Industries · Nonprofits & Political · Charities · Advocacy · Campaigns · Associations · Higher-ed advancement

Nonprofits and political, from likely donors in one zip code to a modeled file across every channel.

A regional food bank wants the likely donors within its service area who give to hunger causes. A national advocacy organization wants every donor, member and supporter resolved to one person across chapters and measured against mail, CTV and digital. The donor and political bundles on 240M adults, likely donor, causes supported, average gift, registration and modeled leaning, serve both.

Audiences are built on donor history, causes, household and open research intent; election-related use follows FEC, state and platform rules.

  • Likely-donor flag, causes supported, number of charities, donations made and average gift on roughly every US adult.
  • Registered-voter status, modeled leaning, political-donor flag and current-affairs engagement for advocacy and campaign audiences.
  • Acquisition mail from the graph or your file, in home within a week, matched back to gifts by address.
US Consumer Data · Likely donors · Hunger causes · Service area · 18,400 households
SegmentLikely donorCauses: hunger, communityAverage gift: mid bandsWithin the service area
SignalsFood bank volunteerDonate to food bankGiving Tuesday
ExcludedCurrent donors · 9,300
PushedDirect Mail · 18,400Meta · 59% matchedCTV via DSP
Mail the listPush to MetaSend to the CRM
240M+US adults in the graph
120Mbusinesses, with the people in them
2Tintent signals read a day
400+attributes on a person

The ladder · simplest to largest

Five rungs, from one acquisition mailing to the organization's supporter warehouse.

Nonprofits start with the mail, because acquisition mail is still where files grow. The rungs after it are about keeping donors, finding the major ones and measuring every channel on one person.

Rung 1 · Day one

A local nonprofit, a single campaign, a chapter, a small development office

Pull the likely donors in your area, and see who visited the donate page.

Build one US Consumer Data segment: households in your service area with the likely-donor flag and your causes, in the average-gift bands you acquire at. Mail them with Direct Mail, in home within a week, matched back to gifts by address. Put the Website ID tag on the site and see which households read the donate and volunteer pages last night.

  1. Build the segment in US Consumer Data: service area, likely donor, causes, gift bands.
  2. Mail it through Direct Mail; match back by address to gifts.
  3. Install the Website ID tag; by tomorrow the households on the donate page are in the app.
Rung 2 · First month

An organization with a digital budget, a state campaign, an association recruiting members

Advertise to likely donors, suppress current ones, and run acquisition mail every season.

Ad Audiences turns the segment into hashed audiences on Meta, Google, YouTube and CTV, by cause and gift band. Smart Exclusion keeps current donors and members out of acquisition spend, so they get stewardship instead. Direct Mail runs the seasonal acquisition drops, matched back to gifts. Political ads follow FEC disclaimers and platform rules, which the rep walks through.

  1. Build audiences in Ad Audiences per cause and campaign; match rate per platform shows first.
  2. Load the donor or member file into Smart Exclusion.
  3. Run seasonal drops through Direct Mail; match back to gifts.
Rung 3 · First quarter

A development team with a donor CRM (Raiser's Edge, Salesforce Nonprofit Cloud, Bloomerang) and a major-gifts officer

Enrich the donor file, screen for capacity, and watch lapsed donors for the week they care again.

Enrich appends donor, household, finance and life-stage fields to every record, written back through Integrations, so the major-gifts officer sees capacity and causes on every prospect. Pulse watches lapsed donors and event attendees for the week they research the cause, a disaster or Giving Tuesday, and routes them to a reactivation appeal.

  1. Enrich the donor file with Enrich; capacity screening on the fields the graph holds.
  2. Put lapsed donors and attendees on Pulse; weekly, who is engaged with the cause.
  3. Route through Integrations to the gift officers and the email platform.
Rung 4 · First year

A national organization with an analyst, or a campaign with a data director

Model who gives and how much, score the universe, and feed the cause's researchers.

Join enriched donor fields and identified Website ID visitors to gifts, fit a propensity-and-gift-size model, and score the prospect universe monthly by API. Seed Ad Audiences with the top decile; mail it; scope a Custom Intent Feeds feed on your cause, your organization and the issues your supporters follow.

