ClipYield Analytics

Ties AI-generated video ad variants to platform conversion and spend data, helping performance marketers optimize ROAS by identifying which prompt/avatar/hook combinations drive results. · video ad analytics

DEAD SLOW · CAUTIOUS

6.2 ShipScore / 10

Strongest: time/need on proven attribution spend; weakest: entry, ad-API dependency.

Condition: Only if you own the AI-generation step (prompt/avatar/hook metadata) so variant-level attribution is data no attribution incumbent can reconstruct.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

C5 — conversion/spend data flows through Meta/TikTok/Google ad APIs.

Entry barriers

E4 — Cometly $203k stable, Triple Whale/Q9ive crowd it; no moat.

Need

N7 — Cometly's verified $203k MRR proves attribution spend; creative-variant wedge differentiates.

Time-freedom

T8 — API-driven dashboard SaaS, no per-client manual reporting needed.

Scale

S7 — any global performance marketer running paid video; no local limit.

What the five commandments measure

C — Control	Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry	How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need	Is demand proven with money rather than vibes?
T — Time	Can income detach from your hours, or did you buy yourself a job?
S — Scale	How far does it reach without linear cost?

Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.

02 — The pace test — $1M/yr

At $149/mo (assumed category price), you need 560 subscribers for a $1M/yr pace.

Nearest tracked rivals on that curve:

Cometly

$203k 100%

→ moat stableX · active

Dailyglowup: Maximize Looks

$13k 16%

→ moat stable

A rival's moat trend is its verified-revenue trajectory, not its rating — a 4.9★ incumbent with eroding revenue is a different opponent than a widening one. How it's computed →

Part II — The Evidence the receipts, good and bad

03 — Rival scan — corpus tracks 2 similar

Cometly	verified MRR $203k · CENTS 8.4 · revenue trend: stable · X-chatter: some (trustmrr)	→ moat stable X · active
Dailyglowup: Maximize Looks	verified MRR $13k · CENTS 5.8 · revenue trend: stable (trustmrr)	→ moat stable

Cometly — $203k verified MRR, stable, CENTS 8.4 — funded attribution incumbent already owns the spend.
Triple Whale — Bundles attribution plus creative analytics and ROAS/CAC; a creative-variant tab is a sprint for them.
Q9ive / AnyTrack — True-ROAS-vs-platform and conversion-sync players already solving the hard pipe you'd rebuild.

04 — Demand evidence

Cometly verified at $203k MRR with a stable trend — real recurring spend in attribution.
X chatter shows multiple live entrants (Triple Whale, SHIFT AI, Q9ive, AnyTrack) chasing creative+ROAS attribution.
Traction chatter ties AI video pipelines to mass creative testing claims — the exact buyer pain.
Reddit signal: none found; no independent complaint volume for the variant-level angle.

05 — Risks

Attribution accuracy is contested — X complaints about view-through inflating ROAS undermines trust in any new entrant.
Prompt/avatar/hook metadata only exists if you generate the video; otherwise you're guessing from filenames.
Incumbents with the conversion pipe can bolt on creative tagging faster than you can build attribution.
Small-N corpus (2 tracked) means category read leans on general knowledge, not this evidence.

06 — Kill switches — what kills this with one decision

Meta/TikTok/Google Ads API terms or rate limits — Losing spend/conversion read access guts the entire dataset overnight.
Platform-side privacy/signal loss (ATT-style changes) — Conversion granularity collapses, making variant-level ROAS statistically meaningless.
Triple Whale or Cometly shipping creative-variant attribution — Your only wedge becomes a free feature inside their existing contract.

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell whether advertisers will pay separately versus demand this inside existing attribution tools.
No data on statistical volume needed per variant to make ROAS claims credible.
Cannot verify whether Cometly's $203k already includes creative-level breakdowns.

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-26.

08 — The wedge & the next step

Own generation and measurement together: tag every AI variant at creation so prompt/avatar/hook maps to spend — metadata pure attribution tools cannot reconstruct.

Cheapest next step: Pull 5 DTC media buyers running AI UGC, ask to see how they currently label variants in Meta Ads Manager; offer a paid pilot on one account this week.

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 6.2 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

One evidence-backed gap a day, free

Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.

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Monitor this idea

Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.