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META ADS MANAGEMENT
American DTC brands have more creative formats, more targeting options, and more optimization tools than any other market — and still average sub-3× ROAS because the purchase signal feeding the algorithm is incomplete. We start there.
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/ This is for you if
The Shopify DTC brand at $1M–$10M ARR trying to scale Meta profitably
The SaaS company running trial-acquisition campaigns
The brand that has given up on Meta and gone all-in on Google
/ What's broken
The Meta Conversions API is how you recover purchase data lost after Apple's App Tracking Transparency changes. Most US brands either haven't implemented it, implemented it poorly, or have event deduplication errors where the same purchase fires via both browser pixel and CAPI — inflating conversion counts and corrupting the signal. Meta's algorithm is making decisions based on data that is either incomplete or double-counted.
UGC is the dominant performing creative format on Meta for US DTC brands in 2024–2025. The problem is that most brands are producing it without a systematic framework — testing 3 UGC creators simultaneously across 4 messaging angles means 12 ad sets running simultaneously, none of them with enough budget to generate statistically meaningful data before being killed. UGC works; underfunded, over-split testing does not.
SaaS brands on Meta typically optimise for trial starts and stop there. The trial-to-paid window — typically 7–30 days — is the highest-leverage retargeting opportunity in a SaaS account. Users who started a trial and did not convert to paid are an audience with demonstrated intent and known trial end date. Running a retargeting sequence with onboarding benefit messaging, social proof, and a specific conversion offer during this window consistently improves trial-to-paid rates.
US brands default to Meta's standard 7-day click, 1-day view attribution window without auditing whether it matches their actual customer journey. For high-consideration products with longer purchase cycles, this window overcounts Meta's contribution. For impulse purchase products, it may be adequate. Running campaigns without understanding which purchases Meta actually drove — versus which it claimed — leads to incorrect budget decisions.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
We audit your Meta Pixel and Conversions API implementation for deduplication errors, purchase event accuracy, and order value passing. For Shopify brands, we verify the native integration is passing correct USD values. For SaaS brands, we configure custom conversion events for trial starts, onboarding completions, and paid subscription activations — giving Meta a full signal hierarchy from which to build optimisation models.
We build top-of-funnel campaigns using Advantage+ audiences, value-based lookalike audiences seeded from your highest-LTV customers, and interest and behavioural stacks tested against your category. For SaaS brands, prospecting campaigns are built around the trial-start objective with copy angles tested by job title, company size, and pain point.
We run 7, 14, and 30-day retargeting windows with dedicated creative for each stage. For e-commerce, dynamic product ads pull from your Shopify catalogue. For SaaS, the 7–30 day trial window is treated as a dedicated retargeting sequence with onboarding benefit messaging, case study creative, and a conversion offer timed to trial end. Cart abandonment and checkout abandonment get separate sequences.
Post-purchase DTC campaigns target existing customers with cross-sell sequences based on purchase category, replenishment reminders for consumables, and win-back campaigns for lapsed buyers at 60, 90, and 180-day intervals. For SaaS, retention campaigns target paid customers approaching renewal or usage milestones, reducing churn through product education and upgrade offers.
Every account runs on a 6-week refresh cycle with a structured UGC testing framework. We brief UGC creators by specific messaging angle — not by visual style — and test one variable at a time so performance data is interpretable. Static images, short-form video, Reels, and UGC formats are each tested against their respective funnel stage. Creative performance is tracked by format and angle, and the winners inform the next cycle brief.
/ What changes
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyThe Meta Conversions API (CAPI) is the primary tool for recovering purchase data lost after Apple's App Tracking Transparency changes. We implement CAPI with event deduplication configured correctly so browser pixel and server-side events do not double-count the same conversion. Full attribution recovery is not possible — some iOS users remain completely untrackable — but a correctly implemented CAPI setup recovers the maximum available signal. Most US brands have CAPI installed but deduplicated incorrectly, which corrupts the data rather than improving it.
UGC remains one of the highest-performing creative formats on Meta for US DTC brands — particularly short-form video and Reels formats that mirror organic content. The key variable is the testing structure: UGC works when each creator is briefed on a specific messaging angle and tested with sufficient budget to generate meaningful data. It does not work when multiple creators, multiple angles, and multiple products are tested simultaneously in underfunded ad sets. We build UGC testing frameworks around interpretable data, not creative volume.
Yes. SaaS campaign structures differ substantially from e-commerce — the primary conversion events are trial starts and trial-to-paid activations rather than purchases, the retargeting logic follows the trial window rather than cart abandonment, and retention campaigns target usage milestones and renewal dates rather than replenishment cycles. We have built trial-acquisition and trial-to-paid sequences for SaaS accounts and configure Meta's conversion events to reflect the actual business metrics that matter.
We test one variable at a time with sufficient budget per ad set to reach statistical significance. A standard test in our framework runs three creative angles against one audience, with each ad set receiving enough daily budget to accumulate 15–20 conversion events within a 7-day window. This is the minimum sample size for the result to be directionally reliable. Testing more variables simultaneously at lower budgets produces data that cannot be acted on — it only appears to be testing.
US DTC brands with correctly configured pixels and full-funnel campaign structures targeting average order values of $50–$150 typically achieve 3–5× ROAS after the algorithm has calibrated — usually by the end of Month 1. High-AOV brands ($200+) can achieve higher ROAS but with lower purchase volume. SaaS accounts are measured on cost-per-trial-start and trial-to-paid conversion rate rather than ROAS. Our average across all managed accounts is 3.8×, but the right target for your account depends on your margin structure, AOV, and LTV — we set this in the audit.
Start here
We audit your Conversions API implementation, purchase event accuracy, attribution window configuration, and campaign structure — then deliver a written report with specific findings. If your CAPI has a deduplication error, we show you exactly what it is costing you. If your attribution windows are wrong for your product category, we explain the impact on your reported ROAS. If your UGC testing framework is producing uninterpretable data, we show you why.
5-day turnaround · Pixel audit + funnel review · No retainer requiredIgnited Nepal
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