Meta acquisition

Your best customers aren't always the ones your ads are finding.

Keeper connects your acquisition data with what customers do after their first purchase. Understand which campaigns bring valuable customers, what makes those customers different, and how to acquire more of them.

Free intelligenceActivate when you're readyYour team approves every audience
Acquisition intelligence Demo
  1. Acquisition campaignCampaign B · Prospecting
  2. Acquired customersNew customers in the window
  3. Downstream behaviorRepeat orders, full-price purchases
  4. Customer qualityHigher observed 90-day value
Recommended actionTest a seed audience of similar customers
Build Meta audience

Looks beyond initial ROAS and acquisition cost.

BRANDS WE'RE PROUD TO WORK WITH

The problem

The campaign with the best ROAS isn't always bringing your best customers.

Two campaigns can look very different when you follow the customers they acquire beyond their first purchase.

One may generate cheaper conversions. Another may acquire customers who return more often, buy at full price, and create greater long-term value.

MetricCampaign ACampaign B
ROAS4.2×2.8×
Customer acquisition cost$32$45
90-day repeat-purchase rate12%29%
90-day revenue per acquired customer$85$162
Full-price purchasingLowerHigher
Keeper's finding

"Campaign A looks stronger on initial acquisition metrics. Campaign B is bringing customers with higher observed repeat purchasing and 90-day revenue per customer."

Demonstration data, not verified merchant performance. Same 90-day observation window for both cohorts.

Don't just measure what an ad converts. Understand what those customers become.

Connect the dots

Your attribution tells you where customers came from. Keeper tells you what they became.

Connect Triple Whale or Northbeam alongside Shopify to analyze acquisition performance in the context of customer behavior after purchase.

Keeper brings together marketing acquisition data and maintained customer intelligence so you can investigate which campaigns, channels, and acquisition cohorts are associated with your most valuable customers.

  • Campaign and channel attribution
  • Acquisition cost
  • Attributed revenue
  • ROAS
  • Available source and campaign identifiers

  • Customer purchase history
  • Personas
  • Lifecycle and current state
  • Repeat purchasing
  • Product affinity
  • Discount sensitivity
  • Seasonality
  • Customer value over time

Keeper Acquisition Intelligence

  • Customer quality by acquisition source
  • Repeat purchasing by campaign cohort
  • Customer value by persona and acquisition source
  • High-value customer acquisition opportunities
  • Audiences worth testing
ROAS at acquisition
Campaign ALeads
4.2× · $32 CAC
Campaign B
2.8× · $45 CAC

Judged on the first conversion, Campaign A looks like the clear winner.

The first conversion is only the beginning of the customer story.

Persona intelligence

Know who your best customers are. Then understand what makes them buy.

Keeper combines available demographic context, such as age range, household income, and geography, with purchasing behavior, product preferences, lifecycle patterns, discount sensitivity, seasonality, and customer economics.

That understanding can inform not only who you target, but also what your ads say, which products you feature, and where you send people after they click.

Portrait of persona Sarah

Sarah

Full-price loyalist
Demographic context
Age
35–44
Household income
Higher household income
Location & context
Urban / suburban professional; top-value regions
Purchasing behavior
  • Strong repeat purchasing
  • Higher tendency to purchase at full price
  • Relevant product-category preferences
  • Long-term customer value
Creative direction
Emphasize product quality, craftsmanship, fit, and differentiation.
Landing-page direction
Relevant collections, product details, fit guidance, and product storytelling.
Offer strategy
Lead with product value rather than a blanket discount.
Example creative concept
FieldworkSponsored · Fictional brand
Fictional clothing concept highlighting overshirt fabric and craftsmanship

Made to be worn for years.

The fabric, the fit, the details you notice every time.

fieldwork.exampleShop the collection
Landing-page concept
Core collection
Fit guide
Fabric and construction story

A hypothesis informed by customer behavior. Test it before scaling.

Acquisition opportunities

Not every valuable-looking customer is worth acquiring more of.

Keeper evaluates personas and customer groups across downstream value, repeat behavior, discount dependence, product affinity, and available acquisition economics to identify which audiences are worth testing.

Evaluated together
  • Observed customer value
  • Repeat purchasing
  • Discount sensitivity
  • Product affinity
  • Persona composition
  • Historical acquisition costs, where available
  • Contribution economics, where sufficient data exists
  • Cohort maturity and observation windows

Loyal full-price customers

Prioritize
3,240eligible customers
  • Strong repeat purchasing
  • High observed customer value
  • Relatively low discount dependence
  • Relevant persona and product characteristics
Keeper assessment

This group shows a promising combination of repeat purchasing, observed customer value, and relatively low discount dependence. Prioritize it as a candidate Meta seed audience for testing.

