ReviewUpdated 2026-10-10

Gratefully Review: Donor Intelligence, Pricing and Fit

Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

By DiscoverAI Editorial TeamReviewed by DiscoverAI Editorial Review3 min readCustomers & CommunityHow we evaluate

Bottom line

Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

Donor relationship cards and a thank-you envelope on a stewardship desk
DiscoverAI editorial artwork Original editorial illustration; not a product screenshot or test result.

The decision

Should you choose Gratefully?

Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

Best for

Nonprofit teams retrieving donor context and preparing follow-ups.

Choose something else if

Automatic donor decisions or replacing the CRM

Evidence

Verified research · rating withheld

Pricing checked

See current vendor pricing · 2026-10-10

Free access is available, with limits.

Free tier and a time-limited trial; inspect current allowances.

In this guide
  1. Short answer
  2. How this review was researched
  3. Documented workflow
  4. Pricing and access boundaries
  5. Data, rights and operational limits
  6. Proposed buyer test
  7. Strengths and tradeoffs
  8. Alternatives and verdict

Short answer

Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

How this review was researched

This research-based review uses official public pages checked October 10, 2026. We have not used the product, measured output quality or audited security. Submissions identify candidates; they do not validate claims. Numerical ratings are withheld. The buyer exercise is proposed rather than completed.

Documented workflow

The product page describes an intelligence layer over existing donor systems, with source-linked answers, relationship context and outreach drafts. Salesforce, Bloomerang and Little Green Light are among its named connections. The homepage lists SOC 2 Type II as expected in Q4 2026; we have not verified a completed certification. No-training and redaction descriptions remain vendor claims.

Our editorial fit assessment: nonprofit teams retrieving donor context and preparing follow-ups. Avoid choosing it for automatic donor decisions or replacing the crm.

Pricing and access boundaries

Snapshot checked October 10, 2026. The pricing page displays Essential at $79/month with $948 billed yearly, Professional at $399 with $4,788 yearly, and Advanced at $799 with $9,588 yearly. These are annual commitments expressed monthly. Free lists one user, ten AI answers per month and five weekly actions; a 14-day Advanced trial needs no card. Confirm the monthly toggle and extra-seat costs at checkout.

Data, rights and operational limits

The privacy policy retains organizational records while accounts are active and offers export or deletion requests. It does not establish a fixed deletion deadline across active systems and backups. Ask for the processing agreement, subprocessor list and role permissions applicable to your connection. Source citations make checking possible; they do not guarantee accurate recommendations.

Proposed buyer test

Prepare a synthetic donor file with twelve records: a recurring donor, a missed pledge, an acknowledged gift, a duplicate contact and several similar names. Keep an independent answer sheet. Ask who needs follow-up, which evidence supports that decision and how each gift total was calculated. Inspect the cited records. A recommendation confusing two donors fails even if its email sounds polished.

Ask for five drafts using approved mission facts. Check names, giving restrictions, tone and invented promises. Have a fundraiser edit the drafts and record the minutes required. Test whether users can see only their permitted portfolio. Finish with an export and a deletion-process question. Compare with saved CRM reports and a manually maintained follow-up list.

Use a worksheet with input, expected result, actual result, editing minutes, total charge and accepted or rejected. Count unsuccessful attempts in total cost. Set a maximum budget and a stop condition before beginning.

Strengths and tradeoffs

Potential strengths: Donor-specific workflow; Source-linked review path; A free starting tier. Tradeoffs: Annual billing needs attention; Donor data needs contractual checks; Recommendations need human verification. These describe workflow considerations, not measured scores.

Alternatives and verdict

The baseline is your CRM plus a reliable weekly stewardship routine. Cleaner source records may solve more than another AI layer; distinguish cleanup gains from drafting gains. A pilot should assess accurate call preparation and fewer missed acknowledgments. Do not attribute new donations to the product without a defensible comparison.

An upgrade makes sense when an action list is reliable enough to use repeatedly and the team has capacity to act on it. More suggested outreach is not valuable if it exceeds staff attention or ignores a donor's preferences.

Record your acceptance criteria in the [Decision Workspace](/decision-workspace). Browse [other tool reviews](/articles) before adding another subscription.

Transparency

How this guide was checked

Editorial accountability

Who checked this guide

Meet the editorial team →
Evaluation type
Hands-on evaluation
Last materially checked
Evidence
3 listed sources

Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.

Editorial freshness

Pricing needs re-verification

Confirm checkout, billing units and plan entitlements before paying.

Review evidence

What this guidance is based on

Evidence type
Official-source research; no hands-on testing
Sources checked
October 10, 2026
Rating status
Not rated

Important limits

  • • No hands-on results, independent benchmarks or security audits.
  • • Current account entitlements and unresolved prices require confirmation.

Standardized benchmark coverage

How this review maps to the research benchmark

See all review statuses →

Citation accuracy

Not applicable

The reviewed workflow does not produce source-grounded research answers, so a citation score would be misleading.

Read protocol v2026.10-v1 →

Thematic analysis

Not applicable

The reviewed workflow is not qualitative evidence analysis, so a thematic-analysis score would be misleading.

Read protocol v2026.10-v1 →

Eligibility is not a product score. DiscoverAI publishes results only after output collection, blinded adjudication, reproducibility checks, and severe-error review.

Open the optional evaluation worksheet

Reusable trial worksheet

Test Gratefully before you commit

Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.

0/7 checks complete
  1. Confirm the tool meets every must-have workflow and stakeholder requirement.

    Review starting point: Nonprofit teams retrieving donor context and preparing follow-ups

  2. Run the same representative work you would use in production; do not score a polished demo.

    Review starting point: Run a bounded set of representative tasks with known acceptable outcomes, then compare the result with your current workflow.

  3. Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.

    Review starting point: The pricing page displays Essential at $79/month with $948 billed yearly, Professional at $399 with $4,788 yearly, and Advanced at $799 with $9,588 yearly. These are annual commitments expressed monthly. Free lists one user, ten AI answers per month and five weekly actions; a 14-day Advanced trial needs no card. Confirm the monthly toggle and extra-seat…

  4. Define an acceptance threshold, test known answers and edge cases, and record every correction.

    Review starting point: Editorial quality signals: features 0.0/5. Validate these signals in your own work.

  5. Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.

    Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.

  6. Test the real handoffs, permissions, failure states, and export path your team depends on.

    Review starting point: Gratefully integration requirements are not fully structured in this review; list every required system and test each connection.

  7. Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.

    Review starting point: Annual billing needs attention; Donor data needs contractual checks; Recommendations need human verification

Open Decision Workspace

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Community evidence

How verified users put Gratefully to work

Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.

No approved community evidence yet. Be the first verified user to contribute.

Sources and verification

Product details and claims were checked against the following primary sources.

Frequently asked questions

Has DiscoverAI tested Gratefully hands-on?

No. This uses official-source research; ratings are withheld and the buyer exercise is proposed.

Is Gratefully a CRM replacement?

Its positioning is a layer over existing donor systems. Evaluate synchronization and ownership of the underlying records.

What should I check before paying?

Confirm current billing, access limits and processing terms, then run a small trial against written acceptance criteria.

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Recommended tool

Use Gratefully if this workflow fits your team

Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

Tools mentioned in this article

Gratefully

Nonprofit teams retrieving donor context and preparing follow-ups

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Shortlist Gratefully when donor follow-up is delayed by scattered records. Evaluate source accuracy and outreach quality before connecting the full donor database.

FreemiumChurches NonprofitsCrm

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