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Gratona

Gratona Donor Intelligence · Comparison guide

Choosing donor research and intelligence

Bring research, relationship history and source context together so your team can make an informed cultivation plan.

Compare the work your team needs to complete, the experience for everyone involved and the effort of moving your data.

The options and their focus

Gratona Donor Intelligence

Prepare for the conversation behind the next ask. Bring research, relationship history and source context together so your team can make an informed cultivation plan.

Explore the product

Kindsight

Fundraising intelligence and donor research.

Read Kindsight’s product information

DonorSearch

Prospect research and donor intelligence.

Read DonorSearch’s product information

Product focus reviewed November 12, 2026. Capabilities and commercial terms change; use each provider’s current information for your evaluation.

Use the same scenario in every demo

A research question becomes a reviewed relationship plan.

  1. 1. Choose the research question

    Start with the decision your team needs to make and the relationship record already available.

  2. 2. Review the profile

    Read the research and supporting sources alongside existing organizational context. Distinguish known details from estimates.

  3. 3. Prepare the approach

    Connect capacity indicators with affinity, prior conversations and the purpose of the proposed ask.

  4. 4. Carry it into work

    Assign the next conversation and retain the outcome in the relationship history.

Include an exception: a source conflicts with the record

A research result may describe the wrong person or contain outdated information. Review the identity match and correct the brief before acting.

What to compare before you choose

  • Identity matching and source transparency
  • Research coverage and freshness
  • Capacity versus relationship affinity
  • Research cost and workflow handoff

Plan the move, not just the demonstration

Choose a representative research question and define your team’s source standards. Review profiles, identity matching, AI-credit usage and the handoff into relationship work.

Compare subscription, implementation, migration, payment and usage costs where relevant. Agree who owns the work after launch and what information you can export.