01
D2C beauty brand
-35% blended CAC in 90 days using top-decile CLV lookalikes.
Solutions
Fundle.ai: CAC is a math problem. First-party data is the answer.
Reduce CAC by activating first-party audiences. Lookalikes from your highest-CLV cohorts, WhatsApp lead capture, bill-scan enrolment, app installs that stick.
Section 01
The thesis
The problem
Acquisition is expensive — paid CAC has tripled in three years. Most retailers are buying generic audiences and praying. The cheapest customer is the one your highest-CLV member looks like.
The Fundle approach
Fundle builds lookalike audiences from your top-CLV cohorts, pushes them (hashed, consented) to Meta/Google, and captures the inbound through bill-scan/WhatsApp enrolment that takes <30 seconds.
Section 02
The capabilities
Everything you need — native, not stitched together.
01
CLV-based lookalikes
02
Hashed audience push (consent-tracked)
03
WhatsApp bill-scan enrolment
04
30-second app onboarding
05
Channel-level CAC reporting
In production
Use cases
What it looks like when this runs in production.
·-35% blended CAC typical
·30-second enrolment
·40%+ enrolment-to-active rate
“Most Indian retailers sit on a goldmine of first-party data. Fundle turns that goldmine into a monthly cohort uplift number the CFO can see.”
Vineet NarangCo-founder, Fundle · LinkedIn
Questions
Most asked
The questions enterprise loyalty teams ask first.
How is this different from typical paid-social?
You're bidding against everyone for the same generic audience. Lookalike-from-top-CLV is a cohort almost no one else is targeting yet.
Continue exploring
Next step
Ready to see Fundle in action?
A 30-minute working session with a Fundle loyalty strategist and a solutions engineer — tailored to your brand or mall.