Shopify knows what sells. Meta knows who buys. They don't talk pre-spend. Omni Target bridges that gap — turning real store data into a ready-to-launch Meta Ads brief in three minutes.
This isn't a founder skill problem. It's an infrastructure problem. Shopify holds a store's full sales history. Meta holds the world's most powerful ad targeting system. But there is no intelligence layer connecting them before a single dollar is spent.
The result: brands run ads on the wrong products, to the wrong audiences, at the wrong budgets — and campaigns never accumulate enough data to work.
Meta's algorithm requires approximately 50 optimization events per week per ad set to exit its learning phase. Campaigns stuck in learning show unstable, higher costs. Wrong product selection and budget sizing are the primary reasons brands never exit — and no tool addresses this before spend begins.
Shopify ranks products by total revenue — driven primarily by repeat customers who already trust the brand. But Meta cold traffic requires a different product: one that converts strangers with no prior brand relationship.
Omni Target calculates the First-Time Buyer Ratio for every product — dynamically, relative to the store's own baseline. No hardcoded thresholds. The store's data defines what normal looks like. We surface what's exceptional within that specific store's context.
Connect Shopify via OAuth. Omni Target reads real store data and generates a complete, ready-to-launch Meta Ads brief in three minutes — with the intelligence of a senior media buyer who has studied your store for months.
Omni Target acts as a Data-Driven Creative Director. Every format prescription, every hook, every budget recommendation is derived from quantitative store behavior — not templates, not gut feel, not generic advice.
Most stores don't have reviews. So we don't rely on them. We translate guaranteed store metrics — repeat purchase rate, inventory velocity, first-time buyer ratio — into emotional hooks that resonate with cold audiences.
First-time buyer ratio significantly above store baseline, price below AOV → cold audiences need low-commitment, authentic creative. No brand trust required.
Strong repeat signals, price at or above AOV → warm audiences need detail and credibility. Trust must be built before purchase.
Fashion is the single largest category on Shopify. Every one of these brands is actively spending on Meta. None have an intelligence layer between their store data and their ad account before spend is committed.
10,000 paying fashion brands averaging 4 campaign credits/month at $6.60/credit — representing under 2% of the addressable store base.
We didn't wait for funding to start. Live MVP, real output, first brief generated from a live pilot brand's actual store data.
Pay only for the briefs you need. No monthly lock-ins. No wasted spend.
Triple Whale, Northbeam, and similar tools are excellent products — they tell you where your money went after you spent it. That's post-spend attribution and it's genuinely valuable at scale. But it requires you to have already committed budget to generate the data. Omni Target operates in a different moment entirely: before the first dollar is spent.
Measures where money went after campaigns run. Requires spend data to function. Answers: "What worked?" Tools: Triple Whale, Northbeam, Rockerbox.
Prescribes what to run before campaigns start. Requires only store data. Answers: "What should I run?" Works from day one of advertising.
We didn't research this market. We ran it.
5+ years running end-to-end e-commerce operations for luxury fashion brands. Currently manages the full digital infrastructure for K|KASA Lagos — Shopify, Klaviyo, Meta Ads, inventory, and cross-border fulfillment. Built Omni Target's full MVP as a solo non-technical founder using AI-assisted development. Knows the problem from the inside because he has lived it every day.
Founding Engineer with deep experience architecting and scaling technology from zero to production. Specialises in modern frontend architecture with React and Next.js, full-stack systems design with Node.js and GraphQL, and production-grade infrastructure. Brings investor relations experience and a systems thinker's approach to building the intelligence engine.
The product is built. The website is live. The Shopify App Store has approved Omni Target. A real brief has been generated from a live pilot store. This raise activates the founding team full-time and closes the gap between a working MVP and our first 100 paying customers.
Shopify and Meta don't talk pre-spend. Fashion brands are paying the price every day. OmniTarget is the bridge — and it's already working.