automatically import donor details, communication history, and campaign metadata. Store updated tone profiles, manual overrides, and feedback within the CRM under each donor record. Ensure bi-directional sync to keep data consistent across both systems.
Leverages machine learning to identify the optimal send times for individual donors based on past engagement patterns, maximizing the chance that your emails are read and acted upon.
Implement a robust pipeline to collect and normalize donor engagement data—including email opens, clicks, and past send times—from the CRM and email service provider. The pipeline should handle real-time and batch data feeds, ensure data quality through validation rules, and store the processed data in a centralized repository for downstream ML tasks.
Develop and train a machine learning model that analyzes historical engagement patterns to predict the best time to send emails for each donor. Include hyperparameter tuning, cross-validation, and performance benchmarks to ensure the model achieves a high level of accuracy and generalizes well to new data.
Create a service that uses the trained ML model to generate personalized send time recommendations for each donor. The service should expose an API endpoint for retrieving predictions in real time, handle high request volumes, and fall back to a default send time if predictions are unavailable.
Integrate SendSense predictions into the Donorly dashboard, displaying recommended send times alongside donor profiles. Include visualization components for confidence scores, historical engagement trends, and filter options to sort by recommendation priority or time window.
Implement A/B testing capabilities to compare SendSense-driven campaigns against standard send schedules. Build monitoring dashboards to track email open rates, click-through rates, and donation conversions for each variant, and alert stakeholders when significant performance deviations occur.
Enables one-click creation of multi-step follow-up sequences, sequencing personalized messages and reminders at strategic intervals to nurture relationships without manual scheduling.
Allows users to create an entire follow-up sequence in a single action by selecting a template and specifying key parameters. This requirement ensures ease of use and efficiency by reducing manual steps, enabling fundraising managers to quickly deploy personalized outreach sequences without navigating multiple menus. It integrates with existing donor data to pre-populate sequence elements and maintain consistency across communications.
Implements a dynamic personalization system that merges donor-specific data (e.g., name, giving history, preferred communication channel) into message templates. This engine supports conditional logic to tailor content based on donor segments, improving engagement rates and reinforcing donor relationships. It integrates with the CRM to fetch real-time donor attributes and updates templates automatically when data changes.
Provides an interface for users to configure timing intervals for each step in the follow-up sequence, such as delays between emails or reminders. Users can define fixed delays, business-day calculations, and custom calendars to optimize outreach cadence. The configuration syncs with the sequence builder and updates the timeline visualization in real time.
Enables sequences to include messages across multiple channels (email, SMS, phone call reminders) with channel-specific templates and delivery settings. The requirement covers integration with external messaging providers, fallback rules if primary channels fail, and unified logging of all sent messages for compliance and auditing.
Captures and displays key performance metrics for each follow-up sequence, including open rates, click-through rates, reply rates, and conversion events. Users can view analytics dashboards, compare sequence performance over time, and export reports. The analytics module integrates with the real-time dashboard to highlight high-performing sequences and recommend optimizations.
Provides real-time analytics on email performance—opens, clicks, replies—and AI-driven recommendations for refining content and timing, empowering you to continuously improve outreach effectiveness.
The system provides a dynamic dashboard that displays live metrics on email opens, clicks, replies, and other engagement indicators. It integrates seamlessly with existing campaign data, updating in real time to reflect the latest performance. Users can filter by date range, campaign, or recipient segment, enabling immediate insight into outreach effectiveness and facilitating data-driven adjustments.
An AI-powered module analyzes past email performance and donor interaction patterns to suggest improvements in subject lines, body content, and calls-to-action. Recommendations include sentiment adjustments, optimal word counts, and personalization tips. The engine learns over time, continuously refining its suggestions based on actual donor responses to enhance relevance and engagement.
The platform automatically detects significant deviations in email performance metrics (e.g., sudden drops in open rates or spikes in bounces) and sends real-time alerts via in-app notifications or email. Alerts include context, such as comparison to historical averages and possible causes, enabling users to investigate and address issues promptly.
Users can access a trend analysis view that visualizes performance metrics over customizable time periods. The feature supports comparing multiple campaigns side by side, highlighting improvements or declines in opens, clicks, and replies. Interactive charts and exportable reports help teams identify long-term patterns and measure the impact of strategic changes.
