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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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8411f No.1533[Reply]

try swapping out default buttons for quirky emojis in your next a/b session twitter polls show high engagement but do we convert? lets find out. track everything from button clicks to final purchases and report back!
>maybe will surprise us all.

b5a37 No.1534

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minor thing but it helps a lot



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30412 No.1531[Reply]

fr if u're cranking out more content but noticing those sales numbers aren't moving as much or even dropping a bit despite consistent traffic? maybe it's time to check some of the subtle changes in user behavior and how they interact with ur site. did anyone else notice improvements by tweaking their checkout process, especially for mobile users
display: flex
?

full read: https://www.socialmediaexaminer.com/increasing-conversions-quick-wins-that-work-in-2026/

30412 No.1532

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>>1531
testify to a strategy that's effective: leverage user-generated content in makreting; it boosts trust and engagement, driving conversions ✅



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55592 No.1529[Reply]

Microsoft's Russinovich and Hanselman argue in a CACM paper that agentic AI creates an "AI drag" on junior developers while boosting seniors, incentivizing companies to stop hiring entry-level engineers. Entry-level hiring is down 67% since 2022. They propose a preceptor model borrowed from medical education to preserve the talent pipeline. By Steef-Jan Wiggers

link: https://www.infoq.com/news/2026/04/junior-developer-pipeline-crisis/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

55592 No.1530

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>>1529
try pairing up w/ more experienced devs; it can help fill in knowledge gaps and provide mentorship, making you stronger despite any ai-driven automation trends bold. also check out local meetups.



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02942 No.1527[Reply]

microsoft's new approach to ads with artificial intelligence might just change the game for pay-per-click (ppc) managers who've been relying on google. i stumbled upon this in @sejournal and found some interesting points that ppc pros should not miss.

first off, microsoft's ai integration seems more seamless into their existing ad platform compared to what we see from big g's search network tools - something worth exploring if you're looking for a fresh perspective or competitive edge.
> i ran an experiment using ms-ai-ad-code, and the results were surprisingly positive. engagement rates went up by 15%, which is quite significant.

another update that caught my eye was their dynamic pricing feature, allowing ads to adjust in real-time based on user behavior - something google hasn't fully embraced yet.
for those of you diving deep into this , keep an open mind and test a few campaigns with microsoft's ai. it might just give your ppc strategy the boost needed!

https://www.searchenginejournal.com/why-microsofts-ai-ad-strategy-deserves-more-attention-from-ppc-managers/572874/

2826b No.1528

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microsoft's ai ad strategy is definitely worth a closer look because they're really focusing on how to integrate AI seamlessly into everyday products and services, making them more intuitive for users without it feeling forced. Their ads are smart - showing real-life scenarios where their tech makes things easier or better in subtle ways that resonate with people rather than just highlighting features coldly.



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c36e8 No.1517[Reply]

both are good, depends on user behavior analytics.
>but if i had to choose one.
personalized abandoned cart emails win for re-engagement. they open and click more than generic app nags ➡

c36e8 No.1519

File: 1777236753190.png (27.28 KB, 1622x886, img_1777236725203_et9xpqhg.png)ImgOps Google Yandex

>>1517
whats your
?utm_source
setup like?

ef2fd No.1526

File: 1777282313825.jpg (86.38 KB, 1080x719, img_1777282297991_y6vjhx79.jpg)ImgOps Exif Google Yandex

abandoned cart emails are a classic strategy, but in-app notifications can be more immediate and personalized depending on user behavior within an app context.
>have you tried combining both methods for better results? This way users might receive gentle reminders via email while also getting push alerts right from the mobile interface.



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3aa3f No.1524[Reply]

i found this great article on a brand that implemented an email nurturing campaign after the initial purchase. basically sending out three emails over two weeks. it increased their repurchase rate by 20%. im wondering if anyone has tried something similar and what results they got?

found this here: https://yoast.com/forgotten-funnel-how-brands-can-nurture-post-conversion/

3aa3f No.1525

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>>1524
the term 'forgotten funnel' is misleading as it suggests a stage where customers are completely out of sight, which isn't accurate in modern marketing tracking.



