Your data shows what people do. Moonbrush knows why.

Moonbrush builds custom audiences around the motivations behind behavior, not demographic lookalikes. See who is ready to act, why, and what to say to them.

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Your data can’t tell lookalike customers apart.

Segments built on demographics and past purchases sort customers by what they have in common. People who match on paper end up in the same audience and get the same ad, even when they bought for different reasons and will do different things next.

We build audiences from what people do over time and score the reason behind it. Each cohort gets a message written for why people buy, so your budget goes to the people that message can persuade.

Customer A

Age
34
Household
Single, rents downtown
Income
About $95K
Just bought
Running shoes and a GPS watch

Customer B

Age
34
Household
Single, rents downtown
Income
About $95K
Just bought
Running shoes and a GPS watch

Identical in every system you own

  1. Day 3Entered a fall marathon lottery
  2. Day 17Joined a Saturday long-run club
  3. Day 25Priced energy gels by the case
  1. Day 2Booked a hotel near a June wedding venue
  2. Day 8Saved wedding-guest outfits
  3. Day 23Looked up tailors with rush service

Why

Training for a first marathon

What they need to hear

“Built for mile 20.”

Why

Getting ready to be a guest at a June wedding

What they need to hear

“Look sharp in June.”

Illustrative customers.

Behavioral intelligence, built into your stack or open on your desk.

We read what people keep doing in every part of their lives, not only in your category, so an audience can start from a behavior your brief never mentioned.

For brands and data teams

Plug behavioral scores into the pipelines you already run.

atlas connects to your warehouse, CRM and clean room and writes a behavioral score back to every record, with the behavior behind it and the line to lead with. Audiences go straight to the channels you already buy, and your teams keep working in the tools they know.

For agencies and planners

Give the people doing the work their own workspace.

In stage, you describe an audience in plain English and see who fits, the behaviors that set them apart, and the groups you didn’t think to ask for. Then you adapt the client’s existing ads for each group and activate them.

Illustrative examples. Behavior names are the names our models use; counts and shares are examples, not measurements.

Powered by

atlas and stage run on Gravity, our family of 100 proprietary behavioral models. Gravity scores who is ready to act and why, and rescores people as their behavior changes.

Learn how Gravity works

Every marketing dollar has to go further now.

Marketing budgets have shrunk, and the people that money is meant to reach have learned to tune ads out. Brands and their agencies feel it in four places.

Marketing budgets as a share of company revenue
Marketing budgets as a share of company revenue
YearShare of revenue
20239.1%
20247.7%
20257.7%
20267.8%

Source: Gartner CMO Spend Survey, 2024, 2025 and 2026 editions

  • Your ads keep reaching people who won’t buy.

    Put your budget on the people most likely to act. Your data only shows part of who they are, so we score every person on their real behavior.

    How a fuel retailer did it
  • Your competitors can buy the same audience.

    Own an audience no one else can bid on. We build each cohort from real behavior for you alone, and it updates as the people in it change.

    How the Padres did it
  • Your customers have learned to tune ads out.

    Give every cohort an ad worth stopping for. We write each one’s creative angle around the reason those people buy, and adapt the ads you already run.

    How CVS MinuteClinic did it
  • You can’t prove the lift came from your work.

    Show what your work added. Every audience goes to your DSPs with a holdout built in, so you can report the lift to whoever signs off on budget.

    How ALDI measured it

Platform screens with demo values.

Your next audience starts with 270M+ U.S. adults.

We build each audience person by person from everyday behavior, then refresh it daily so it changes when people do.

270M+
U.S. adults and their households
62.6B
behavioral events, refreshed daily
10
years of campaigns behind the models

One household, read over weeks

  1. Week 1Priced a backyard pool
  2. Week 2Looked at shade sails and patio misters
  3. Week 4Read the city’s short-term rental rules
  4. Week 6Compared vacation-rental listing sites

What a tracker logs

Home improvementOutdoor livingReal estateTravel

What Moonbrush reads

Turning the house into a vacation rental

Lead withSell the pool as a booking feature, not a family upgrade.

Illustration. Invented households, not real people, showing the kinds of patterns Moonbrush reads.

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