Caring waaaay too much about ads since '08 Building @URLLoveIt_: Monitor the changes that actually impact your ads & business. Ad creative: Adcrate.com

Brooklyn, NY
I've spent almost $1 billion advertising on FB since '08 and this is something I see advertisers getting wrong all the time: 🛑 Stop focusing on FB CPMs (and CPCs)! They don't matter that much. ❌ Turning off ads due to high CPCs or CPMs can be turning off top performers. 🧵👇
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Barry Hott ☄️ retweeted
BFCM is 30 days away and Shopify just changed your checkout. Bet you didn’t even notice: Shopify redesigned how payment methods show up at checkout. Here’s what @urlloveit_ caught on Oct 22: 1. Payment methods went from a radio-button list to big side-by-side tiles. 2. PayPal moved from below the card form up next to Credit card. 3. Card logos moved into the card number field. URL Love It first caught this 9/8-9/12, but Shopify was either testing it or rolled it back. According to Shopify’s changelog, it applies to stores with 4 or fewer payment methods. PayPal now gets the same billing as cards. That can change which method people pick, and that changes fees and conversion. If it matters to your customers, it impacts performance. Seeing this in your checkout? Noticed any change in PayPal usage or conversion?
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Ah the ol' quiz-icle. Or as I like to to call em: test-icle
Saw a lander that was hybrid listicle and quiz. Each reason was on a new card with a progress bar. Why I love it: - Super skimmable - Easy to gamify - Can more easily track and optimize drop off to test what messaging resonates - Haven’t seen anyone do it yet Going to test this.
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BFCM is 30 days away and Shopify just changed your checkout. Bet you didn’t even notice: Shopify redesigned how payment methods show up at checkout. Here’s what @urlloveit_ caught on Oct 22: 1. Payment methods went from a radio-button list to big side-by-side tiles. 2. PayPal moved from below the card form up next to Credit card. 3. Card logos moved into the card number field. URL Love It first caught this 9/8-9/12, but Shopify was either testing it or rolled it back. According to Shopify’s changelog, it applies to stores with 4 or fewer payment methods. PayPal now gets the same billing as cards. That can change which method people pick, and that changes fees and conversion. If it matters to your customers, it impacts performance. Seeing this in your checkout? Noticed any change in PayPal usage or conversion?
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Everyone wants to blame Meta ads for performance because that's where the data is, but it's the little things like this that can have a surprising impact at scale. If you're running ads, you gotta keep an eye on everything else that impacts your performance. Get started with monitoring your funnel today with URL Love It: urlloveit.com/
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Good one to check at least once a month:
saw unc @binghott mention an increase in engaged audience. checked breakdown.. yep, bang on. inflated results and a ridiculous amount of money going to engaged.
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I'm NOT saying a shift towards more warmer audiences is all bad. In fact, it could be good in some ways/cases. Hard to know yet! Could just be a reporting issues with minimal impact on actual delivery 🤷 Definitely something to keep an eye on and in mind.
This is pretty alarming. Ok, been hearing a lot of Meta advertisers complaining about performance issues this month. Tbh, I kinda ignored it because I wasn't seeing it clearly. I was actually seeing some good performance on the back of some CRO wins. But I found something interesting in the data that surely relates... And I found it because I was investigating why this account was having a suspiciously good stretch 😅 Meta is now prioritizing delivering to warmer users more than ever. I first noticed it in one account, figured it was an anomaly or something I caused. The proportion of spend going to "engaged" audience vs new has dramatically increased. I often look at this ratio to understand how Meta is optimizing my budget overall and at ad set and ad levels. In recent months, this account was seeing on average, for every dollar spent on engaged users, $6 were spent on new. 6:1 ratio. That gap closed rapidly in October. Recent days, the ratio has been around 1:1. I figured maybe it's seasonal, but October last year was ~10:1. I assumed I caused this somehow or maybe something had changed on the site, buuuut... Then I found it in another account I don't manage. Annnnd another with a toootally different account structure. 2 other media buyers have confirmed seeing this in other accounts as well. It's difficult to see or prove this across accounts because there's no uniform "engaged audience" definition. Every media buyer and account sets them differently (if they set them at all 🙃), so your data will vary from mine. Looking at the chart, the two lines converging means less daily spend is going to new audiences and more to engaged audiences (which in this case is defined as visitors from past 30 days). These are all purchase-optimized campaigns and we make very few changes. Meta is doing this, not me. In Meta's reports you can look at a trend chart and breakdown by audience segment to see this yourself. I’m not yet sure if this is actually bad or not for these accounts, but it’s an interesting trend/shift I’ve never seen before like this. I'm not making any changes... yet. I'm still observing what Meta is doing and trying to figure out why. Maybe this will bite me, but I've found the more patience I have and the fewer changes I make, the more I learn about how/why the system operates. This account and biz is humming along fine, actually kinda doing great, but I'm trying to find evidence of other immediate and/or longer-term impact. So far, the incremental-attributed conversions are looking good, external click-attribution looks good too. Maybe that's all skewed by the warmer traffic and maybe that will run out soon. I'm imagining this isn't the case for all advertisers. I trust Meta more than others, but I'm still very skeptical of what's going on here. Are you seeing anything like this? What do you think is going on?