High-AOV one-time customers

Do not prioritize
1,860customers evaluated
  • High first-order spending
  • Weaker observed repeat purchasing
  • Lower downstream value than the initial order might suggest
Keeper assessment

Do not prioritize solely on first-order AOV.

No audience recommended from this group at present.

Promotion-responsive repeat customers

Review
2,175customers evaluated
  • Meaningful repeat purchasing
  • High promotion responsiveness
  • Value depends on promotional costs and acquisition economics
Keeper assessment

These customers demonstrate meaningful repeat purchasing. Keeper would evaluate their customer value alongside promotional costs and acquisition economics before deciding whether to prioritize this group.

Further evaluation needed.

The right seed depends on your data. Loyal full-price customers are not the best seed for every brand.

Why these customers?

Selected audienceLoyal full-price customers · 3,240 eligible
Keeper's decision

Prepare a Meta seed audience from 3,240 eligible customers as a candidate for a controlled acquisition test.

From opportunity to Meta

Give Meta a better signal about the customers you want more of.

Keeper prepares eligible customer audiences based on the customer groups your business actually values.

Use those audiences as seed signals in Meta and test whether they help acquire customers with stronger downstream economics.

PreparingMeta seed audience
Customer groupLoyal full-price customers
Eligible3,240
StatusDraft only
3,240analytically eligible customers

Meta's matchable audience size is determined after upload and is typically smaller.

Persona composition
Sarah and David personas, with full-price repeat behavior
Lifecycle criteria
Loyal customers with multiple purchases
Value and repeat behavior
High observed customer value, strong repeat purchasing
Purchase and product characteristics
Mostly full-price orders across core categories

Build persona-seeded audiences to help Meta find more customers like the ones your business values. Results are not guaranteed and should be measured.

Measure what matters

The real result isn't just a conversion. It's the customer you acquired.

After an audience test, Keeper connects acquisition performance with the purchasing behavior of the customers acquired. That helps your team evaluate not only what it cost to acquire them, but whether they became the customers you wanted.

Acquisition performance
  • ROAS
  • CAC
  • First-order AOV
  • Attributed revenue
  • New customer volume
Downstream customer quality
  • Second-purchase rate
  • Repeat-purchase rate
  • Customer value over time
  • Discount dependence
  • Contribution economics, where sufficient data exists
MetricExisting acquisition audienceKeeper persona-seeded audience
Customer acquisition costBaselineAwaiting test results
First-order AOVBaselineAwaiting test results
Acquired persona mixBaselineAwaiting classification
Second-purchase rateBaselineAwaiting cohort maturity
90-day revenue per customerBaselineAwaiting 90-day observation
Discount dependenceBaselineAwaiting purchasing history
  1. Stage 1

    Acquisition

    Measure
    • Customers acquired
    • CAC
    • First-order AOV
    • Campaign attribution
  2. Stage 2

    Customer quality

    Evaluate
    • Persona composition
    • Product preferences
    • Discount behavior
    • Early repeat purchasing
  3. Stage 3

    Downstream outcomes

    Evaluate
    • Second-purchase rate
    • 90-day revenue per acquired customer
    • Repeat purchasing
    • Customer economics

Each metric is compared only once both cohorts have the same observation window.

Observed differences between cohorts are not proof of causal impact. Controlled tests are needed to measure incrementality.

What Keeper learns informs the next acquisition decision.

As new acquisition cohorts mature, Keeper refreshes its understanding of which customer groups are commercially attractive, which audiences deserve further testing, and where acquisition strategy may need to change.

Customer results

Better customer understanding. Better acquisition outcomes.

Mizzen+Main storefront
Mizzen+Main · persona-based acquisition
8×ROAS
22%Lower customer acquisition cost
10%Higher average order value

Results reported from Mizzen+Main's persona-based acquisition initiative. Not a guarantee of results for other brands.

Read the Mizzen+Main story
Month after month

As your customers change, your acquisition strategy should evolve.

Keeper keeps customer intelligence updated as new customers arrive, existing customers repeat, and their long-term behavior becomes clearer.

That means the customer groups worth acquiring more of can change over time.

  1. 01Analyze acquisition cohorts
  2. 02Understand customer quality
  3. 03Identify valuable personas
  4. 04Prepare Meta audiences and creative strategies
  5. 05Measure downstream outcomes
  6. 06Refresh the next acquisition decision
Find your next audience

Find out which customers are worth acquiring more of.

Connect your Shopify store to understand your best customers and discover acquisition opportunities for free.

Add Meta and your attribution tools to connect customer intelligence with campaign performance and activation.