Case Study: How IP2 Location Targeting Helped Turn Around a Low-Converting Campaign on OnClickA

[btaliat]

Hey forum fam,


I’ve been running campaigns on and off with OnClickA for the past year, and like many of you, I’ve hit that frustrating wall: decent impressions, decent clicks, but very low conversions.


After tweaking creatives, A/B testing landing pages, and playing with budgets, I finally decided to dig into something that I had been overlooking—IP2 Location Targeting. Spoiler alert: this one tweak significantly improved my conversion rate and cut my wasted ad spend.


Here’s a full breakdown of how it worked and why I think more of us should take this targeting strategy seriously.

The Problem​

I had a campaign running for a digital product aimed at professionals in developed countries. It was a pretty solid offer, and CTRs were acceptable, but conversions were way off the mark.


I did the usual checks:

• Creative fatigue? Nope.
• Device mismatch? Tested all device targeting.
• Funnel errors? Clean.
• Landing page bounce rate? Moderate but not alarming.

Still, something wasn’t adding up.


Then it hit me—maybe I was attracting the wrong segment of users even within the right country.

The IP2 Targeting Angle​

After a little digging through the OnClickA dashboard, I found that IP2 location targeting wasn’t just about geography. You can go deeper—like targeting based on the user’s connection type or organizational category. That includes:

• Commercial (businesses, corporations)
• Organization (government and NGOs)
• Education (universities and institutions)
• Fixed Line ISPs
• Mobile ISPs
• Military

Suddenly, I realized my offer (a B2B SaaS tool) might not resonate equally with people using mobile data from home vs. employees browsing from a corporate office.


So I decided to test this theory.

How I Set It Up​

I cloned my campaign and implemented the following structure:

1. Campaign A: IP2 targeting set to Commercial and Fixed Line ISP
2. Campaign B: IP2 targeting set to Mobile ISP and Education
3. Campaign C: No IP2 targeting (control)

All other parameters—creatives, budget, geo, devices—remained the same. I excluded VPN and proxy users across the board for accuracy.

Results After 5 Days​

The performance gap was immediate and eye-opening:

• Campaign A (Commercial/Fixed Line ISP):
  • CTR: 2.1%
  • CVR: 4.8%
  • ROI: +36%
• Campaign B (Mobile ISP/Education):
  • CTR: 2.4%
  • CVR: 1.3%
  • ROI: -14%
• Campaign C (No targeting):
  • CTR: 1.9%
  • CVR: 2.2%
  • ROI: +2%

By isolating traffic coming from commercial IP ranges and fixed-line ISPs, I was clearly tapping into a more conversion-friendly audience for my offer. It aligned with my buyer persona—office workers and small business owners browsing on workplace networks.

Key Takeaways​

1. Audience quality matters more than raw volume. High CTR means little if it doesn’t convert.
2. IP2 Location Targeting is incredibly underrated—especially if you know your buyer persona well.
3. Segmenting campaigns based on IP2 profiles helps you test more efficiently and reduces guesswork.
4. VPN exclusion is a must—many of my low-quality clicks were tied to proxies and masked IPs.

Final Thoughts​

This campaign taught me a lot about how nuanced traffic targeting can be. IP2 Location Targeting is not just about serving ads to “the right country”—it’s about serving ads to the right type of user, in the right environment, on the right connection.


If you’re stuck in the same rut I was, with campaigns that look healthy on the surface but aren’t converting, this might be the edge you’re looking for.


Would love to hear if anyone else has tested IP-based targeting this way—or if you have other targeting tricks up your sleeve. Let’s level up together!

Let the optimization games begin.