Hey I just started running Facebook ads in Berlin, Germany for a Kitchen Remodel company. So far we have spent 300€ and nothing has happened. They are instant form ads, 30€/day, advantage plus targeting with a few interests. Below are my creatives. The text in the Bubbles translates to "1000€ Fall bonus 🍂. Free design consultation. Click Learn more to save your spot. The top bar translates to"limited availability. Offer ends 30.10.. as well as "YOUR DREAM KITCHEN" Can anyone tell me what I am doing wrong?

Hey Kings, when KPI's are discussed it is almost commonly discussed in terms of percentages. E.g. For Facebook Ads, a good CTR (All) is around 4% and a good Link CTR is around 1%. My question is, is the cost per metric more important compared to the % of said metric? For example, In my experience I have seen advertising to the ages 18-50 commonly gets me an average CPM of $10 and advertising to the ages 50-65+ gives me an average CPM of $40. With these KPI's for the older demographic, this will still put me at a insanely high CPC (All) and Cost Per Link Clicks roughly around $5-$10 Cost Per Link Click. With an average 10% Lead Form Conversion rate, the CPL is way out of KPI and unsustainable. For this demographic & $40 CPM, instead to get actual results I have had to construct ads that get a 10%+ CTR (All) and 5%+ Link CTR equating to a $1 - $3 Cost Per Link Click to get good CPL. On the other hand, for the younger demographic and $10 CPM, I can get CTR (All)'s & Link CTR's under this 4% CTR (All) and 1% Link CTR KPI and still get good Cost Per Link Click's at $1 - $3 which also produces good CPL's. So in these examples, it would make more sense to focus on the Cost Per Click (All) and Cost Per Link Click as KPI's rather than the %'s Let me know your thoughts!

Quick question I wanted to run through you guys. I'm sure most of you are aware of the 3 to 4 to 7 day 'incubation' period for Facebook ads where you should let them run for a 3 to 4 to 7 day before making changes to them. The idea of this is to gather enough data for your ads to be able to make calculated decisions and changes. My question is, how does this rule work in relation to the ad spend? For example, if you run a ad at $5 a day for 7 days thats a total of $35 worth of data... But if you run an ad at $50 a day for one day thats a total of $50 worth of data In this example I would say that you should only make changes to the ad with $50 spent and would let the one with $35 spent run for longer. Wheres the cross over between time spent running and ad spent? Would like to hear your thought on this one Jimmy ❤️

The structure of my campaign is a leads campaign with just a normal adset (no DCT)