In this tutorial, we’re walking through split-testing offers effectively with CPV Lab, a powerful ad-tracking platform for performance marketers.
We’re focusing on why picking the right variables, like offers and affiliate networks, can make or break your media buying campaigns. With the right click tracker and a clear testing plan, you avoid guesswork and scale with confidence.
There are a lot of variables to test: landers, offers, angles, copy, or networks. But without proper tracking and attribution, you might waste your ad spend without learning what’s really working.
In this guide, we’ll focus on two external variables many affiliates overlook:
- The affiliate network
- The offer

These two had the biggest impact on a real campaign, tracked step-by-step with CPV Lab or CPV One(cloud hosted tracker).
Tutorial:
Now let’s get into how I built a profitable campaign using CPV Lab as my conversion tracker, focusing on testing affiliate networks and offer variables. As we go through this tutorial you I will begin to see the importance these two metrics had on the overall campaign.
Step 1: Create a CPV Lab tracking campaign
- Created a new campaign in CPV Lab or CPV One
- Selected the “Direct Link & Landing Page” funnel
- Added macros and tracking tokens for proper click tracking
- Linked my landing page
- Added the offer URL
- Took the tracking link (Campaign URL) and placed it in my traffic source (PropellerAds in this case)
This setup included both pixel and postback tracking.
First, I create a CPV Lab Pro tracking campaign.

Here, I added the general information for the campaign.

And, I added the macros (tokens) from the traffic source.

Next, the landing page was added to the campaign.

Landing Page:

From here I added the offer in CPV Lab Pro, and copied my campaign URL to place it with the traffic source.

Step 2: Create Propeller Ads Campaign
- Created a campaign in PropellerAds using Direct Click traffic
- Set the CPA goal pricing model (important for automated optimization)
- Targeted Android users using Google Chrome, English language, Safari. com ISP
- Started the campaign
I created a Propeller Ads campaign. I logged in and went to their dashboard and clicked the “Create Campaign” button. From here I added a campaign name and selected “Direct Click” as the traffic type.

I added a target URL and used Propeller Ad’s CPA goal’s ad type.

Then, selected the Browser to “Google Chrome” and the Browser Language to “English“

For the Platform I selected “Mobile” and the OS to “Android“. Also I selected “Safaricom” as the Mobile ISP to match the offer.


From here I went and started the campaign by clicking the “Start Campaign” button.

Three other campaigns were created, focused on testing different offers, and CPA Networks. The networks I tested were Golden Goose and Traffic Company. Out of the 4 campaigns I created only 1 campaign began to convert.

Step 3: Gather Data
With the CPV Lab dashboard, I monitored metrics like:
- Clicks
- Landing page CTR
- Offer conversion rate
- ROI
- Conversions
Since I was using Propeller CPA Goal and CPV Lab’s real-time stats, I was able to keep the campaign running without touching anything, just analyzing.
Because the campaign was already profitable I decided to keep running traffic.

Step 4: Optimize
Normally I optimize after spending 20–40x the payout, but in this case, Propeller’s CPA model did part of the work. I still used CPV Lab’s stats to monitor zones and spot any drops or inactive periods.
The offer was inactive for a while as I ran traffic to it and I lost a bit of profit, but that’s where having a good conversion tracker helped identify the issue fast.

Step 5: Results
The campaign reached profitability and maintained it without needing to manually adjust much. Thanks to:
- Accurate tracking
- Proper variable testing
- Clean landing page-to-offer flow
To scale I usually will create a separate campaign with the profitable zones, but I decided to just let this campaign continue to run.

Key Principle:
Tracking the right variables makes everything easier.
If I had tested only landing pages and ignored the offer or affiliate network (by testing only one offer), I might have spent $300+ before seeing a single conversion.
It happens.
Some networks don’t fire postbacks correctly. Some have issues with flagged links or redirect chains. By using CPV Lab’s click tracker and focusing on external variables like offer and network, I could identify what worked without wasting time or money.
By focusing on the offer, and affiliate network as external variables it helped be able to find a campaign that converted well enough to become profitable without heavy optimization.
Conclusion:
Hopefully this case study showed how easy it is to run smarter A/B tests using a conversion tracker like CPV Lab Pro.
➡️ If you’re running affiliate campaigns, testing offers and networks should be part of your checklist.
Hopefully this case study helped you, and thank you for viewing this post! If you have any questions or comments please let me know.
Final Thoughts
If you’re serious about affiliate marketing, stop guessing and start testing. A solid conversion tracker like CPV Lab doesn’t just show you what happened, it helps you understand why things are working (or not). That clarity is what separates profitable campaigns from money pits.
From click tracking to A/B testing and postback tracking, CPV Lab gives you the control and precision needed for today’s performance marketing environment. Whether you’re testing affiliate networks, rotating offers, or just trying to improve your ROI, tracking and attribution should be non-negotiable.
Smart media buying starts with smart tracking.
Related Topics You’ll Want to Explore
These might help you dig deeper into the strategy:
- How ad tracking impacts offer selection
- Using a click tracker to test affiliate networks
- Why attribution matters in performance campaigns
- A/B testing for landing pages and offers
- Automating your postback tracking setup
Want to scale smarter with your next campaign?
Try CPV Lab — the ad tracker built for media buyers.
✅ Self-hosted or cloud
✅ Conversion and revenue tracking
✅ Multivariate testing built-in
✅ Detailed click and traffic source stats


Guest Author: Patrick Hill
Patrick is an affiliate marketer with 8+ years marketing experience. He was certified at Meclabs Research Institute in 2019 for value proposition development and a Photoshop designer. He has experience working as a technical support manager at a CPA network, and loves to make graphic design and programming easy for average people.

