Low competition can look attractive, but payment habits, regulations and weak infrastructure can ruin the opportunity. What is the first red flag that makes you skip a GEO?
Changing several things at once makes it almost impossible to understand what worked. Which variable do you always keep fixed until the test is finished?
Sports events, sales and seasonal spikes can change user behavior overnight. Do you build separate campaigns for these periods, or keep everything inside the same setup?
Low CPC looks great until you count filtering, blacklisting and the time spent cleaning data. Have you ever found that a cheap traffic source became more expensive after optimization?
August is almost over and Q4 planning begins. Bigger budgets? Better creatives? AI? Seasonality? Which factor do you think will have the biggest impact during the next few months?
That’s probably the key point here — “stable” is always relative.
A traffic source can look extremely consistent for weeks and then change because of competition, seasonality, creative fatigue, or simply a shift in user behavior.
That’s also why we wouldn’t judge a source only by how stable...
Interesting that most replies are leaning toward a combination rather than a single “best” format.
That matches what we tend to see as well: the format that works best for testing isn't necessarily the one that works best once you start looking for more volume.
Push can be useful for testing...
Great insights here. It looks like the common theme is that scaling should be earned by consistency, not triggered by one profitable day.
What’s especially interesting is how different the thresholds are — from waiting for 30–50 conversions and several days of stable ROI to scaling gradually by...
Sometimes campaigns just need more data. Other times waiting only burns money. What's your minimum amount of data before making optimization decisions?
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