The system identifies opportunities for A/B testing based on past campaign data and AI insights. It recommends specific test variations for email components such as subject lines or send times, predicts potential performance gains, and provides a built-in workflow to set up, run, and analyze tests. Results inform future recommendations, creating a continuous improvement loop.
Automatically award distinctive, tiered badges when donors hit specific giving milestones—first gift, annual cumulative totals, or special campaign goals. These visual tokens of recognition motivate supporters to give more and share their progress, boosting engagement and long-term retention.
Allow administrators to define multiple badge tiers (e.g., Bronze, Silver, Gold) based on specific giving milestones, set thresholds for first gift, annual totals, or campaign goals, configure badge visuals and metadata, and reorder tiers as needed. This functionality ensures the system can flexibly adapt to diverse fundraising targets and campaigns, providing clear and motivating recognition milestones for donors.
Implement backend processes that monitor donor transactions in real time, evaluate when giving milestones are met, automatically assign the appropriate badge tier to donor profiles, handle retroactive achievements, and log assignment history for auditing. This ensures badges are awarded accurately and efficiently without manual intervention.
Develop user interface components within the donor dashboard to prominently display current badges, show progress toward the next tier, and allow donors to view badge achievement history. Ensure the design is responsive across web and mobile platforms to enhance engagement and transparency.
Enable donors to share their badge achievements on social media platforms by integrating share buttons, providing customizable pre-filled messages, and tracking share metrics. Ensure compliance with privacy policies and maximize viral exposure to encourage peer support.
Build a notification service to send automated, personalized emails or in-app messages when donors earn or upgrade a badge. Include badge visuals, milestone details, and call-to-action prompts. Support scheduling, template management, and delivery tracking for optimal engagement.
Create an administrative interface within the Donorly dashboard where nonprofit staff can view and edit badge configurations, preview assignments, and manually adjust badges if necessary. Include role-based access control to restrict editing to authorized users and maintain data integrity.
Display an always-updating leaderboard of top donors and fundraising teams. With live point tallies and rank changes visible at a glance, supporters and staff feel the thrill of friendly competition and stay inspired to climb higher.
The system will display an interactive leaderboard that updates in real-time to show the top donors and fundraising teams based on accumulated points from donations and engagement activities. The leaderboard will be embedded in the main dashboard interface, providing clear visual markers for rank positions, point totals, and recent changes. By integrating with the donation tracking API, the leaderboard will refresh immediately when new contributions are recorded, ensuring both staff and supporters experience the competitive momentum live. This feature aims to drive higher engagement by making progress transparent, motivating supporters to climb the ranks, and enabling fundraisers to identify high-performing donors at a glance.
Implement a robust data synchronization mechanism that captures donation events, team contributions, and supporter engagement metrics from various sources and pushes updates to the leaderboard with minimal latency. The sync process will leverage an event-driven architecture and WebSocket connections to ensure new data is propagated immediately across all connected clients. Data validation and caching layers will maintain consistency and prevent duplicate entries. This requirement is essential for maintaining the accuracy and timeliness of the leaderboard, ensuring users trust the displayed rankings and enabling timely decision-making.
Provide real-time notifications to both donors and staff when significant changes occur on the leaderboard, such as entering the top 10 or surpassing another contributor. Notifications will be configurable to trigger through in-app banners, email alerts, or push notifications on mobile devices. Users can set thresholds for the types of rank changes they wish to be notified about and adjust notification frequency. This feature will enhance user engagement by celebrating milestones, driving repeat donations, and keeping stakeholders informed of competitive shifts without constantly monitoring the dashboard.
Enable administrators to define and customize ranking tiers and associated thresholds, such as Bronze, Silver, Gold, and Platinum levels, within the leaderboard. Each tier will have configurable point ranges, icons, color schemes, and reward descriptions. The customization panel will integrate seamlessly into the admin settings, allowing non-technical users to update tier definitions on the fly. This feature will allow organizations to tailor the gamification mechanics to their fundraising goals and supporter expectations, enhancing the flexibility and appeal of the competitive experience.
