Lead Generation System for a Livestock Health Diagnostic Product

From a Niche Agricultural Audience to a Repeatable Pipeline of Qualified Leads

The Challenge

The client had a strong product and a clear value proposition, but no system for reaching the right buyers at scale.
The product was new to most dairy operators, which meant the ads could not assume any prior awareness. Every variant had to introduce the value proposition, namely reduced antibiotic use and lower vet costs, and earn the click in seconds.
The audience was small and specific. Dairy farmers and herd managers across North America are a narrow target. A generic ad strategy would burn budget on the wrong people. The targeting had to be tight enough to find serious buyers without collapsing the audience size below the point where Meta could deliver.
Lead quality mattered more than lead volume. A cheap lead from someone outside the dairy industry was worth nothing to the client. The campaign needed to attract actual farmers and herd managers with real purchasing authority, not curious clicks.

The Solution

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.

The Process

We tested creative aggressively, tracked precisely, and let the data pick the winners

Creative Testing at Scale

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.

Cost Per Lead Optimization

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.

Audience Layering

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.

Features We Built

The test campaign generated qualified inquiries from dairy operators across North America

The Results

In the first ad spend cycle, the campaign produced 42 qualified inquiries from dairy operators across North America, at an average cost per lead of roughly $97.82 and a best case cost per lead of $63.11. With a customer lifetime value of $5,000 to $7,000 at minimum, the unit economics hold at a wide range of close rates. Even a conservative 5 to 10 percent close on these leads would represent $10,000 to $30,000 in customer lifetime value from a single test cycle, with a campaign infrastructure that compounds as more data feeds back into the audience model.

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