Detects fake followers and engagement fraud on influencer campaigns, reconciles spend against actual sales via UTM and promo-code data; sold to DTC brands and agencies managing influencer/affiliate budgets. · influencer marketing verification
DEAD SLOW · CAUTIOUS
5.8 ShipScore / 10
Scale and automation strong; control weak — social platform data access gates everything.
Condition: Secure durable, compliant access to follower/engagement data and land three paying agencies reconciling real campaign spend within 90 days.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
4
C4 — follower-graph data hostage to Meta/TikTok API and scraping policy
Entry barriers
5
E5 — no tracked incumbent in corpus; fraud-model data pipeline is buildable moat
Need
6
N6 — established paid influencer-analytics category, but zero verified MRR in evidence
Time-freedom
7
T7 — productized SaaS, though agency onboarding and dispute support stay manual
Scale
7
S7 — global DTC brands and agencies, but buyer pool narrower than horizontal SaaS
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 $299/mo (assumed category price), you need 279 subscribers for a $1M/yr pace.
No tracked rivals with verified revenue to benchmark against.
Part II — The Evidence the receipts, good and bad
03 — Rival scan
No similar products found in the radar corpus — either genuinely novel, or too small to track.
Trackier — Already pairs affiliate attribution with fraud detection — covers half your pitch natively.
Affonso — Affiliate attribution tooling that DTC brands already buy; can bolt on fraud scoring.
Adsafee — Ad fraud/bot detection engine adjacent enough to extend into influencer channels.
04 — Demand evidence
No radar-tracked products, no funded companies, and zero Reddit signals for these keywords — demand unproven in this corpus.
X chatter shows repeated launches in adjacent fraud/reconciliation lanes (Trackier, Affonso, Adsafee, Skimback, Reclaiq) — builders see a budget-waste problem.
Complaints are thin and indirect: ad fraud/bots draining budgets and multi-system reconciliation pain, not influencer-specific.
Traction on recent launches (Skimback, Reclaiq, Velocity) is low-engagement — sentiment, not verified spend.
05 — Risks
Platform API/scraping restrictions can gut the fake-follower detection core overnight.
Incumbent influencer-audit tools (well-known in the category) already sell follower scoring to the same buyers.
Attribution via UTM/promo codes is noisy; brands may dispute your numbers and churn.
Agencies are the buyer most likely to resist a tool that exposes their own campaign waste.
06 — Kill switches — what kills this with one decision
Meta/Instagram and TikTok data access policy — API lockdown or anti-scraping enforcement removes the follower-authenticity signal entirely.
Shopify/e-commerce attribution app ecosystem — Native promo-code and UTM reconciliation shipped free collapses your reconciliation half.
Affiliate networks bundling fraud scoring — Trackier-style platforms include the audit free, removing the standalone purchase reason.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot tell whether DTC brands buy fraud audits as a standalone line item or expect it bundled.
No visibility into pricing or retention of existing influencer-audit incumbents outside this corpus.
Unknown whether current platform data access is legally and technically sustainable at scale.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-22.
08 — The wedge & the next step
Sell the reconciliation, not the audit: prove paid influencer spend against actual promo-code revenue and hand brands a refund-claim report agencies can't argue with.
Cheapest next step: Manually audit three DTC brands' last influencer campaigns from their own UTM/promo exports and charge $500 per report to test willingness-to-pay.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.8 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
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