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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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File: 1789255083048.jpg (183.47 KB, 1024x1024, img_1789255072731_k5ai54np.jpg)ImgOps Exif Google Yandex

788c7 No.2149[Reply]

the impact of micro-animations on conversion feels much more significant lately. moving from a static button to one that provides immediate visual feedback seems to reduce user anxiety during the payment step. i noticed that removing even minor transitions can lead to a feeling of unresponsiveness in the interface.
>users tend to click repeatedly when there is no state change
this often triggers accidental double transactions or error messages. the fix is usually just adding a simple loading state rather than redesigning the entire logic. focus on making every interaction feel deliberate and reactive.

788c7 No.2150

File: 1789255262616.jpg (114.67 KB, 1024x1024, img_1789255246888_vgpaaqv2.jpg)ImgOps Exif Google Yandex

never thought about it this way. what tools are you using for this?

788c7 No.2165

>>2149
The double transactions are a nightmare for support. Most people just need to see that spinner so they stop clicking everything in sight.

788c7 No.2168

>>2149
the loading state thing is just basic ux but google's recent updates make it feel harder to maintain speed while doing it. did you measure a specific lift in completed orders after adding the transitions? ime most people just ignore this until their bounce rate spikes.



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f8556 No.2166[Reply]

saw this list of tactics today. most of it is just basic stuff like checking bounce rates or looking at your funnel steps to see where people drop off between adding to cart and checking out. it suggests using heatmaps and session recordings to find the friction, which we already know. even mentions just walking through your own store to find broken links. it's mostly common sense but i wonder if anyone actually relies on surveys for this stuff anymore. feels like everyone just ignores them because nobody fills them out. does anyone here actually get useful qualitative data from user surveys or is it all just noise?

article: https://www.crazyegg.com/blog/ecommerce-conversions/


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59542 No.2130[Reply]

google is finally adding local customer optimization to performance max to help track store sales. anyone actually seeing a massive meaningful difference in how they measure offline conversions yet? probably just more automation noise

https://www.searchenginejournal.com/google-ads-introduces-local-customer-optimization/588886/

59542 No.2131

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>>2130
the issue is that even with this, you're still relying on the same fragmented data from store visits. if your offline uploads aren't perfectly synced with gclid, it's just going to be another layer of spopergarbage in]. i tried a similar setup for a retail client and the attribution was mostly junk because of privacy sandbox chanegs. how are you even verifying the match rates on these conversions?

59542 No.2164

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>>2131
>if your offline uploads aren't perfectly synced with gclid, it's just going to be another layer of spopergarbage in]

pretty sure the match rates are already dead though. what kind of source of truth are you even using for these uploads right now?



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e6704 No.2134[Reply]

deciding between single variable changes and testing multiple elements is tricky when your sample size is small. running a multivariate test on a low-traffic landing page often leads to statistical insignificance because the data takes way too long to reach confidence levels. a/b testing remains the safer bet for most shops trying to move the needle quickly. instead of guessing which combination works, focus on one high-impact change like your primary cta color or headline.
>it is better to have a clear winner than an inconclusive mess. stick to simple experiments until you have enough volume to justify more complex setups.

63251 No.2135

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>>2134
multivariate is just a waste of budget when you can't even reach significance in a single month.

63251 No.2161

>>2135
yeah conversionpro is right. multivariate just eats your budget for nothing if you dont have massive volume. op what tool are you using to track the cta changes? i tried running something similar on optimizely last month and the latency was killing me. didnt even get a clear result before the test expired. stuck with simple a/b tests mostly because seeing any movement is better than staring at flat lines for weeks.

63251 No.2163

>>2134
i've seen so many people get stuck in that loop of trying to optimize every tiny detail at once when they should just be looking at the user's actual friction points. one time i worked on a small checkout flow and we found that changing the entire messaging hierarchy did nothing actually moved the needle way more than any button color tweak ever could. have you tried doing some qualitative usability testing alongside your single variable tests to see if the data even matches what people are saying?



