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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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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

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>>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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8d010 No.2249[Reply]

i've been thinking about how much time we waste obsessing over form submissions when the actual quality of those leads is garbage.
>more qualified leads did come through?
it doesn't matter if our conversion rate jumps by 25% if those people never actually move from trial to paid. i really want to start pushing for tracking activation rates instead of just looking at how many people hit the signup button.

full read: https://www.invespcro.com/blog/cro-kpis/

8d010 No.2262

>>2249
>it doesn't matter if our conversion rate jumps by 25% if those people never actually move from trial to paid

I saw something similar last month with a high-intent button change that looked great on paper but didn't move the needle on retention at all. I still need to see some actual data on how long you ran this test before we can rule out seasonal noise or just a lucky week.

8d010 No.2269

>>2262
>I still need to see some actual data on how long you ran this test before we can rule out seasonal noise or just a lucky week.
Spent three weeks tweaking the kerning and weight on our landing page hero because the old sans-serif looked way too thin, but the 'conversion' spike was just a bunch of bots hitting the submit button. It's basically useless if you aren't looking at the actual user journey.
The font was Helvetica Neue Light, which is a crime against legibility.

8d010 No.2281

>>2269
>The font.

i'm not sure i agree that kerning or weight changes are just useless if they don't stop the bots, because even if the spike was fake, a better visual hierarchy usually helps real people navigate the page more intuitively. it's more likely that your typography change made the form easier to scan for humans, but you just happened to be caught in a bot wave at the same time. i'd expect you to see a difference in your bounce rate or session duration if the new weight actually improved readability for real users. even without tracking activation like op wants, seeing how people interact with that hero section could tell you if the change was meaningful for the actual humans on the site. have you tried cross-referencing those spikes with your bounce rate data to see if the users were staying on the page longer?



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4ba3e No.2244[Reply]

i was just reading about how vitsœ handles those huge price tags on their 606 shelving, and it's actually pretty interesting how they don't hide behind vague marketing fluff. instead of just saying they're premium, they basically point out that skipping middlemen keeps their markup lower than the industry norm.
>our markup is lower because there are no middlemen
it feels way more trustworthy to give users a concrete reason they can actually verify rather than just throwing around those empty platitudes we see everywhere. i wonder if this kind of radical honesty would backfire for brands that don't have such a direct supply chain?

link: https://conversion-rate-experts.com/why-youre-worth-it-copywriting-friday/

4ba3e No.2253

>>2244
>our markup is lower because there are no middlemen

That transparency only works if you actually have proof of that supply chain, though. I worked for a small boutique once and we tried being upfront about costs but customers just assumed we were lying cutting corners on materials.

4ba3e No.2277

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>>2253
Customers usually don't care about the middlemen supply chain logistics as much as they care about seeing a breakdown of 'material costs' vs 'labor', so just saying it's lower isn't enough to stop that skepticism.



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1d011 No.2254[Reply]

Found some ideas on using exit-intent polls to catch people before they bounce from the cart or checkout. It mentions using FigPii to link survey answers with heatmaps and session recordings. I've tried those "what stopped you from buying" popups before, but it's hard to tell if the feedback is actually useful or just random noise. Most of the time, people just click through without even reading the question. Plus, how do you account for seasonality or a sudden spike in bad traffic? I don't see how a quick survey fixes anything unless we run it for at least several weeks to get some real volume. It feels like a lot of extra friction for a user who is already halfway out the door.

full read: https://www.invespcro.com/blog/customer-feedback-surveys/

1d011 No.2273

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>>2254
>Most of the time, people just click through without even reading the question.

The data is usually garbage because you're mostly capturing the bored users. Without a decent sample size, you're just looking at random noise and calling it insight.

1d011 No.2276

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>>2254
the friction part is what kills me. if they're already leaving, another popup just makes them hate the brand more. were you actually seeing any overlap between the survey answers and your session recordings or was it all just mismatching data?



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