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Case Studies

LOWER COST PER LEAD WITH PROPER TRACKING + RETARGETING

Lower Cost Per Lead doesn’t happen because you “boosted harder.” It happens when you stop guessing and build a system: structure + tracking + retargeting + weekly optimization.
Service

Paid Ads

Client

Solomon

Date

March, 2026

THE PROBLEM

They were running ads, but results were unstable.

Some days looked good. Some days were terrible. And the bigger issue was this: nobody could confidently say what was working, why it was working, or what to scale. They had spend, but not control.

What was BROKEN:

  • No clear campaign structure (testing and scaling were mixed together)
  • Tracking was unreliable (events weren’t consistent, data couldn’t be trusted)
  • No retargeting system (warm visitors were lost)
  • Creatives were posted randomly (no plan, no learning loop)
  • Lead quality was inconsistent (too many low-intent enquiries)

What NEULEAD CHANGED

We didn’t “increase spend.” We rebuilt the engine for Lower Cost Per Lead.

Clean campaign structure (so the algorithm learns properly)
We separated:

  • testing (new creatives + new audiences)
  • scaling (what already works)
  • retargeting (warm traffic recovery)

This instantly made results easier to read and easier to improve.

Tracking fixed and verified (so decisions are based on data)
We verified:

  • GA4 setup and conversion events
  • pixel/events setup (or conversion actions where applicable)
  • key actions: form submit, WhatsApp click, call click, purchase/lead

No more “vibes reporting.” Just measurable outcomes.

Retargeting added (so warm traffic doesn’t die)
We set up retargeting to recover:

  • page visitors who didn’t enquire
  • people who engaged but didn’t submit
  • video viewers / engaged users (where relevant)

Retargeting is one of the fastest ways to push Lower Cost Per Lead down because you’re not always paying for cold attention.

Creative direction (so ads don’t rely on luck)
We created a simple creative testing plan:

  • clear angles (pain-based, outcome-based, proof-based)
  • simple hooks for the first 2 seconds
  • CTA clarity (what to do next)

This improved both CPL and lead quality.

Weekly optimization (so results don’t stay flat)
Every week we made changes based on numbers:

  • budget shifts (scale winners, cut losers)
  • audience cleanup
  • placement adjustments
  • creative iteration
  • form/lead question improvements (to reduce junk leads)

That’s how Lower Cost Per Lead becomes stable instead of lucky.

RESULT

Within 2 weeks:

  • Lower Cost Per Lead: ₦7600 → ₦1250
  • Lead quality improved (more serious enquiries, fewer time-wasters)
  • Results became more predictable and easier to scale
  • Retargeting recovered warm leads that would have been lost

WHY THIS WORKED

Lower Cost Per Lead wasn’t the goal. A better system was the goal.

When your structure is clean, tracking is correct, and retargeting is active, ads stop being gambling. You can see what’s working. You can scale what’s working. And you can fix what’s leaking.

No vanity metrics • Tracking-first • Mobile-first • Built for revenue