Cut your Meta ad spend 30-50%. Same ads. Better targeting.

Meta only sees who clicks your ads. Mochi feeds it who qualifies, who books calls, and who pays - so its algorithm hunts for people who actually make you money, not random clickers.

Coaches running 20K+/mo in Meta ads typically save $6K-15K per month within their first three weeks.

Event Stream

Call Booked

Qualified

New Lead

In Contact

Won

No Show

Event Stream

Call Booked

Qualified

New Lead

In Contact

Won

No Show

Event Stream

Call Booked

Qualified

New Lead

In Contact

Won

No Show

Event Stream

Call Booked

Qualified

New Lead

In Contact

Won

No Show

Why your CPL climbs the more you scale.

Your Meta pixel can see who clicks your ad. It can't see who DMs you, who qualifies, who books, or who pays. So Meta's algorithm optimizes for the only thing it knows - clickers. Not closers.

Clicked your ad

1,000

mochi

Clicked your ad

1,000

DM'd you

80

Qualified by setter

25

Closed deal

8

Your pixel sees the top line. Mochi sees all four. Meta only learns from what it sees.

The 2026 reality

The 2026 reality

Browser-pixel setups now miss 50%+ of actual conversions after iOS 14.5, ad blockers, and in-app browser restrictions. Your media buyer is optimizing on a half-blind signal.

Browser-pixel setups now miss 50%+ of actual conversions after iOS 14.5, ad blockers, and in-app browser restrictions. Your media buyer is optimizing on a half-blind signal.

Every qualified lead, booked call closed deal - sent to Meta automatically.

Every event fires automatically as your team works in Mochi. Nothing to install. Nothing for your setters to learn.

New leads

When a new DM lands in your inbox

Qualified Leads

When your setter marks the lead as qualified

Booking scheduled

When your setter marks the lead as qualified

Deal won

When the deal closes - with the dollar amount attached

AI Tags

You can create one and let AI filter the conversations for it, e.g. "Capital Confirmed" and the prompt would be something like "Lead has confirmed they have more than 5k available and are ready to invest".

Link clicks

e.g. everyone who received a Calendly booking link or a Coaching Mastermind Link and has clicked/ not clicked on the link can be exported and targeted.

Lower cost. Better leads. Real ROAS.

Your cost per lead drops

Meta's algorithm now hunts for people who look like the leads who actually qualified - not lookalikes of your random clickers.

Your leads get better, not just cheaper

The more buyer data Meta sees, the more your DMs start filling with the kind of person who actually converts.

Your ad spend gets predictable

Real revenue values flow back into Meta Ads Manager. ROAS stops being a spreadsheet exercise.

Day one. Not week eight.

Meta normally needs 6–8 weeks of fresh conversion data to optimize a pixel. We don't wait. The day you connect Mochi, we replay every qualified lead and closed deal already sitting in your account back to your pixel.

0

0

Qualified leads replayed to your pixel

$0

in closed revenue attached to 42 Purchase events

$0

in closed revenue attached to 42 Purchase events

Your pixel walks in pre-trained. Your media buyer scales from day one instead of waiting two months for Meta to learn.

Five minutes. One time.

OAuth

Connect Meta

OAuth login from inside Mochi's Integrations settings.

fb.com/mochi

Updated 18m ago

Pick your pixel and ad account

Two dropdowns. Your existing pixel stays, we just feed it more data.

Lead

Qualified Lead

Schedule

Purchase

Toggle which events fire

Lead, Qualified Lead, Schedule, Purchase. All on by default.

replaying historical events

Hit backfill

Replay the last 90 days of historical conversions to your pixel. Runs in the background.

Brief your media buyer

Send them the campaign shift playbook above. They take it from there.

Frequently Asked Questions

Most of my DMs don't give us their email or phone. Does this still work?

What about DMs that come from organic posts, not ads?

Will this mess with my existing pixel data?

How long until my CPL actually drops?

Is this GDPR and privacy compliant?

What's the catch?