Domex Group - five traffic teams competed, one was kept, at $30 per qualified lead
A developer in Georgia advertising for the first time hired five traffic teams at once. After the first month the client kept only us: a qualified lead at $30 across both Russian and English audiences, against a $200,000 average property price.
The client arrived with no traffic at all - this was a first advertising launch. The sales team was working fine: nothing was leaking in handling, there was simply no flow of inquiries. To de-risk the first launch, the client hired five traffic teams in parallel and compared them head to head, on the same properties over the same budget period.
We launched Meta Ads across two language groups, Russian and English, with a separate offer for each: instalment plans for the Russian-speaking audience, transaction security and legal process for the English-speaking one. We used the client's own photography alongside our motion creatives, testing several angles. Qualified leads were passed from the CRM into the pixel so the algorithms would learn on qualification rather than volume.
We will review your situation on numbers: current campaigns, cost-per-lead forecast, launch plan.
The setup
Domex Group sells property in Georgia at a $200,000 average price. The market is crowded: dozens of projects compete for the same Russian-speaking and international buyers. Running five teams in parallel made this an honest measurement - identical conditions, identical product, different agencies, and a client decision made on the actual numbers.
How we worked
An offer per language group. We analyzed what motivates each audience and split the offers accordingly: instalment plans for Russian speakers, transaction security and legal process for English speakers.
Creatives: client footage plus motion. We asked the client for live footage of the properties and supplemented it with our own motion creatives, testing several angles and scaling the ones that held.
Qualified leads from CRM into the pixel. Meta’s algorithms optimize toward buyers who can actually pay, which is what holds the qualified lead at $30.
From launch to the client’s decision
In May 2026 we started alongside four other teams: Russian and English campaigns with different offers, and qualification data flowing from the CRM into the pixel. By the end of the month a qualified lead cost $30 on both groups.
In June the client ended the other engagements and kept us. We are now scaling the combinations that worked, with several buyers already at the contract stage.
What the measurement showed
- $30 per qualified lead on both language groups
- One of five parallel traffic teams retained
- Buyers at the contract signing stage
- $200,000 average property price
Why it worked
Offers matched to each audience’s motivation. Instalments for Russian speakers, transaction safety for English speakers - each group saw the argument that mattered to them, and both produced qualified leads at $30.
Optimizing on qualification from month one. Qualified leads flowed from the CRM into the pixel from the very start, so the algorithm was hunting buyers rather than browsers from day one.
A head-to-head comparison of five agencies on the same properties was won by the system: offers matched to the audience, algorithms trained on qualification, and numbers visible in the CRM.
Facing something similar?
We will review your situation, show the closest cases from your vertical and give you a cost-per-lead forecast with a launch plan. Free, no strings attached.
- Ad account audit within 24 hours
- Unit economics modeled against your offer
- Cases from your own vertical