Design and develop a responsive user interface for the leaderboard component to ensure optimal viewing and interaction across desktop, tablet, and mobile devices. The layout will adapt dynamically to different screen sizes, preserving data visibility, interactive elements, and performance. The design will adhere to accessibility standards (WCAG 2.1) and utilize progressive rendering techniques to maintain fast load times on mobile networks. This requirement will expand the reach of real-time rankings, allowing supporters and staff to engage with the feature anywhere, anytime, and on any device.
Track and showcase giving or outreach streaks for individual donors and team members—days of consecutive engagement or successive campaign contributions. Highlighting these streaks encourages reliable participation and rewards dedication to the cause.
Implement a backend service that computes giving and outreach streaks for donors and team members in real time. This engine will aggregate daily engagement and contribution data, determine consecutive engagement days or campaign contributions, and handle edge cases such as skipped days and custom streak definitions. It integrates with existing data pipelines and updates streak metrics continuously, ensuring accuracy and reliability.
Develop a front-end component within the Donorly dashboard to display individual and team streaks visually. This component should include charts, progress bars, and calendar heatmaps that highlight both ongoing and broken streaks. It will allow users to filter by donor or team member, date range, and engagement type, ensuring clarity and actionable insights.
Create an automated notification system that sends personalized alerts when streaks reach milestones, are about to break, or have been broken. Notifications can be delivered via email, in-app messages, or SMS, customizable by users based on threshold settings. This ensures timely follow-ups and celebrates achievements, driving continued engagement.
Introduce a leaderboard feature that ranks donors and team members based on their current streak lengths and overall consistency scores. The leaderboard will support sorting, filtering, and grouping, promoting healthy competition within the fundraising team and encouraging sustained participation and outreach.
Provide an administrative interface for configuring streak parameters, including engagement types to track, minimum contribution thresholds, notification preferences, and time zone settings. This panel will allow admins to tailor the consistency tracker to their organization’s unique needs and change settings without code changes.
Guide donors along a visual fundraising map dotted with unlockable milestones. As each goal is reached, participants see tangible progress toward shared objectives, creating a collective narrative that deepens emotional investment in the nonprofit’s mission.
Implement a dynamic visual map that displays fundraising milestones along a journey path, using icons or markers to represent upcoming, current, and achieved milestones. This module integrates into the donor dashboard, offering interactive hover or click states for detailed milestone information and progress percentages. It ensures that donors can intuitively grasp project goals and see their contributions’ direct impact.
Develop functionality to track individual donor contributions against specific milestones, displaying personal progress bars and contribution totals. This requirement pulls data from the fundraising database, calculates the donor’s share of each milestone, and updates in real time. It encourages donor engagement by showing personalized impact and motivating further support.
Create an automated notification system that sends personalized email or in-app alerts when a new milestone is unlocked. Notifications include milestone details, donor contributions involved, celebratory messages, and next steps. This fosters timely engagement, drives emotional connection, and encourages continued participation.
Build an interactive feature allowing donors to add comments or emojis at each milestone point, fostering a sense of community. The map displays aggregated donor messages in a sidebar or popover, promoting shared narrative and peer validation. It integrates moderation controls to ensure appropriate content.
Integrate real-time analytics widgets that display overall fundraising progress, rate of donations, and time-to-milestone projections. These widgets update continuously as donations are recorded, offering transparency and urgency indicators. They help both donors and managers monitor campaign health and adjust strategies.
Feature top donors and high-performing staff in periodic spotlight posts that include personalized thank-you notes or mini-profiles. This public recognition builds community, fosters goodwill, and encourages others to aim for the spotlight.
Develop a user-friendly interface that allows fundraising managers to create and customize shout-out posts. The UI should include fields for selecting a donor or staff member, uploading or selecting profile photos, entering personalized thank-you notes or mini-profiles, and applying branding elements and styling. It must integrate seamlessly with the Donorly user database to auto-populate recipient details and donation history. The feature should enable previewing posts before publishing and support both draft saving and quick one-click creation.
Implement a template management system where administrators can define, edit, and organize multiple shout-out post templates. Templates should support rich-text editing, placeholder tokens for dynamic data (e.g., {DonorName}, {Amount}, {Date}), and brand-compliant styling options. The requirement ensures consistency across posts, accelerates content creation for non-technical users, and centralizes template maintenance within Donorly’s brand guidelines.