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This is pretty alarming. Ok, been hearing a lot of Meta advertisers complaining about performance issues this month. Tbh, I kinda ignored it because I wasn't seeing it clearly. I was actually seeing some good performance on the back of some CRO wins. But I found something interesting in the data that surely relates... And I found it because I was investigating why this account was having a suspiciously good stretch 😅 Meta is now prioritizing delivering to warmer users more than ever. I first noticed it in one account, figured it was an anomaly or something I caused. The proportion of spend going to "engaged" audience vs new has dramatically increased. I often look at this ratio to understand how Meta is optimizing my budget overall and at ad set and ad levels. In recent months, this account was seeing on average, for every dollar spent on engaged users, $6 were spent on new. 6:1 ratio. That gap closed rapidly in October. Recent days, the ratio has been around 1:1. I figured maybe it's seasonal, but October last year was ~10:1. I assumed I caused this somehow or maybe something had changed on the site, buuuut... Then I found it in another account I don't manage. Annnnd another with a toootally different account structure. 2 other media buyers have confirmed seeing this in other accounts as well. It's difficult to see or prove this across accounts because there's no uniform "engaged audience" definition. Every media buyer and account sets them differently (if they set them at all 🙃), so your data will vary from mine. Looking at the chart, the two lines converging means less daily spend is going to new audiences and more to engaged audiences (which in this case is defined as visitors from past 30 days). These are all purchase-optimized campaigns and we make very few changes. Meta is doing this, not me. In Meta's reports you can look at a trend chart and breakdown by audience segment to see this yourself. I’m not yet sure if this is actually bad or not for these accounts, but it’s an interesting trend/shift I’ve never seen before like this. I'm not making any changes... yet. I'm still observing what Meta is doing and trying to figure out why. Maybe this will bite me, but I've found the more patience I have and the fewer changes I make, the more I learn about how/why the system operates. This account and biz is humming along fine, actually kinda doing great, but I'm trying to find evidence of other immediate and/or longer-term impact. So far, the incremental-attributed conversions are looking good, external click-attribution looks good too. Maybe that's all skewed by the warmer traffic and maybe that will run out soon. I'm imagining this isn't the case for all advertisers. I trust Meta more than others, but I'm still very skeptical of what's going on here. Are you seeing anything like this? What do you think is going on?
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Also, despite the increased delivery to warmer audiences, I'm seeing frequency decrease. Since the engaged audience setup doesn't let you track Facebook or Instagram engagers as part of "engaged audience" it's possible, Meta is shifting more spend from lower-value page engagers to more recent visitors.
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My favorite hypothesis so far: The new ad feature where it shows the ad landing page in the comments of the ad is inflating site visitors (and deflating CVR), causing Meta to have a larger pool of site visitors to count as “engaged audience” Good point from @juliencmalet nitter.siddz.com/juliencmalet/status/21…
Replying to @binghott
I’ve been thinking it might be related to ad engagement (opening comments) firing site visits / VC fires if you send to the pdp. More users in the engaged audience but a poorer quality pool of users less likely to purchase.
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Barry Hott ☄️ retweeted
If your ad performance is up or down and you know nothing changed in the ad account, ~90% of the time, it's caused by something else in the funnel. 1st check recent emails that when out. If it wasn't an email, look for changes on: • Landing pages • PDP • Homepage • Elsewhere on the site • Product or brand reviews • Google search results • 3rd party listings • Competitors' site/offer • Shopify/website app outages Whiiiich is exactly why I built @urlloveit_ so I know what changed before I take the blame (or credit 😅).
