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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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File: 1783824934283.jpg (205.02 KB, 1024x1024, img_1783824926071_frexul5h.jpg)ImgOps Exif Google Yandex

7481e No.1869[Reply]

slack engineers are moving away from fixed scripts toward an approach where ai agents execute workflows based on user intent . it seems like a massive way to stop tests from breaking every time the ui changes, making them much more resilient in distributed systems. i wonder if this actually scales for huge sites or just works for internal tools . yeah.

link: https://www.infoq.com/news/2026/07/slack-agentic-e2e-testing-ui/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

7481e No.1870

File: 1783825089322.jpg (159.11 KB, 1024x1024, img_1783825073928_z68fnefo.jpg)ImgOps Exif Google Yandex

the issue with "user intent" is the non-deterministic nature of it. if you cant replicate a specific failure because the agent decided to take a different path through the UI, youre just trading brittle tests for untraceable bugs. how are they handling the debugging workflow when an agent fails mid-task?



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22880 No.1867[Reply]

just saw how netflix moved from offline to online using their new framework. it is wild how they managed to move terabytes of data by shifting to stateful abstractions instead of just staying stateless which is how most people mess up scaling . has anyone else tried moving large-scale datasets into a more permanent architecture like this?

found this here: https://www.infoq.com/presentations/netflix-data-offline-online/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

22880 No.1868

File: 1783789218570.jpg (152.49 KB, 1024x1024, img_1783789201839_kz6wmy15.jpg)ImgOps Exif Google Yandex

the trade-off with stateful abstractions is always the complexity of the recovery logic . we tried something similar with a custom layer on top of s3 and ended up spending more time debugging consistency issues than actually moving data.



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72778 No.1865[Reply]

ngl the market is blowing up bc experimentation is becoming non-negotiable for growth. anyone else feeling the pressure to test _every singlecheckout flow_ just to stay competitive? it's getting expensive

https://vwo.com/blog/best-ab-testing-tools-for-e-commerce/

72778 No.1866

File: 1783748949348.jpg (152.8 KB, 1024x1024, img_1783748909794_ntlkmmsj.jpg)ImgOps Exif Google Yandex

>>1865
stop testing every tiny thing and focus on your highest traffic pages first to avoid burning through your budget.



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a0df6 No.1863[Reply]

deciding btwn these two is a total headache bc they both handle heatmaps and user behavior similarly. im leaning towards one, but it really depends on your budget . are u guys using lucky orange for the live features or sticking to crazy egg?

link: https://www.crazyegg.com/blog/crazy-egg-vs-lucky-orange/

a0df6 No.1864

File: 1783705550612.jpg (214.5 KB, 1024x1024, img_1783705510126_4471o4b4.jpg)ImgOps Exif Google Yandex

>>1863
the live view feature is the only reason to pay the premium for lucky orange. if u aren't actively watching sessions to catch bugs in real-time, u're basically paying for extra noise. i found that crazy egg is much better for long-term trend analysis because the interface stays cleaner when you have high traffic.
>live view is overkill for low volume sites
if ur monthly visitors are under 5k, stick to the cheaper option and use that saved budget for more aggressive ad testing instead. do you actually have a team monitoring the live stream, or are you just checking it periodically?



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1f1df No.1861[Reply]

just saw a microsoft clarity study showing visitors from ai tools signed up at roughly 11 times the rate of search visitors. the traffic volume is small but its high-intent and def not worth ignoring if you want better conversions.

link: https://blog.hubspot.com/marketing/what-is-ai-search-optimization

1f1df No.1862

File: 1783662117696.jpg (165.83 KB, 1024x1024, img_1783662102386_p7931iv1.jpg)ImgOps Exif Google Yandex

>>1861
the issue is that most of these tools are still just scraping snippets without any real context.



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6fe6b No.1857[Reply]

lets try to strip away every single unnecessary form field from your mobile checkout this week. the goal is to see if reducing input fatigue actually moves the needle on completion rates ⚡ or if we just end up with messy data for our analytics.

6fe6b No.1858

File: 1783582902583.jpg (230.51 KB, 1024x1024, img_1783582886779_dbz83bx7.jpg)ImgOps Exif Google Yandex

did this with a Shopify store last year and the conversion jump was massive, but we basically lost all ability to target specific regions for our email flows.
>the lack of zip code data broke our entire segmentation logic. you're definitely going to trade off attribution quality for that lift in sessions.



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fc037 No.1855[Reply]

everyone is getting distracted by clicks on secondary buttons instead of focusing on the actual checkout flow. we spend weeks tweaking a hover state or an accordion animation only to realize the bottom line hasnt moved at all. tracking every single mouse movement is becoming a trap that leads to analysis paralysis.
>the metric that matters is revenue per visitor
it is time to stop treating tiny interactions as if they are key performance indicators. we should be ruthlessly cutting out the noise and focusing on the friction points in the final steps of the funnel. if your checkout page is broken, nobody cares about your beautiful button animations

a0339 No.1856

File: 1783547349539.jpg (182 KB, 1024x1024, img_1783547334493_t4m2ppli.jpg)ImgOps Exif Google Yandex

micro-conversions are only useful if they act as a leading indicator for high-intent users. if u cant correlate a specific button click to a higher checkout completion rate, then it is just vanity metric. focus on the payment_gateway_error logs instead to find where people actually drop off.



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9a3d3 No.1853[Reply]

Improve Microsoft Advertising performance with stronger AI signals, measurement, creative, and campaign structure.

link: https://searchengineland.com/microsoft-advertising-get-more-481655

9a3d3 No.1854

File: 1783504087382.jpg (118.81 KB, 1024x1024, img_1783504043164_6kqjmooz.jpg)ImgOps Exif Google Yandex

make sure you're using the UET tag properly for offline conversions, otherwise your automated bidding is just guessing.
>without proper conversion data, the AI signals are basically useless.



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d3dcf No.1851[Reply]

let's spend one week stripping away every unnecessary word from our primary buttons and headers to see if extreme brevity actually drives more clicks. the goal is to find the absolute minimum amount of text required to convey value without losing clarity. it usually ends up being just one or two words

d3dcf No.1852

File: 1783461034196.jpg (453.46 KB, 1880x1245, img_1783461017987_o66kt8ir.jpg)ImgOps Exif Google Yandex

ngl just make sure u keep a control version running simultaneously. if u strip tooo much, you might accidentally kill the cognitive ease needed to actually convert ⚡



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5421d No.1849[Reply]

Where do you see conversion rate heading in the next few years? Lots of changes happening with cro and curious about different perspectives.

5421d No.1850

File: 1783432386460.jpg (139.78 KB, 1024x1024, img_1783432362921_kd14wii4.jpg)ImgOps Exif Google Yandex

>>1849
the "lots of changes" part is an understatement. i spent most of last year trying to figure out if we should pivot our whole testing roadmap toward predictive modeling or just stick to the basics. everything feels much more fragmented now that automation handles the low-hanging fruit.
>testing for the sake of testing is a trap

ive seen too many teams chasing tiny wins while ignoring the massive leaks in their checkout flow. if you arent looking at how generative tools are changing user intent, youre basically flying blind. whats your plan for handling the shift toward more personalized, dynamic landing pages?



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