
We launched five creative variants across two formats. Three static image ads led with direct value proposition headlines focused on antibiotic reduction and savings on vet visits. Two video ads featured real cows and on-farm footage to build credibility with operators who can spot a stock-image dairy from a mile away. Each variant tested a different angle of the product's value, so the campaign could quickly identify which message actually resonated.
The audience was layered. We started with interest and behaviour signals tied to dairy farming, livestock equipment, and rural operations, then built lookalike audiences off the early lead data to compound the targeting over time. Cold audiences were routed to a dedicated landing page with a focused lead form, not a generic homepage, so the path from ad click to inquiry stayed short.
We tested creative aggressively, tracked precisely, and let the data pick the winners
We launched the campaign with three static image ads and two video ads, each pitching a different angle of the product's value, from antibiotic reduction to savings on vet visits. Splitting the budget across multiple creatives from day one let us identify which messages and formats actually resonated, rather than anchoring on one big idea and hoping it worked.
Once results started coming in, we tracked cost per lead on every variant. The strongest performing ad delivered leads at $63.11. The campaign as a whole averaged a cost per lead well below the threshold needed to make the math work, given the client's customer lifetime value of $5,000 to $7,000.
We started with the dairy industry interests and behaviours Meta already had data on, including feed brands, livestock equipment manufacturers, and rural occupations. As real leads came in, we built lookalike audiences off those buyers, so the targeting sharpened with every cycle instead of decaying. The audience model learned alongside the campaign.
The test campaign generated qualified inquiries from dairy operators across North America
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