AI personalized

Outreach

No supporter gets the same email twice.

Outreach runs on an evidence library of peer-reviewed donor-behaviour research rather than copywriter instinct. The decision engine reads each supporter's profile, draws the findings that actually apply to them, and builds the journey — inbox, campaigns, forms, events and the send calendar all working from the same record.

Built on evidence, not instinct

More than 200 peer-reviewed and tested studies of donor behaviour sit behind every sequence, with around ten drawn for any one campaign. A finding that does not replicate when the cohort tests it comes back out of the library.

It works on the list you actually have

Most files carry years of dormant contacts. Enrichment and cleaning separate the genuinely engaged from the never-asked — across the cohort that meant working down from more than 200,000 contacts — and re-engagement opens with a plainly written note and an optional two-minute quiz rather than another ask.

Ask for a campaign in plain words

"Generate me a campaign for the people who joined our Climate Week event." The engine reads each supporter's profile and writes the sequence around them — one campaign, different content per person, every message tracing back to the profile and the findings that produced it.

And when you do not hold it, the signal gets gathered

A thin record is filled rather than guessed at. Public context is added only with explicit consent, and where that still is not enough the platform goes and asks — the way Net Impact is building impact-themed quizzes to re-engage alumni now established in their careers, turning a two-minute answer into the brief that writes their next email.

Live: the Net Impact quiz, built on Whitelabel. Take it yourself ↗

Journeys that grow with your trust

Automated AI journeys start by asking. As a routine proves itself it earns the right to run on its own, built from the logic and evidence of real donor interactions and your playbooks — while higher-value decisions still come to you for review. How often people override it is measured, not hidden.

Whitelabel vs the market

How Outreach compares

A quick, honest look at how Whitelabel stacks up against ChatGPT plus a CRM and Mailchimp for nonprofit teams.

Whitelabel
  • Campaigns designed in your brand, to your quality bar
  • CRM, journeys and sends in one place
  • Nothing lost in the hand-off
  • A personal supporter brief for every donor
  • Major-donor stewardship, at scale
ChatGPT plus a CRM and Mailchimp
  • General LLMs cannot hold your brand or reach your donor data
  • Jump from the CRM to Mailchimp and back, tool to tool
  • Every export and re-sync costs you quality and time
  • No other CRM writes one; that stewardship stays manual
  • Reserved for the top of the file, because it is hand-written

Comparison shown for illustration. Competitor terms change, so always check current pricing.