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Incredible, massive, game-changing news for Meta advertisers: Longform content coming to Instagram.
Instagram launches long-form video called "Features" Creators can link up to 8 clips that show up in the feed and drive to the full video per @mosseri
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Think about how people use YouTube vs Instagram today. On Instagram, you scroll. On YouTube, people sit down and watch. 10 minutes. 20 minutes. HOURS. If Instagram gets people watching like that, people spend more time inside Meta's apps. Annnnnd more time means more ways for Meta to deliver ads to users. More sessions, more watch time, more moments where an ad can show up. That's more inventory for Meta to work with. And when Meta has more places to show ads, it has more room to find the right person at the right moment for your ad, BUT... This also adds complexity to ad reporting and attribution, since content consumed on a TV doesn't really get clicks, so this could change how we measure results and optimize campaigns on Meta. (Making Incremental Attribution even more important!) Will this be available to advertisers immediately? Probably not! Based on my 18 years of experience, I'd expect them to start with zero or limited ad placements and then increase over time as more users watch. IF it works, this is one of the biggest changes to how ads get delivered on Meta in a long time.
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Good q about attribution theft: "how do you think Meta knows who will “convert anyway” at scale? I’m struggling to understand how the algo can prophecy that." Here's my answer: The same way you know who's more likely to convert, except Meta has waaaay more signals than you. Meta's ML system is just playing a game trying to get as many conversions as it can get within the rules you allow it to (attribution settings). Imagine you were Meta and you could choose exactly which ads you could deliver on which placements to get credit for as many conversions possible, to win the "game". Who is more likely to buy today? A. Someone who's never seen your content or been to your site before B. Someone who's been to your site 87 days ago C. Someone who's been to your site five times in the past 6 months and engaged with your organic content 3 days ago D. Someone who was on your site and added a product to cart 15 minutes ago? And also remember, Meta can which placements it can show that user an ad and choose which of your ads it can use. If you wanted to get as many cheap "conversions" as you could from 1-day view attribution, you could just target visitors from the past day, use image ads, and run optimized for reach and Meta will deliver on the cheapest placements to reach more users, and you'll get a ton of cheap "conversions" from placements like audience network, right column ads, and ads on reels. But probably 1% of those conversions would be net-new sales, the rest were already bound to happen anyway. Incremental attribution doesn't care to get "conversions" like that.
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How to understand incremental attribution in 7 seconds: Standard attribution: this guy gets credit for the train leaving. Incremental attribution: the driver gets credit for the train leaving. Which would you rather optimize for more of?
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Sorry everyone, I overreacted, we good. Back to our regularly scheduled programming.
Entertainment is over guys. We squashed the beef.
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mfka literally doesnt understand how any of this works. larping:
mfka woke up and wanted to write a book. TOF ads = 7dc1de or incremental + acquire new customers MOF ads = 7dc1de BOF ads = 1DC Don't let people overcomplicate it. Why the fuck would you want to try and incrementaly recover an existing customer in 99% of ecom brands over a 7 day plus window? Take your best TOF in TW and test incrementality on it. Main thing you will notice is an increased new visitor percentage and lowered frequency.
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Sorry, I misunderstood the use of mfka here and overreacted, we good @buffalofink
i call my closest homies mfkas
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Soooo many misconceptions about what Incremental Attribution is/means/does vs standard attribution Easiest example: let's say you're targeting existing customers (or visitors from the past day) and optimizing for 7dc1dv, you could get a ton of cheap conversions, but most of the conversions you'd get are non-incremental (would've happened anyway) because Meta can just show cheap garbage impressions to the highest-intent users to get easy attribution credit without actually doing anything. Incremental attribution only counts conversions that wouldn't have happened anyway (based on Meta's modeling). You can see this best in placement breakdowns. Anytime you see similar or more view 1dv attributed conversions than 1dc, it's a huge indicator of non-incremental nonsense. Optimizing for Incremental vs 7DC1DV means Meta will optimize your spend to users, placements, and ads differently because it's trying to get more actual net-new incremental sales, rather than lazily take credit for the ones that it knows are already going to happen.
why would you want to be incremental with anything else?
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