Create a scheduling module that enables users to queue spotlight posts for automatic publication at specific dates and times. The feature should include a calendar view of scheduled, published, and draft posts, options for manual publishing, and the ability to edit schedules. It must integrate with Donorly’s scheduling service and the public website CMS, ensuring posts go live without manual intervention and reducing administrative overhead.
Build an engine that automatically identifies top donors and high-performing staff based on configurable criteria such as donation amounts, frequency, campaign performance, and internal targets. Provide filters and sortable lists for users to adjust thresholds, tag favorite recipients, and exclude certain profiles. The engine should integrate with Donorly’s analytics data, produce ranked recommendations, and allow one-click selection of candidates for spotlight posts.
Develop an analytics dashboard to track the performance of spotlight posts. Metrics should include page views, likes, shares, comments, and impact on subsequent donations. Provide graphical visualizations, KPI summaries, and exportable reports. The dashboard must pull data from Donorly’s analytics engine and correlate engagement with fundraising outcomes, helping teams measure ROI of recognition efforts.
Implement an approval workflow that routes newly created shout-out posts to designated stakeholders (e.g., executive directors) for review. The system should send automated notifications via email or in-app alerts, allow approvers to comment or request changes, and track approval status. Once approved, posts move to the scheduled queue. This requirement integrates with Donorly’s user roles and permission framework to ensure compliance and quality control.
Empower teams to design and launch custom, time-bound fundraising challenges—like “Call 20 Donors in a Week” or “Raise $5K by Friday.” Assign points, set rewards, and track progress in real time, driving targeted campaigns and boosting overall participation.
Provide an intuitive step-by-step interface that allows fundraising managers to define challenge parameters including title, description, start and end dates, fundraising goals, point assignments, and reward tiers. The wizard guides users through configuration, validates inputs, and integrates seamlessly with the existing Donorly dashboard for a cohesive experience.
Implement a live dashboard module that displays challenge progress at both individual and team levels, including total funds raised, tasks completed, point standings, and visual leaderboards. The dashboard should auto-refresh and allow filtering by date range, participant group, and challenge type to provide actionable insights at a glance.
Develop an automated notification system that sends personalized email and in-app reminders to participants about challenge milestones, upcoming deadlines, and newly unlocked rewards. Notifications should be configurable by challenge administrators, support scheduling, and include dynamic content based on user progress and engagement triggers.
Enable administrators to assign customizable point values to various fundraising actions (e.g., calls made, donations secured) and to configure reward thresholds and prizes. The configuration interface should support multiple reward levels, preview of point accumulation, and rules for bonus or penalty adjustments.
Create a participant management module that allows administrators to add or remove individuals and teams, assign roles (e.g., team captain), and track participant status. The module should support bulk imports, real-time syncing with the user directory, and granular permission settings for challenge access and editing rights.
Empower fundraisers to design custom chatbot conversation flows with a drag-and-drop interface. FlowWeaver lets you map donor journeys—from greeting to ask—without coding, ensuring every interaction aligns with your campaign’s voice and goals.
A visual editor enabling fundraisers to build and customize chatbot conversation flows by dragging and dropping predefined blocks representing greetings, questions, calls to action, and endpoints. This interface connects directly to the donor database and campaign settings, ensuring each step is automatically configured with the correct data fields, labels, and styling. By removing the need for coding, fundraisers can iterate quickly, align messaging with campaign tone, and deploy conversational journeys with minimal developer support.
An in-app repository of pre-built flow templates tailored to common fundraising scenarios—welcome series, donation follow-up, event invites, and volunteer outreach. Each template includes customizable text, logic branches, and design elements that fundraisers can adapt to their brand voice and campaign objectives. Templates accelerate setup, promote best practices, and ensure consistent donor experiences across different campaigns.
A rules engine within the flow editor that allows fundraisers to add conditional branches based on donor attributes, past behavior, and real-time inputs. Conditions can include donation history, engagement score, event attendance, or survey responses. Branching ensures personalized donor journeys, directing supporters to appropriate messages, upsell opportunities, or next best actions based on their unique profile.
An integrated preview mode that simulates the chatbot interaction in real-time, allowing fundraisers to test each step, validate conditional paths, and review donor personalization tokens before publishing. Preview supports multiple user personas, enabling scenario-based testing and error detection. This feature reduces deployment risks, ensures flow accuracy, and speeds up quality assurance.
