Because the fault here doesn't lie with ML, but with errors of judgment made by humans when setting up the targeting demographics for their ads.
There's still a lot of anti-data sentiment in the paid ad industry, where media buyers will guide themselves by what they think their customer looks like, and not what data tells them it is.
And until this is a fixed behavior, you'll keep on seeing untargeted ads.
I've been following your blog for quite a while now, and I enjoy it a lot.
Are there any other link-blogs that you recommend? (besides the usual ones like kottke, etc..)
It's an interactive database of the top 100 Shopify stores, with 19+ e-commerce data points available for each one.
I'm really happy that the average time spent on the website is over 4 minutes and 30 seconds - I never expected people to be this interested, so now I'm thinking of ways to expand this idea.
+1 to this solution.
I've been using Carrd for small landing pages ever since this summer, as it is so easy to set up and use - in less than an hour you will probably have a highly-polished mockup.
And once you get the hang of it, it takes less than 15 minutes.
But consider that in Instagram's case, it's most likely just an attempt at discrediting "influencers" - which are a big parallel marketplace of ads occurring on Facebook's property without any return for the main company.
This is 100% correct, but this list is more about knowing if some ad platform can be a good place to launch ads to a cold audience (that are more targeted for the product) - because, after a while, every single one of the 6 ad platforms allow for lookalike audiences and those will be much more profitable.
Just having all the targeting options under one dashboard is already a very significant improvement in the strategy step that any PPC manager must think about.
All the stress and energy spent going back and forth between ad platforms really only favors the installed players.
I'll probably do it in a version 2.0 of my knowledge base, but almost every platform offers the exact same type of retargeting, so it's not that insightful.
In my experience, it really depends on how the product fits their audience.
In general, I don't think most products can find good ROI when using Youtube influencers, simply because of 2 reasons:
• There's no easy way of leading people to links on Youtube. This means that even if you have a great ad, one that is super relevant to your audience, a lot of those people simply won't take the time to go to the video's description to click on a link. On Instagram, you can just put a practical swipe-up link on stories.
• Even when the ad is good, people want to see the Youtuber doing whatever made them click on the video. For this reason, ads are mostly ignored - and when you add this to the surprising amount some big YouTubers charge for ads, it really diminishes any decent ROI.
One unexpected effect that could arise from this for Facebook, is that people using this feature could start displaying negative emotions towards the main app.
All it takes is a bad date, some awkward rejection, or a stalker experience to start feeling ill about using Facebook dating, and by extension, Facebook.
I've also dealt with a lot of Instagram influencers for sales promotions, and there's one factor that I found has correlated a lot with the success of my campaigns:
The fact if the account has promoted/is promoting a lot of products.
I found that the fewer products an account promotes, the more your sales/ product awareness increases.
This is not just because followers become saturated with promotions - I believe it's also because Instagram purposely reduces the reach of those accounts that use the "swipe up" link feature too much.