Help, how do you know when to scale a campaign?
I seem to fumble the ball every time I try to scale my CPA Facebook campaigns...
I'm sure it's all part of the learning process but I'm curious to hear how others decide when it's time to scale up.
Here's a typical example of my problem:
Although, I usally run 50 ads or so for a given test campaign, my latest campaign had only 15 ads. Several of the ads were converting at greater than 25% so I figured things were going well enough I would break even. I pushed around $80 total through all the ads in the campaign on day 1 and earned around $78.
At the end of day 1 I had several ads with 20+ clicks each converting between 20% and 25%. I paused all but 5 ads figuring that should get me in the ballpark of 100% ROI. But then on day 2 when I try to really start pushing clicks the ROI is like -300%?
From what I've read or heard it's good to push 2 to 3 times the offer through an ad before scaling. I also hear people spend around $100 for their intial campaign data (I don't know for how many ads? but $100 seems to be a common number people throw around). These are the rules of thumb I've been using but it doesn't seem to be enough data.
I guess I could spend a huge amount on each ad to make sure I know which ones are good and which are bad. That would ensure good data, but I don't want to spend more than I'm going to make off the campaign just during the testing process...
Maybe my campaigns are still losers even though day 1 stats looked good? But maybe my loser ads were actually good and just performed bad on the first day
. How do you guys decide?
What rules of thumb are you guys using?
I'm sure it's all part of the learning process but I'm curious to hear how others decide when it's time to scale up.
Here's a typical example of my problem:
Although, I usally run 50 ads or so for a given test campaign, my latest campaign had only 15 ads. Several of the ads were converting at greater than 25% so I figured things were going well enough I would break even. I pushed around $80 total through all the ads in the campaign on day 1 and earned around $78.
At the end of day 1 I had several ads with 20+ clicks each converting between 20% and 25%. I paused all but 5 ads figuring that should get me in the ballpark of 100% ROI. But then on day 2 when I try to really start pushing clicks the ROI is like -300%?
From what I've read or heard it's good to push 2 to 3 times the offer through an ad before scaling. I also hear people spend around $100 for their intial campaign data (I don't know for how many ads? but $100 seems to be a common number people throw around). These are the rules of thumb I've been using but it doesn't seem to be enough data.
I guess I could spend a huge amount on each ad to make sure I know which ones are good and which are bad. That would ensure good data, but I don't want to spend more than I'm going to make off the campaign just during the testing process...
Maybe my campaigns are still losers even though day 1 stats looked good? But maybe my loser ads were actually good and just performed bad on the first day
. How do you guys decide?What rules of thumb are you guys using?
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