Meta ads tactics

Made in 30-60 minutes in his basement: a screenshot/screen-recording voiceover tutorial, with the QuickTime recording dot still visible, thumps and clicks audible and a misspoken number left in. Hook: 'most golfers could use a little help understanding strokes gained' (confusing to some, a chance for experts to feel knowledgeable). It then walks through a real 430-yard par 4 showing strokes gained for a drive down the middle, into the rough and into a bunker, and ends 'try out Shot Pattern so you can see strokes gained before you hit the shot'. It showed the core audience exactly what they already wanted to do.

Use only the Meta SDK at the start. Send install, paywall view (standard View Content event, fires when the paywall loads), initiate checkout, start trial and subscribe. In Meta Events Manager > Data sets > your app, pick the same date range as App Store Connect. Compare installs with App Store Connect Analytics > Total Downloads, and start trials with Analytics > Metrics > Subscriptions > Events > Offer Starts filtered to Free Trial Starts. Over Sept 14 - Oct 10: ~3,000 downloads in App Store Connect vs a little over 4,000 in Meta; 312 trial starts vs 276 in Meta.

Context: on Meta, credit/fintech ads can't use lookalikes, age, gender, ZIP or specific interests. Funnel was install -> sign-up -> KYC -> bank link -> first transfer (revenue event). Sign-up was too loose (people gaming cashback/referral rewards); first transfer was too deep (three high-friction steps). At sign-up, data was routed to the internal database and the first and last name run through a name-origin API; anyone with 70%+ probability of being from South Asia (the Indian expat target) triggered a synthetic 'HQ' event sent back to the ad network. No financial data or PII was sent. The event met the three criteria: enough volume (Facebook 50/7 days, Google 10/campaign/day), recency (within 24-48h) and a good proxy for first transfer. Guest notes such scoring could now be vibe-coded instead of using an API.

For a 7-day free trial that auto-renews into a subscription, analyzed how soon after starting the trial people cancel: 25-30% cancelled within the first 12 hours. Instead of firing trial-started immediately, sent an adjusted trial-started event to Meta after ~12 hours (host: '12 hours and 5 minutes') only for users who hadn't cancelled, so the algorithm finds users more likely to pay. Done around 2023 or earlier; guest says it was an industry first then and is now commonplace.

Once an organic video passes ~5% engagement rate, put spend behind it on Meta (SideShift runs Meta primarily, for its B2B product). Start around $100/day total across the winners (e.g. ~$33 each for 3 videos) for the first 14 days, adjusted for trial length. Track trial starts and conversions via UTM links. If ROAS is positive (e.g. $200 in, $400 out), step up to $300/day, then $1,000/day; if you get 75 cents per dollar, stop. Start paid only after organic content-market fit and once total marketing budget exceeds ~$10K/month.

Any creator video over 50,000 views becomes a Meta ad candidate. Run a test campaign at ~$50/day per creative; if ROAS > 1 or CTR is very high, scale stepwise (50 -> 100 -> 200 -> 300/day). Returns are not linear (diminishing returns as spend rises), so watch for creative fatigue and keep producing new creatives to get 'more tickets to the lottery'.

Campaigns still optimize for purchase, but the app also sends Meta's standard e-commerce events: fb_mobile_complete_registration on sign-up, fb_mobile_content_view once when the paywall is shown, and fb_mobile_initiated_checkout once when the paywall buy button is tapped. Mapped via Adjust (works with the plain Facebook SDK too). Meta then learns from registration, paywall view and checkout intent before the first purchase arrives; cost per checkout also shows which ads bring quality traffic.

The top ad was an Arcads AI guy walking in a park with the hook 'If you love God but you're trying to work on your health, you need to see this', then explaining FaithFull. Hired a female UGC creator to copy it exactly: same park setting, same walk, same script and delivery. Generally makes multiple variations of any ad that scales.

Runs creative testing campaigns on Android, where events arrive immediately (cost per install, registration, checkout). Winners go into a single long-lived Android scaling campaign that builds purchase history; new winners are tested against the current champion and switched off if they lose. Only ads that hold up over time are moved into a single iOS SKAN campaign, because SKAN data arrives late and testing there would need ~$1,000/day. Started at $50-100/day, scaled to $150/day once purchases came.

In Adjust: fine conversion values ordered install -> registration -> paywall view -> initiated checkout -> subscription revenue tiers by monthly/quarterly/annual (annual highest; threshold set at $43 USD so $59 CAD annual counts). Coarse values for the first postback (0-2 days): started with paywall view as 'medium' while purchases were scarce; at 100+ installs/day switched medium to any purchase and high to annual. Second (3-7 days) and third (8-35 days) postbacks: medium = monthly/quarterly, high = annual.

Turned off all default Meta app events and send a single purchase event worth 25 EUR whenever a user starts a free trial, buys monthly, or takes the 50% offer, with no 7-day wait. Value set below the ~40 EUR blended LTV per converting user. Each week, check that actual trial -> paid matches the projection in the P&L sheet. Advised for small budgets; big spenders can optimize with delayed events.

Dec 25 is dead. Dec 26-28: start testing (e.g. $5-10K/day) to find the best ~10 videos, expecting ~2x better performance on Jan 1-2. Dec 28-30: conversion quality jumps, raise daily spend across videos. If Jan 1 falls on a Thursday/Friday, expect a smaller jump; the peak is the first Sunday (Saturday night into Sunday morning), when you 10x spend if early signals are good. Year-round, Sunday-Tuesday are the best days for health/fitness/productivity ads and the 1st-3rd of each month converts subscriptions better; time launches accordingly.