  1. Train on gifts: donor fields, causes, household and finance bands and topic recency carry most of the signal.
  2. Score monthly by API or through the MCP server; refresh audiences, mail and suppression together.
  3. Build the Custom Intent Feeds feed to a written scope: cause, organization, issues, geography.
Rung 5 · At scale

A national nonprofit, a federated organization, a party committee, an association with chapters

Resolve every donor, member and supporter to one person across chapters, and measure every channel.

Enterprise delivers the graph on a schedule to the warehouse, resolves chapters, programs and campaigns to one person, runs matching with media partners in the Clean Room, and streams audiences to The Trade Desk integration for CTV and programmatic. Mail, CTV, digital and events are measured on the same supporter key. A proof of concept on your donor file comes first.

  1. Proof of concept: the donor file against the graph, match rate and coverage reported.
  2. Scheduled warehouse delivery; one supporter key across chapters and programs.
  3. Clean-room measurement; CTV and programmatic through the DSP integrations.

What nonprofit and political teams use it for

What nonprofits, campaigns and associations run on the graph.

Likely-donor digital audiences

Donor and cause fields as hashed audiences on Meta, YouTube and CTV.

Donor suppression

Current donors and members excluded from acquisition spend so they get stewardship.

Who read the donate page

Households on the site last night with their fields.

Capacity screening

Donor, household and finance fields appended to the file for major and planned gifts.

Lapsed-donor reactivation

Lapsed donors researching the cause or the organization this week.

Advocacy and voter contact

Registration, modeled leaning and current-affairs fields for audiences within FEC, state and platform rules.

Corporate and foundation relations

CSR, foundation and community-affairs leaders, phones validated.

Disaster and moment feeds

Households researching the event or the cause, delivered daily for rapid-response appeals.

Gift-size models

A model trained on gifts, scored monthly across the prospect universe.

Federation-wide identity resolution

Chapters and programs resolved to one supporter in the warehouse.

Agencies serving nonprofits

Every product under your brand, one sub-account per organization.

Use it right

Honored opt-outs, FEC and state rules, and consent for the texts.

What applies when the buyer raises money or votes. Your counsel decides; this is how the data behaves.

  • Political use. Campaign and advocacy ads carry FEC and state disclaimer rules, and Meta, Google and the DSPs restrict political targeting and require advertiser verification; the rep walks through what each platform accepts.
  • Calling and texting. Every phone carries a do-not-call flag and a line type. Political and charitable texting still needs TCPA consent for autodialed messages; the flag keeps the list honest.
  • Charitable solicitation. State registration and disclosure rules for charitable solicitation apply to your appeals; the data finds donors, your compliance sets the copy.
  • Non-FCRA. Finance fields are modeled marketing data for capacity screening and never a decision about a person.
  • Opt-outs honored. People who opt out through datamoon.com are removed from every product and from pulled records on the next refresh.

Questions

Questions a development director asks first.

What is in the donor bundle?

A likely-donor flag, causes supported, number of charities, donations made and average gift, on prospects as well as on the records you already hold once they are enriched.

Can we keep current donors out of acquisition?

Yes. Load the donor file into Smart Exclusion, hashed. Each donor expands to every identifier the graph knows and is excluded on every platform and from every mail drop.

Can we use the political fields?

Registered-voter status, modeled leaning, political-donor flag and current-affairs engagement are selection criteria for advocacy and campaign audiences; FEC, state and platform rules govern the ads and your counsel applies them.

Does it work with Raiser's Edge or Salesforce Nonprofit Cloud?

Salesforce through the integrations; Raiser's Edge, Bloomerang and others through exports or the API.

What does an enterprise engagement look like?

A proof of concept on your donor file, then scheduled delivery of the graph into the warehouse, identity resolution across chapters and programs, and clean-room measurement, on an annual contract.

Other industries

The same graph, a different ladder.

Book a free demo

Bring your service area and your cause. We count the likely donors on the call.

Thirty minutes: one likely-donor segment counted in your area with the cause and gift-band fields, your current donors' overlap with the audiences you run today, and the next rung written down.

Book a free demoSee how it works

Thirty minutes, live on your own data. A person who knows the products and this industry runs the call. By continuing you accept the DataMoon terms.