Hey everyone! I’m trying to figure out the best approach for testing ad creatives for my online store that’s focused on the US market. I’m a bit stuck on a few things:
- What’s the right number of ad sets to use when testing?
- How many ads should I include in each set?
- What’s a good budget to allocate per ad set? I want to get useful data without breaking the bank.
If anyone has experience with Facebook Ads and could share their insights or successful testing methods, I’d really appreciate it! Thanks in advance for any tips or advice you can offer.
Hey Liam_Stardust! Great question about eCommerce ad testing. I’ve been dabbling in Facebook Ads myself and I’m curious - have you tried any specific strategies so far? What kind of products are you selling?
From what I’ve learned, there’s no one-size-fits-all approach, but starting small and scaling up seems to work well. Maybe try 2-3 ad sets initially with 3-4 ads each? That way you can test different angles without overwhelming yourself.
Budget-wise, I’ve heard people recommend anywhere from $5-$20 per ad set per day. It really depends on your overall budget though. What’s your comfort level for ad spend?
Oh, and have you considered testing different ad formats too, like video vs static images? I’d be super interested to hear what’s worked best for your niche!
Keep us posted on how it goes! This stuff is always a bit of trial and error, but that’s half the fun, right?
yo liam, i’ve had some success with fb ads. try starting with 2 ad sets, each with 2-3 ads. budget wise, $10/day per set is a good starting point. dont forget to test diff audiences too. whats ur niche? that can impact strategy. lemme know if u need more help!
Having run numerous eCommerce ad campaigns, I can share some insights. For testing creatives, I’ve found success with 3-4 ad sets, each containing 2-3 ads. This allows for enough variation without spreading your budget too thin. Speaking of budget, I typically allocate $15-$20 per ad set daily during the testing phase. This provides sufficient data for meaningful analysis without excessive spend.
One crucial aspect often overlooked is the testing duration. I recommend running your tests for at least 5-7 days to account for daily fluctuations and gather reliable data. Also, don’t forget to test different ad placements - sometimes the less obvious options can yield surprising results.
Remember, the key is to iterate based on your findings. What works in one industry might not in another, so be prepared to adjust your strategy as you go.