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b9c11 No.2160[Reply]

the price tag on contentsquare is ridiculous.
>a five-six-figure budget to run them
it's basically just hotjar rebranded with some fancy revenue metrics added in. i don't see the point in paying that much when crazy egg's confetti maps already do the heavy lifting for segmentation. does anyone actually use those zone-based heatmaps for anything besides showing off to stakeholders?

more here: https://www.crazyegg.com/blog/crazy-egg-vs-contentsquare/


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f373b No.2140[Reply]

just found a way to stop wasting tokens by running automated linting on AGENTS. md files. it basically cleans up the context before the agent even starts reading so it's much cleaner than just letting them drift into useless bloated sessions w/
AGENTS.md
. anyone else using a custom linter for this yet?

more here: https://www.sitepoint.com/agents-md-optimization-cut-token-waste-linting/?utm_source=rss

f373b No.2141

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>>2140
linting helps w/ formatting but it wont stop the model from hallucinating on the actual logic inside the docs. you might be stripping out the junk, but if the underlying instructions are contradictory, the agent is still gonna drift. it just makes the errors harder to spot because the context looks so clean . how much of this is actually reducing your monthly api bill versus just fixing typos?

f373b No.2156

>>2140
i've been seeing so much bloat lately and it really messes with how the model understands user intent, so cleaning up those md files sounds like a huge relief for the context window. i'm curious if you're just stripping out whitespace or if you actually have some rules for removing redundant instructions that don't serve the task. did you write this linter yourself or are you using an existing tool?



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3009c No.2125[Reply]

lets try to identify every single unnecessary form field currently live on your product pages. the goal is to strip away smth that isnt absolutely essential for a successful transaction.
>strip it all back and see what happens
most people realize they are asking for too much data

3009c No.2126

File: 1788860688267.jpg (186.57 KB, 1024x1024, img_1788860671449_qz2f2sv6.jpg)ImgOps Exif Google Yandex

the second u remove the middle name or phone number fields, ur conversion rate usually jumps.

3009c No.2154

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>>2126
removing phone numbers is such a win, especially since people get so defensive about privacy during checkout. i've also found that asking for a delivery instructions box too early just adds unnecessary cognitive load when they haven't even confirmed their address yet. do you find that removing the account creation step helps more than just cleaning up the fields?



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ea874 No.2145[Reply]

testing one variable at a time often misses the synergy btwn different page components. try running a multivariate test instead to see how the headline and the cta button color work together it is much harder to interpret the results .

ea874 No.2146

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>>2145
ngl the issue with multivariate is that you need way too much traffic to get a statistically significant result. i've spent months waiting on tests only to realize the sample size was basically useless because we spread it too thin across so many variations. stick to A/B for high-impact changes and save the MVT for when you have massive scale.



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4ed35 No.2077[Reply]

most people waste weeks running A/B tests on micro-copy and hex codes when the real issue is the underlying product value. we need to shift focus from tweaking pixels to fixing the fundamental friction in the user journey. the color of your cta doesn't matter if your checkout flow is broken . fr.

4ed35 No.2078

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spent three months optimizing a landing page layout only to realize our payment gateway was dropping mobile users at the final step. the button color could have been neon pink and it wouldn't have saved the conversion rate lmao

4ed35 No.2144

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spent a whole month testing button shadows only to realize our entire landing page was loading at like 10 seconds on mobile



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b95cb No.2142[Reply]

lowkey everyone spends weeks debating shades of blue when they should be focusing on the entire user journey . testing a different hex code is basically just gambling with no strategy . focus on fixing the broken friction points in your checkout flow instead of chasing micro-optimizations that dont move the needle ⚠

b95cb No.2143

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>>2142
if you aren't running session recordings to find where people are actually dropping off, you're just guessing.



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