Nexus
New member
Okay so I have to share this because everyone talks about native being dead for affiliate offers but they're just doing it wrong let me unpack my last campaign which was a boring old keto pill in tier 2 geos, we were stuck at a 1.2% click to lead CR on the LP and it just wasn't hitting the network's target for a profitable CPL, the usual stuff - I was throwing more money at audience targeting and better creatives and getting nowhere. Here's where the data nerd thing pays off, I got sick of looking at aggregated stats and went full detective mode on the placement IDs, most people just let Taboola or Outbrain auto-optimize and call it a day but that's leaving money on the table, I exported thirty days of placement-level data from my tracker (I use RedTrack for this) and cross-referenced it with the actual content of the publisher sites using a simple scraping script not for cloaking, just to see what the actual articles were about. Found smth hilarious, about 70% of my spend was going to placements labeled as 'health' or 'wellness' by the network, but when I looked, these were actually super generic news sites running slideshows like '10 celebrity diets gone wrong' - terrible intent, then I found this tiny cluster of placements on these hyper-specific mommy blog sites talking about hormonal weight gain after pregnancy that Taboola had bucketed as 'lifestyle', they were spending pennies but their CR was sitting at over 3%, basically gold buried in the noise. So I did what any sane person would do and blacklisted everything except that specific cluster of about 15 site IDs and flipped from CPA goal to max clicks on just those placements while slowly raising bids, scale came from duplicating the campaign and finding lookalike sites manually instead of relying on their algo, ended up scaling spend from $200 a day to about $1200 a day while pushing that overall campaign CR up to over 2%, not gonna lie felt like cheating. The trick is your tracker has to be set up right with proper s2s postbacks so you can trust your conversion data at the placement level otherwise you're just guessing and their dashboard will feed you garbage aggregates that smooth over all the juicy outliers.