Tracking & optimisation

In search arbitrage you pay for a click on one platform and get paid for a different click on another, hours later, by a different company. This track shows how trackers, click IDs and postbacks stitch those two halves together, how revenue is sent back to Meta, TikTok and Taboola so their bidding learns, and how to read keyword reports, write automation rules and run honest tests.

advanced · 5 lessons · 44 minutes

1. 01

   Trackers, click IDs and postbacks: joining cost to revenue

   What a tracker does in search arbitrage, how a click ID travels out and revenue travels back, and what Voluum, RedTrack, ClickFlare and TheOptimizer each do.

   9 min
2. 02

   Conversion APIs and value signals: teaching the ad platform what a click earned

   How feed revenue is sent back to Meta, TikTok and Taboola through conversion APIs, why value beats a simple count, and the timing limits to respect.

   9 min
3. 03

   Keyword-level reporting: finding out which searches pay

   What feed reports contain, how to read revenue by keyword and channel, why numbers arrive late and change, and how to avoid acting on noise.

   8 min
4. 04

   Automation rules and bid strategies: letting machines mind the shop

   How if-this-then-that rules pause losers and protect budgets, how platform bid strategies differ, and why delayed revenue makes naive rules dangerous.

   9 min
5. 05

   Testing landers and keywords: finding what works without fooling yourself

   How to run fair A/B tests on articles, layouts and search terms, which metric to judge them on, and which tests policy does not allow.

   9 min

Test yourself: Tracking & optimisation quiz