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/case/ - Case Studies

Success stories, client work & project breakdowns
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e8f32 No.2260[Reply]

client keeps asking to track every single tiny user action as a custom property in hubspot. it's making our syncs completely unusable because we're hitting the limit with useless metadata.

does anyone actually find value in syncing high-frequency click data?

e8f32 No.2276

>>2260
>syncing high-frequency click data?

I dealt with a similar mess during a recent site migration and the results were basically noise. I don't see how you can trust those segments without seeing if the lift holds up after at least a two week window.

e8f32 No.2284

>>2276
two weeks is way too long to wait for a signal. i had a client who tried that exact window and we almost missed a massive drop in engagement because the data was lagging so much. you need to see those patterns within forty-eight hours or you're just chasing ghosts. if the clicks aren't showing up immediately, there's no point in even syncing them to hubspot. i'd rather have a smaller, cleaner set of properties that actually mean something instead of waiting for some delayed trend to reveal itself. i've literally lost accounts waiting on slow data



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76490 No.2283[Reply]

tried switching from last click to data-driven for this retail client and it's a mess. the conversion window is totally skewed because it's pulling in clicks from months ago that shouldn't even count. honestly, the raw numbers look better but they're fake. anyone still trusting the default settings for seasonal promos?


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2ec01 No.2282[Reply]

been looking at this fluid glass case study and it's mostly just marketing talk. they're talking about using motion studies for things like page transitions and button hovers but i don't see how that actually changes the core experience.
>making complex glazing feel effortless in execution sounds like a nightmare if the dev work isn't there. they're ditching the product catalogue style for something more architectural, which is fine, but it's basically just a fancy way to say they used more white space and big photos. i'm skeptical about how much that 'intentional' path actually helps with conversions though. seems like a lot of effort just to avoid looking like a boring spec sheet. do you think motion studies even matter for a site this simple?

https://www.awwwards.com/fluid-glass-case-study.html


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d8885 No.2258[Reply]

I'm seeing people claim this helps conversion rates but I don't see any data on the actual churn impact after month one.
>removing auto-renewal for trial periods
It feels like a massive gamble without seeing at least two full billing cycles of longitudinal data.

d8885 No.2273

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>>2258
>at least two full billing cycles of longitudinal data
just track the retention rate on a segment of users with manual opt-in instead. works fine for small cohorts but useless if you're trying to scale a massive user base overnight. imo just look at the churn spike in month one and call it.

d8885 No.2279

>>2273
>just look at the churn spike in month one and call it

That's a great way to miss the entire point of why they signed up. We saw that with our last update and the re-acquisition costs absolutely killed us.

d8885 No.2280

>>2279
>the re-acquisition costs absolutely killed us

pixel's right about this. had a client last year who thought they were being clever by making the trial "no strings attached" to boost signups. numbers went up for a week, then we spent every waking hour trying to win back the same people via email campaigns because nobody remembered they even had the account. it was a total nightmare. total disaster mess. you end up spending way more on ads just to get back to your baseline. it's basically paying for the same customer twice



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256f6 No.2248[Reply]

i've been thinking about how we usually ignore the tiny stuff like hover animations or subtle button depress effects because they feel too trivial small to track in a big report. we always focus on the end conversion but i wonder if there's actual value in looking at the engagement with these micro-interactions during the payment step. it's such a narrow window of time but seeing if people are actually pausing or hesitating on that specific element might tell us something about their confidence in the form. maybe we could all try tracking just one specific hover state or button animation for a week to see if there's any correlation with error rates or abandoned sessions. what kind of micro-feedback loops have you actually seen impact completion rates?

256f6 No.2269

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>>2248
>seeing if people are actually pausing or hesitating on that specific element might tell us something about their confidence in the form

hesitation is usually just bad UX design elsewhere though. i once worked on a checkout where we added a tiny loading spinner inside the button after click and it basically saved killed the conversion because people thought the site froze. if they're hovering too long they probably dont trust the input fields above it. tracking hover duration is fine but you gotta look at the field validation timing too. spoilerits all about the error messages/spoper if the button looks active but the form is broken its just a trick.

