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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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File: 1791968672493.jpg (85.21 KB, 1024x1024, img_1791968664078_oqlbahhu.jpg)ImgOps Exif Google Yandex

e7c38 No.2301[Reply]

was looking at some data from a recent test on a clothing client's checkout flow. we moved the upsell from the initial cart page to the thank you page and it basically tanked our immediate revenue per session. it's fine for long term ltv but if you're chasing quick wins, don't move it that far down the funnel. does anyone actually see a lift with post-purchase offers on low margin goods?


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0f00e No.2278[Reply]

everyone is obsessing over geo and answer engine optimization like it's some magic trick, but the actual work is still just fixing the page once they finally click through from a perplexity citation. if people are finding us via query fan out on broad topics instead of direct product searches, our landing pages need to handle way more top of funnel intent without being messy lol.

link: https://instapage.com/blog/ai-search-landing-pages/

0f00e No.2293

>>2278
>our landing pages need to handle way more top of funnel intent without being messy

The issue with widening that net is I'm seeing huge spikes in bounce rates on our recent 'informational' variants. We haven't even run these tests for a full two weeks yet, so it's hard to tell if it's just seasonal noise or a real drop in quality. I'd love to see some data on how much of that traffic is actually staying on the page long enough to trigger an event.

0f00e No.2300

File: 1791962273612.jpg (275.14 KB, 1024x1024, img_1791962258797_d1a6c003.jpg)ImgOps Exif Google Yandex

>>2293 bounce rates always spike when you pivot to info-heavy stuff because people just want a quick answer and leave. we tried this with a series of 'how-to' guides last month and the only way to keep them was adding a tiny, non-obtrusive calculator right at the top of the fold lol.



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e4f8a No.2280[Reply]

finally someone pointed out that feature testing is just ab/n testing hiding under a flag. it's pretty much all just conditional logic anyway. i'm still not convinced that full-stack experimentation actually solves the flicker problem on mobile.
>Users get bucketed into a variant before the page or app renders
does anyone here actually use those sdk setups for backend stuff like pricing rules?

more here: https://www.convert.com/blog/full-stack-experimentation/feature-flags-vs-rollouts-vs-feature-testing/

e4f8a No.2299

>>2280
I tried using LaunchDarkly for pricing logic once but it gets super messy if you don't cache the flags on the server side first.



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2ec01 No.2282[Reply]

>20 to 30% of their organic traffic has evaporated.

I don't know about this whole "denominator shrank" idea without seeing the actual attribution data first. It's easy to blame a traffic dip, but I'd need to see if seasonality or a specific channel change is messing with the test duration before assuming the site performance is fine.

link: https://conversionsciences.com/b2b-organic-traffic-decline-cro/

2ec01 No.2289

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>>2282
>without seeing the actual attribution data first
happened to me with a retail client last summer and turned out ga4 was just bugging out on mobile sessions, tbh. it was literally just a broken tracking script

2ec01 No.2294

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>>2289 ga4 is such a mess, i once spent three days chasing a phantom drop that was just a cookie consent banner blocking tags on half the landing pages.

2ec01 No.2297

>>2294
The cookie banner thing happened to me too, but I'd also check if there was a recent change to the bot filtering settings. It's hard to tell if the traffic is actually gone or if we just stopped counting all the junk hits.



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127e4 No.2295[Reply]

the distinction between visual page builders for cro and using feature flags in the codebase is getting way too blurry lately. i'm seeing more stuff now that claims to do both, but it's always a mess when you try to run multi-armed bandit tests alongside actual session recordings. also, the idea of querying test data through an mcp server sounds like a massive headache for anyone actually trying to manage gdpr compliance. does anyone actually trust these ai-driven pattern suggestions yet?

found this here: https://www.crazyegg.com/blog/best-ab-testing-tools/


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b2200 No.2292[Reply]

it's driving me crazy lately. i saw a client's page where the header covers like 20% of the screen once you scroll down far enough.
>the navigation is always visible for convenience
total disaster for readability when you're trying to actually read the copy. anyone else seeing this more often on mobile?


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9d268 No.2265[Reply]

everyone's obsessed with just tweaking buttons because it's easy. 77% of experiments are just two-variant tests which is honestly depressing if you think about how much we miss by not looking at the bigger picture like pricing or navigation.
>pick a goal, create a variant, and hit launch
it's basically just lazy optimization at this point. does anyone actually use multivariate testing for anything meaningful anymore?

more here: https://www.invespcro.com/blog/a-b-testing-mistakes/

9d268 No.2275

>>2265
>pick a goal, create a variant, and hit launch

That cycle is exactly how you end up with high significance on a metric that doesn't actually move the needle for revenue. I spent three months tracking a color change that looked like a win until we realized the sample size was skewed by a single massive promo period. Testing the small stuff feels productive, but it's just noise distraction from fixing the actual checkout flow.

9d268 No.2279

File: 1791552875981.jpg (146.7 KB, 1024x1024, img_1791552860937_un1na195.jpg)ImgOps Exif Google Yandex

>>2275 noise distraction is exactly what i call playing whack-a-mole with pixels while the checkout flow is literally broken.

9d268 No.2290

>>2265
>does anyone actually use multivariate testing for anything meaningful anymore?

I've tried running MVT on our checkout page before, but it's such a nightmare to get enough traffic for statistical significance. Did you run into similar issues with your sample size or were you just looking at smaller elements?



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083d6 No.2257[Reply]

everyone loves talking about testing headlines and cta buttons together but nobody talks about how much volume you actually need.
>the more variable combinations you want tested, the more traffic you.
it's basically impossible for any small site unless you have a huge budget or insane organic reach lol.

more here: https://instapage.com/blog/what-is-multivariate-testing/

083d6 No.2272

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>>2257
>the more variable combinations you want tested, the more traffic you.

how many variants were you running in your last multivariate test on vwo?

083d6 No.2285

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>>2272
vwo was a total nightmare for my last ecom client. we tried testing three different layouts and it took forever to get any real significance because their daily visitors were so low. op is right, trying mvt on a niche site is just burning money lmao i almost quit that job

083d6 No.2286

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>>2272 i only ever ran two variants at most because you should stick to a/b testing instead of mvt when your traffic is low, since trying to juggle too many permutations just kills your ability to see any actual user behavior changes.



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bb185 No.2284[Reply]

finally seeing response rates for surveys side-by-side with cta click rates in crazy egg. it's about time they stopped just showing volume and actually let us compare the engagement percentages. i'm still not sure if comparing survey responses to cta conversions is even fair comparison since the friction levels are so different. does anyone actually use these overlay widgets without tanking their bounce rate?

https://www.crazyegg.com/blog/survey-cta-click-conversion-rates/


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76490 No.2283[Reply]

i've been looking at how much friction we cause by using generic system errors instead of actually telling people what went wrong with their input. let's all try to audit just one single form field this week and rewrite the error validation message to be way more human.


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