A built-in analytics panel providing metrics on flow performance, including engagement rates, drop-off points, conversion metrics, and time to response. Visual charts and tables highlight which steps perform well and where donors are disengaging. Insights are integrated into the Donorly dashboard, enabling fundraisers to refine flows, optimize messaging, and measure the ROI of conversational campaigns.
Innovative concepts that could enhance this product's value proposition.
Sends instant notifications when donor engagement dips or spikes, highlighting top-priority relationships to re-engage or celebrate contributions.
Generates one-click donor segments based on dynamic filters like giving history or interest, delivering exportable lists instantly for targeted outreach.
Uses AI to craft personalized follow-up emails, suggesting donor-specific talking points and timing reminders to boost response rates.
Adds a friendly leaderboard showing top donors and team progress, motivating supporters and staff with real-time points and milestone badges.
Deploys a donor-facing chatbot to answer queries, schedule calls, and capture new supporter details directly on your fundraising page.
Imagined press coverage for this groundbreaking product concept.
Imagined Press Article
New York, NY – 2025-07-12 – Donorly, the leading real-time donor management platform for small nonprofits, today announced the launch of Pulse Predictor, a revolutionary machine learning feature that forecasts upcoming donor engagement dips and spikes before they occur. By harnessing advanced predictive analytics, Pulse Predictor empowers nonprofit fundraising teams to initiate proactive outreach, optimize communication timing, and strengthen donor relationships to maximize fundraising success. In today’s competitive nonprofit landscape, timely communication with supporters is crucial. Yet small nonprofit teams often struggle to anticipate when a donor’s engagement might wane or when an opportune moment for celebration will arise. Pulse Predictor analyzes historical giving patterns, campaign interactions, and sentiment signals to identify early warning signs of disengagement and forecast forthcoming spikes in donor activity. These predictive insights enable fundraisers to craft targeted campaigns and personalized follow-up sequences aligned with each donor’s unique behavior rhythm. Pulse Predictor integrates seamlessly with Donorly’s existing alerting system—including Dynamic Thresholds, Priority Pulse, and Sentiment Signal—to deliver prioritized notifications directly to users’ dashboards, mobile apps, or preferred communication channels such as email and Slack. Relationship Builders receive real-time guidance on which high-value supporters require immediate attention and which donors present emerging giving opportunities. “Predictive analytics marks the next frontier in nonprofit fundraising,” said Jane Smith, CEO of Donorly. “With Pulse Predictor, we’re giving small nonprofit teams the power to anticipate donor behavior rather than react to it. This proactive approach fosters deeper engagement, improves donor retention, and drives greater impact for every cause.” Beta participants have already reported transformative results. Morgan Thompson, Development Director at the Children’s Literacy Alliance, shared, “Pulse Predictor alerted us that a major donor’s engagement was trending downward two weeks in advance. We scheduled a personalized impact update call and not only retained their gift but increased it by 20%. This tool is already reshaping how we plan outreach.” Pulse Predictor’s algorithm continuously refines its accuracy by learning from real-time engagement outcomes and user feedback. When a predicted dip or spike materializes, the system adjusts its forecasting models to improve future predictions. This closed-loop learning ensures increasingly precise guidance over time. Fundraisers can visualize forecasted engagement trajectories via interactive charts that display predicted activity levels for individual donors or donor segments. Users can customize forecast time horizons, overlay past campaign performance, and export prediction reports for stakeholder presentations. These capabilities enable Insight Seekers to conduct deep analysis and fine-tune upcoming solicitation strategies. Pulse Predictor also offers seamless integration with popular CRMs such as Salesforce and Bloomerang through Donorly’s API and Zapier connectors. Fundraisers can sync forecasted engagement signals to their existing donor records, streamlining workflows and ensuring predictive insights are accessible across all donor touchpoints. Security and data privacy remain top priorities. Pulse Predictor processes anonymized donor information within Donorly’s SOC 2–compliant infrastructure. All data encryption, access controls, and security protocols adhere to industry-leading standards, giving nonprofits confidence that donor data remains safe and confidential. Looking ahead, Donorly plans to expand Pulse Predictor with cohort-level forecasting, allowing Campaign Coordinators to predict engagement dips or spikes for entire donor segments. A forthcoming “What-If” simulation tool will enable fundraisers to model how proposed campaign adjustments might influence donor behavior trajectories. As part of the launch, Donorly is offering exclusive early-adopter incentives. Nonprofits that activate Pulse Predictor by August 15, 2025, will receive personalized onboarding sessions, dedicated customer success support, and extended access to premium forecasting dashboards. “User excitement has been overwhelming,” said Michael Lee, Head of Product at Donorly. “Pulse Predictor shifts the fundraising paradigm from reactive to proactive stewardship. Our customers are already reporting higher donor satisfaction, improved retention rates, and increased average gift sizes.” Pulse Predictor is available immediately to all Donorly customers at no additional cost with the standard subscription plan. To explore Pulse Predictor in action and schedule a personalized demo, visit donorly.org/pulse-predictor or contact the Donorly sales team at sales@donorly.org. About Donorly Donorly equips small nonprofit fundraising managers with a real-time dashboard that pinpoints which donors need attention and what drives giving. Automated, personalized reminders ensure no supporter slips through the cracks, freeing teams from endless spreadsheets so they can focus on building deeper relationships and raising more funds. Media Contact Emily Johnson Public Relations Manager, Donorly press@donorly.org (555) 123-4567 www.donorly.org
Imagined Press Article
New York, NY – 2025-07-12 – Donorly today announced the general availability of FlowWeaver, an intuitive drag-and-drop chatbot conversation builder that enables nonprofits to design sophisticated donor engagement flows without writing a single line of code. FlowWeaver empowers fundraising teams to automate initial supporter outreach, answer donor questions, and capture new supporter details directly from campaign pages, all while maintaining the campaign’s unique voice and mission. As donors increasingly expect instant, 24/7 responses to inquiries, small nonprofit teams often lack the resources to staff live chat support around the clock. FlowWeaver closes this gap by enabling fundraisers and campaign coordinators to configure custom chatbot journeys that guide supporters through introductory dialogs, information requests, event registrations, and donation processes. The platform supports conditional logic, rich media, and seamless handoff to human agents for complex queries. “FlowWeaver transforms donor engagement by putting powerful automation in the hands of nonprofit teams,” said Jane Smith, CEO of Donorly. “Now, organizations of any size can create personalized, on-brand chatbot experiences that engage supporters instantly, even when staff are unavailable. This capability drives higher conversion rates and enhances donor satisfaction.” FlowWeaver features a visual canvas where users can drag elements—such as greeting messages, question prompts, multiple-choice options, file uploads, and thank-you confirmations—into a cohesive flow. Each node supports custom text, variables (e.g., donor name, gift history), and branching logic. Nonprofits can embed call-to-action buttons that direct donors to secure payment forms or schedule follow-up calls with fundraisers. FlowWeaver integrates seamlessly with Donorly’s real-time dashboard. Data collected through chatbot interactions—new contact registrations, event RSVPs, and FAQs—flows directly into donor profiles, updating engagement scores and enriching donor histories. Relationship Builders can then leverage Donorly’s TalkPoint Tailor and SparkLine features to craft targeted follow-up communications based on chatbot interactions. Beta testers have reported significant improvements in engagement metrics. Overwhelmed Oliver, founder of Community Hope Center, noted, “FlowWeaver allowed us to automate our event registration process, capturing attendee details and preferences without any manual effort. We saw a 40% increase in RSVPs and freed up two staff hours per week—time we redirected to personalized donor calls.” To ensure data security and compliance, all chatbot interactions are hosted on Donorly’s encrypted, SOC 2–compliant platform. FlowWeaver meets industry standards for data handling, access control, and privacy, giving nonprofits peace of mind when engaging with supporters. As part of the launch, Donorly is offering a suite of prebuilt chatbot templates tailored for common nonprofit scenarios—new donor welcome, event registration, volunteer sign-up, and donation reminders. Nonprofits can customize these templates or build flows from scratch. Looking ahead, Donorly plans to enhance FlowWeaver with multilingual support, advanced sentiment analysis, and deeper integration with third-party tools such as Mailchimp and Zoom. Future releases will include AI-powered intent recognition to route conversations more intelligently and generate automated follow-up email drafts based on chat transcripts. “FlowWeaver democratizes chatbot technology,” added Michael Lee, Head of Product. “Organizations no longer need dedicated developers or chat experts. Fundraisers can design, test, and deploy conversational