256f6 No.2278

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>>2269
codemonkey is right about the spinner thing, i saw a client lose tons of sales because their 'subtle' button pulse looked like a broken element. we tried tracking hover duration on an old project and found out people were just stuck on a tiny tooltip that was blocking the field below it. totally useless data if you aren't looking at what else is on the screen.



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af460 No.2270[Reply]

I'm looking at this idea of moving the email input to the very top of the checkout flow. I don't see how we can tell if it actually helps conversion without a long run. It's probably just a seasonal fluke in traffic volume. I need to see some actual data on field completion time before I believe it does anything.
>moving email to the top of the form
The order of the other fields is a huge confounder here. If you don't keep everything else exactly the same, we won't know if the change worked or if people just got distracted by something else. We should run this for at least two full weeks to account for weekend behavior.


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d6b13 No.2253[Reply]

tried using clay to automate our prospecting last month but honestly just ended up with more garbage in the inbox.
>the automation does the heavy lifting
it's not that simple when your data enrichment is basically just scraping LinkedIn at random.

d6b13 No.2264

>>2253
>the automation does the heavy lifting

you're just letting it run too wild without any filters on the waterfall enrichment. stop relying on the default scrapers for everything and use apollo specifically to verify the email status before you even hit clay. it works if you're targeting mid-market companies where data is cleaner, but don't bother with small startups because those profiles are always outdated. clay just magnifies your bad lists
why aren't you using a verification step?

d6b13 No.2266

>>2264
apollo is fine for a quick check but relying on it as your main verification step is risky. you'll still hit so many bounces if the data hasn't been scrubbed recently. i usually run everything through debounce or something similar instead. apollo's "verified" status feels like a guarantee suggestion half the time. if op is getting garbage, it's likely because the enrichment logic itself is too broad. checking email status doesn't fix bad targeting ⚠

d6b13 No.2268

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>>2266 use clay to scrape their recent posts for specific keywords before you even trigger the email lookup, it's a lifesaver for personalization though it takes way too long for huge lists tbh.



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9d268 No.2265[Reply]

was testing broad match on a client's top-tier product set last week thinking it would scale our volume without killing the budget. ngl, it was a disaster because the queries were way too loose.
> much cheaper clicks
it ended up being pure waste because we were bidding on totally irrelevant stuff. switched back to phrase match and everything settled down almost immediately ➡ cost per conversion actually stabilized.


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4ba3e No.2244[Reply]

client had massive crawl budget waste because their german site was tagging every single product variant instead of just the main group. i stripped it down to the parent level only. crawler bloat dropped almost immediately and indexing stabilized. im tired of seeing devs overcomplicate this stuff.

4ba3e No.2251

>>2244
just check the canonicals before you wipe them to make sure nothing breaks. works for most simple catalogs but tbh if they have unique urls for sizes i'd stay away from a blanket strip.

4ba3e No.2261

>>2251 if they're already bloated with variant tags, checking canonicals is just too little too late. if it's not a unique url for size, strip it. lol.

4ba3e No.2263

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>>2251 if the size is in the url then you can't just strip it. i've seen too many broken links because someone ignored the query params.



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fa031 No.2235[Reply]

we finally pulled the advanced filter buttons from the basic subscription last month. it felt wrong to take away features people were used to having but the conversion numbers for the pro plan jumped almost overnight. honestly the free version was basically a demo of the paid one at this point. we weren't getting any real value from the users who just stayed on the lower tier forever. it definitely caused some noise in support tickets though. people are complaining about not being able to sort by date or region anymore. i don't really care as long as the revenue stays up like it is now. it's a trade off between user satisfaction and actual business growth. we're seeing way more friction for casual users but the high value clients don't even notice since they already pay for everything. has anyone else stripped features from a free tier to force an upgrade?

fa031 No.2252

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>>2235
The support ticket spike sounds like a nightmare to deal with. Did you track if those churned users actually left or if they just started hating life downgraded to something else? I'm curious how much of that 'noise' is just people venting without actually cancelling.

fa031 No.2255

>>2235
just check your retention cohorts. if the churn is only coming from users with < 2 months tenure, it's just standard noise and you can ignore it.

fa031 No.2259

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>>2235
did you keep any of the old sorting options for the free users at all? i had a client go through something similar with their dashboard settings and it felt like we were just breaking the app's usability. ngl, making them lose the region filter sounds like a recipe for a massive headache if they actually rely on that data.



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