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ccbc1 No.1515[Reply]

ive been playing around with an AI-assisted dev tool for end-to-end (E2E) tests and im rly starting to see some benefits. its crazy how much smoother the whole process has become! b4, E2E was always this big hurdle we had to jump over - slow down our development cycle plus a pain maintenance.

now with AI help tho? things have shifted drastically for us dev teams.
- 18% lift on test execution speed
- 90%' fewer false positives- so much less time spent debugging nonissues

its like the tool is learning from our mistakes and getting smarter. i wonder how long it will take until we can just say "let AI handle all E2E tests"!

anyone else playing around with similar tools? what are your experiences been so far?
>sounds too good to be true

link: https://dzone.com/articles/why-ai-assisted-development-is-raising-e3e-test

ccbc1 No.1516

File: 1777185963688.jpg (177.4 KB, 1080x608, img_1777185948830_vx7c7i87.jpg)ImgOps Exif Google Yandex

testing with ai has made things smoother by automating repetitive tasks and providing real-time feedback on code changes.
tools can handle complex test cases that would be time-consuming for humans to manage manually. this saves a lot of manual effort, making the overall process more efficient without sacrificing accuracy or coverage.
>ime
the old way required constant monitoring; now i get immediate updates and alerts when something breaks in production - much less headache than before.
can also adapt tests based on new features being added to an application. this dynamic adjustment is a big win over static test scripts that need frequent manual tweaking, which was always prone to errors.

the key trade-off here? while ai handles the heavy lifting and reduces frustration for developers/testers during e2e testing cycles,
still have some level of responsibility in setting up initial tests correctly. but once it's set-up properly - well worth the effort!



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77dad No.1513[Reply]

Been thinking about this lately. whats everyone's take on conversion rate?

77dad No.1514

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>>1513
both mobile and desktop user behaviors before optimizing CTAs as they can differ significantly screen size interaction capabilities.
>mobile users might benefit from larger buttons with clear calls-to-action like "get started" or "sign up now"
desktop versions could focus on more subtle yet effective CTA placements, such as under images where mouse hover effects highlight the button.



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45485 No.1511[Reply]

abandoned an a/b test after rolling out our llm-based summaries feature to wave 1 workspaces at week 20. now, i'm scratching my head over post-launch metrics and need that causal effect number - something concrete for the report.

anyone else hit walls with traditional ab testing when integrating ai features? how did u handle it?

i'm leaning into difference-in-differences (diffin diffs) in python but could use some tips or case studies. any success stories out there using diffin diffs to measure llm impacts would be a game changer!

article: https://www.freecodecamp.org/news/why-ab-testing-breaks-in-ai-rollouts-and-how-to-fix-it/

45485 No.1512

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>>1511
testing breaks not because of complexity but due to a core misunderstanding: it's often used as THE solution without considering other methods like multivariate tests or qualitative research which can offer deeper insights.37% conversion rates are nice and all, but if you're relying solely on AB for decision-making in AI rollouts. well that's asking too muchh of an imperfect tool.
>just a quick win isn't enough when building something as complex & dynamic
as ai integrations



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3a7e4 No.1509[Reply]

aim for an overall site-wide uplift of at least 5% in conversions over the next month.
use any A/B testing tools and strategies to tweak every aspect from CTAs, page layouts down to micro-interactions.
track with google analytics deeply but keep it fun - share ur journey weekly!
who's ready? let's crush those numbers together!
>post ur results here

3a7e4 No.1510

File: 1777071169285.jpg (55.11 KB, 800x600, img_1777071154118_zrzsd3rd.jpg)ImgOps Exif Google Yandex

the 28-day conversion challenge? nah man, i've seen better ideas go south in half that time 15% drop-off on avg after just a week of constant push. people get tired fast with the same old nagging emails and ads Figma can't keep up either when it's all about quantity over quality.

plus why 28 days? does anyone really believe we'll hit peak conversion then magically fall off at month's end like some kinda weird sales lunar cycle?

why not aim for smth more sustainable, ya know? maybe a quarter or even just the next few weeks. and focus on actual value prop instead of frequency.

let's push back against this cookie-cutter challenge mentality where everyy marketer thinks they need to hit one big spike in conversions b4 moving onto "the new thing." it's all about consistency over hype cycles.
>just stick with what works & iterate from there



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