How I Test Offers and Scale Up📈

When a campaign stops delivering results, I always have a few backup options ready. I take 2-3 offers, select 10-15 general creatives, and launch a test.

I run broad targeting without interests to identify where my target leads are. I analyze the breakdown and optimize accordingly. The budget is set at a minimum of 3x CPA to collect objective data.

At the first stage, I monitor CPC, CPM, and CTR. The test runs non-stop for 48 hours, after which I turn off underperforming creatives and duplicate the successful ones.

Optimizing Creatives and Testing Strategies

After identifying the best-performing creatives, I start testing different strategies:

⭐ 1-3-1, 1-2-2, 1-1-1 – proven setups that deliver results.
⭐ I order additional creatives based on the most effective ones.
⭐ I test the landing page if there are plenty of leads, but the conversion rate is weak.

If leads are coming in but the quality is low, I add a pre-lander to filter out irrelevant traffic.

Sometimes, traffic flows in, but conversions in the deposit stage are poor. Here’s how I fix it:

1️⃣ Add a pre-lander to warm up the audience.
2️⃣ Test interest-based targeting if broad targeting underperforms.
3️⃣ Use exclusion targeting to refine audience segments.
4️⃣ Adjust creatives if engagement metrics decline.

Scaling Strategies

Once the conversion rate stabilizes, I move on to scaling:

➖ Duplicate successful campaigns (horizontal scaling).
➖ Expand targeting, adding related audience segments.
➖ Use retargeting to re-engage warm leads.

My testing framework is always the same, but final adjustments depend on the specific situation. Understanding the GEO and audience is key to consistent profits. The more data I collect during testing, the easier it is to scale.

Chat Finikoff ☕️
Channel Finikoff ☕️