Performance marketing built around data, strategy, and growth

OPTIMUM rebuilt our Google Ads around contribution, not campaign activity. Shopping finally sat in a report marketing and finance could both use before we increased spend.

Search and Performance Max were competing inside the same budget with no shared conversion model. The account architecture made it possible to brief finance on what each campaign type was for.

The feed and landing pages were treated as merchandising problems, not acquisition problems. Connecting them to Search and Shopping changed how we decided where to raise spend.

We had enough Meta Ads creative. We did not have a system. The weekly testing cadence made it obvious which offers deserved scale — and which ones were only looking strong in Ads Manager.

Prospecting and retargeting were reporting the same conversions. Separating the funnel, then testing one hypothesis at a time, gave us a decision cadence we could defend.

Creative volume was not the constraint. The constraint was knowing which angle to produce next. OPTIMUM turned that into a weekly brief instead of a guess.

Instagram was running as leftover social. Treating Reels and the shoppable grid as their own testing surface made it obvious which products deserved budget.

Stories, Reels, and catalogue ads were in one pile. Once Instagram had its own cadence, merchandising could see which visual stories actually converted.

We were briefing Instagram like a brand channel. OPTIMUM briefed it like acquisition — product, angle, destination — and the weekly review became usable.

Install volume was never the problem. OPTIMUM made us define a valuable user first, then rebuilt TikTok creative testing around that definition instead of CPI.

Creative was burning out faster than we could produce it. The testing cadence gave us a way to retire weak concepts and scale only what produced users who activated.

TikTok looked cheap until we looked at activation. Connecting creative decisions to downstream behaviour changed which concepts we were willing to scale.

Twitter had been a brand proximity budget. Giving it the same qualified-opportunity definition as Search meant we could keep or cut spend with a straight face.

Conversation metrics were easy to celebrate and hard to use. Pipeline-quality reporting put Twitter in the same review as Google Ads.

Traffic was easy to buy. Qualified interest was not. We finally judged Twitter on who entered a real conversation with sales, not on clicks in the ad account.

Pinterest was a mood board with a media invoice. Catalogue feed, intent themes, and shared conversion definitions turned it into a channel merchandising could inspect.

We had pins. We did not have a contribution model. Once Pinterest sat in the same report as Search, it was obvious which product groups deserved investment.

Seasonal collections used to disappear into generic boards. Mapping rooms, uses, and materials to the feed made Pinterest usable for planning, not only for inspiration.

Microsoft Advertising had been an import we ignored. OPTIMUM put Bing on the same conversion definitions as Google Ads, then treated it as incremental Search rather than leftover inventory.

Bing looked cheaper until we aligned negatives, brand protection, and conversions with Google. After that it was a real Search layer, not a discount channel.

The account existed. The weekly review did not. Putting Microsoft Advertising next to Google Ads stopped us from scaling a channel we could not explain.