experiences in minutes, increasing engagement while maintaining authenticity.” FlowWeaver is available immediately to all Donorly subscribers as part of the existing platform. To explore FlowWeaver and access tutorial resources, visit donorly.org/flowweaver or contact the Donorly team at sales@donorly.org. About Donorly Donorly equips small nonprofit fundraising managers with a real-time dashboard that pinpoints which donors need attention and what drives giving. Automated, personalized reminders ensure no supporter slips through the cracks, freeing teams from endless spreadsheets so they can focus on building deeper relationships and raising more funds. Media Contact Emily Johnson Public Relations Manager, Donorly press@donorly.org (555) 123-4567 www.donorly.org
Imagined Press Article
New York, NY – 2025-07-12 – Donorly today unveiled two new engagement features—Achievement Badges and Real-Time Rankings—designed to gamify fundraising activities and motivate donors and staff through friendly competition and public recognition. These additions transform giving milestones and team performance into dynamic, shareable experiences that drive excitement, boost retention, and reinforce a culture of philanthropy. Achievement Badges automatically award distinctive, tiered badges when donors reach specific giving milestones—such as first gift, annual cumulative totals, or special campaign goals. Donors receive their badges via email and see them displayed within the donor portal, encouraging pride in their contributions. Staff members earn badges for outreach achievements—calls completed, personalized emails sent, or successful event registrations—fostering healthy competition and motivating higher performance across fundraising teams. “Engagement thrives on recognition and achievement,” said Jane Smith, CEO of Donorly. “By gamifying the giving journey and stewardship workflow, Achievement Badges and Real-Time Rankings transform routine fundraising tasks into milestones worth celebrating. This emotional reinforcement deepens donor loyalty and energizes teams to reach new heights.” Real-Time Rankings presents an always-updating leaderboard of top donors and fundraising staff. Donors see how they stack up against peers, inspiring them to increase their support or rally others to give. Fundraising teams monitor staff performance through a separate leaderboard, tracking outreach KPIs, gift conversions, and engagement metrics in real time. The dynamic rank changes and point tallies are visible on the Donorly dashboard and can be embedded on campaign microsites to drive community-wide excitement. Campbell Lewis, Campaign Coordinator at GreenFuture Foundation, shared early success: “We launched an Earth Day challenge with Real-Time Rankings front and center on our campaign page. Donors loved seeing their names climb the board, and we witnessed a 30% increase in gifts during the 48-hour window. The badges created a sense of accomplishment that kept donors engaged long after the campaign ended.” Donorly’s gamification features integrate with existing campaign workflows. Campaign Coordinators set custom point values for actions such as donations, peer-to-peer shares, volunteer hours logged, or event check-ins. Achievement Badges and Real-Time Rankings automatically reflect those settings, ensuring alignment with each organization’s unique goals and incentives. To support inclusive participation, Donorly built in privacy controls that allow donors to opt out of public leaderboards while still earning badges privately. Staff leaderboards can be configured by team or department to promote collaboration without undue competition. For data-driven decision making, Insight Seekers can access detailed reports on badge distribution, leaderboard trends, and engagement uplift. These analytics reveal which milestones resonate most with donors and which team incentives drive peak performance, guiding future campaign design and resource allocation. “Donorly’s gamification tools have invigorated our entire fundraising cohort,” said Major-Gift Morgan. “Our board members love tracking high-level progress through the Real-Time Rankings widget, and our monthly donors look forward to unlocking new badges. It’s created a narrative of shared achievement that aligns with our mission.” Achievement Badges and Real-Time Rankings are available immediately to all Donorly users at no extra cost. Organizations can begin issuing badges and activating leaderboards with a few clicks in the campaign settings panel. To learn more and preview a live demo, visit donorly.org/gamification or contact Donorly’s team at sales@donorly.org. About Donorly Donorly equips small nonprofit fundraising managers with a real-time dashboard that pinpoints which donors need attention and what drives giving. Automated, personalized reminders ensure no supporter slips through the cracks, freeing teams from endless spreadsheets so they can focus on building deeper relationships and raising more funds. Media Contact Emily Johnson Public Relations Manager, Donorly press@donorly.org (555) 123-4567 www.donorly.org
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