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Audience Simulator

Traditional targeting leaves high-intent donors off the list.

Most targeting runs on wealth screening, RFM or a single org’s data. Try the models to see how Dataro ranks the same donors by propensity and intent, and who the old methods leave behind.

How to use the tool: Choose a model to compare rankings.

No model

Wealth screening

RFM

Single-org model

Dataro

Programme

People contacted30,048same volume, whichever model you pick

Right people reached—

Wasted contacts—

← Gave most recentlyHigher value & frequency ↑

Lower value & frequency ↓Longest lapsed →

Score on recency, frequency and monetary value. Contact the best-scoring 12%.

This is the choice that feels safe, and it earns that — the top of the RFM file genuinely does respond. But the block describes what people have already done for you. Some of those squares have no intent left, and a lot of real intent is sitting outside the block where RFM cannot see it.

The takeaway

The ranking method determines who makes the list.

The simulator holds contact volume steady and changes only the ranking method. That isolates the real targeting decision: which donors make the list when the budget cannot cover everyone.

Wealth screening estimates who has financial capacity. RFM summarizes who gave before. A single-org model learns from one organisation’s history. Dataro ranks who is most likely to act now by combining propensity and intent.

That ranking gives the team a smaller, higher-confidence audience. It turns the next campaign, appeal, or program into a clearer decision about who to focus on and what to do next.

Method comparison

Each method sees a different part of donor readiness.

Many teams already use RFM, wealth screening, or both. Those methods are useful.
The difference is the question each approach can answer and the donors it can still miss.

Wealth screening

Good at

Estimating financial capacity and identifying people who may be able to give more.

Where it falls short

Capacity is not the same as readiness. A wealthy donor may still have low interest in the next ask.

What it can miss

Donors with strong intent whose wealth signals are limited, old, or unavailable.

RFM

Good at

Summarising recent, frequent, and higher-value giving in a simple score.

Where it falls short

It describes past transactions and can over-rank donors whose previous behaviour has cooled.

What it can miss

People with current intent that is not visible in their last gifts alone.

Single-org models

Good at

Learning patterns specific to one organization’s file and fundraising history.

Where it falls short

It can only learn from the volume, variation, and outcomes in that one file.

What it can miss

Broader patterns that can improve confidence when local data is sparse.

Good at

Ranking each donor’s propensity to take a specific action and surfacing intent.

Where it falls short

It depends on connected donor data and a clearly defined fundraising objective.

What it can miss

No model removes uncertainty. The advantage is a clearer priority order, not a promise that every prediction converts.

Customer results

Sharper rankings help teams raise more while contacting fewer donors.

When the ranking gets sharper, teams can contact fewer people and still improve the result.

Bat Conservation International

160%

above appeal target

+$48K

added revenue

Mailed 2,300 fewer letters, increased average gift by $100, and saved $5.3k in mailing costs.

UNICEF Australia

+26%

net appeal income

+35%

ROI

Mailed 15,000 fewer donors.

Integrations

Dataro adds predictive ranking without replacing your CRM.

Dataro sits on top of your CRM and existing donor data as a predictive layer. It adds ranked recommendations without asking your team to replace the systems or workflows already in place.

Dataro complements the targeting tools teams already use.

Answers about how Dataro compares with wealth screening, RFM, and single-org models.

How is Dataro different from wealth screening?

Wealth screening estimates financial capacity. Dataro ranks each donor’s likelihood to take a specific action using propensity and intent. Capacity helps explain who could give, while propensity helps decide who to contact now.

Does Dataro replace RFM?

No. Many teams use RFM, and it remains useful for summarising recency, frequency, and monetary value. Dataro adds a predictive ranking across more signals, which can surface ready donors that historical scoring alone can miss.

How is Dataro different from a model trained on one organization’s data?

A single-org model learns only from the volume, variation and outcomes in that organization’s history. Dataro adds a broader predictive layer to the organization’s own data so the ranking can be more confident when local signals are limited.

Can I use Dataro with my CRM?

Yes. Dataro sits on top of your existing CRM and donor data. It returns ranked recommendations, so your team can keep its current systems and workflows.

What do propensity and intent mean in this simulator?

Propensity is the likelihood that a donor will take a specific action. Intent is evidence that the donor is ready to act now. Dataro uses both to rank who should move to the top of the audience.

Get Started

Your next appeal can start with a higher-confidence audience.

Bring your CRM and a specific campaign, appeal or programme. We’ll show how Dataro adds a predictive layer to your existing data and ranks the audience your team should act on next.

Book a demo

Dataro helps fundraising teams decide who to focus on, who to engage, and what to do next — before the budget moves.

How it works

Donor predictions

Reporting & benchmarks

Programs

Direct mail & telemarketing

Digital marketing

Monthly giving

Mid-level giving

Major & planned giving

Resources

Select Language

Canada

Get Started

Your next appeal can start with a higher-confidence audience.

Bring your CRM and a specific campaign, appeal or programme. We’ll show how Dataro adds a predictive layer to your existing data and ranks the audience your team should act on next.

Book a demo

Dataro helps fundraising teams decide who to focus on, who to engage, and what to do next — before the budget moves.

How it works

Donor predictions

Reporting & benchmarks

Programs

Direct mail & telemarketing

Digital marketing

Monthly giving

Mid-level giving

Major & planned giving

Resources

Select Language

Canada

Get Started

Your next appeal can start with a higher-confidence audience.

Bring your CRM and a specific campaign, appeal or programme. We’ll show how Dataro adds a predictive layer to your existing data and ranks the audience your team should act on next.

Book a demo