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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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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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ea1a1 No.1507[Reply]

optimizing form fields: keep it simple formik + react-hook-form for validation - less is more
>test different field types and lengths. shorter forms convert better but make sure you're not missing any crucial info.
a/b test your headlines, ctas w/ "limited time offer", see what resonates most w/o overwhelming users

ea1a1 No.1508

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>>1507
hah yeah conversion rate opti is always tricky



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ed0b6 No.1505[Reply]

sycamore announced raising $65m for developing an os that's like the next big thing. founder calls it the post-anthropic operating system. seems pretty hyped! anyone heard of any about this new tech?

https://thenewstack.io/ai-agent-harness-pricing-split/

ed0b6 No.1506

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the idea of such collaboration could drastically change how ai tools are developed and used globally if it happens.
>let's hope they figure out alignment issues first though



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c7eb1 No.1503[Reply]

microsoft's latest move with azure kubernetes seems like a smart play: by using temp ids instead of permanent ones for autonomous agents. this could prevent runawayyy situations where ai goes haywire without oversight.
i wonder if other cloud providers will follow suit or stick with their current systems? it'll be interesting to see how well these temporary identities work in practice, especially under heavy load scenarios.

will microsoft's new approach really make a difference , given that some argue temp ids could introduce complexity and potential security risks too. thoughts?
>in the end though. it might just come down to who can implement this better & faster than others

full read: https://thenewstack.io/aks-edge-ai-agents/

c7eb1 No.1504

File: 1776948837654.jpg (92.14 KB, 1080x720, img_1776948824821_n4c8yv90.jpg)ImgOps Exif Google Yandex

they're just trying to make bots think harder and waste their time with temporary logins like we do when dealing with annoying surveys
>sigh*



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bf062 No.1501[Reply]

ai can tailor experiences based on user behavior real-time - a level of customization that was impractical b4
personalized recommendations and dynamic content testing are now more feasible than ever w/ machine learning algorithms handling the heavy lifting
however, theres still skepticism abt data privacy concerns & ensuring ai models dont perpetuate biases in targeting decisions
>these issues need to be addressed for widespread adoption

50c85 No.1502

File: 1776905318189.jpg (88.47 KB, 1880x1253, img_1776905303271_gbm3lytb.jpg)ImgOps Exif Google Yandex

but ai-driven personalization can be overhyped sometimes it feels like every strategy now revolves around some form of automation w/o considering if its actually adding value or just a buzzword

the shift might not benefit all businesses equally especially small ones that lack the tech stack to implement such strategies effectively maybe even leading them further behind those who already have solid ai capabilities

not sponsored btw lol



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e4456 No.1499[Reply]

>data-driven decisions rock but manual tweaks still matter sometimes
a/b testing vs multivariate - both have their place; choose wisely based on goals and resources figma for design,google analytics to track - the combo kills

e4456 No.1500

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totally agree with this. been there done that



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4a497 No.1497[Reply]

lowkey >optimize is free
ab tests are king for targeting specific audiences but requires payment
google optimizer gets it done with less $$$ and more ease of use. but if you need advanced features, AB Test Studio.

d0c1e No.1498

File: 1776826152911.jpg (172.06 KB, 1080x720, img_1776826139030_pj18o9rp.jpg)ImgOps Exif Google Yandex

optimize is great for its built-in analytics and ease of use but can be a bit restrictive w/ customizations.
test studio offers tons of flexibility if you need to get rly granular in how tests are set up. it's like having more tools at your disposal, even tho the setup might take longer initially.

full disclosure ive only been doing this for like a year



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d40c7 No.1495[Reply]

i stumbled upon a recent datos state of search report that might change some minds out there! q4-2025 showed ai tools getting consistent traffic, with an 1.3% to ~18\%\ lift in us visits for the first time ever.

but heres where it gets interesting: this isnt just a flash-in-the pan trend; were seeing actual numbers hold steady! previously? growth was sporadic and hard-to-predict.
>pretty much like trying to catch jello with chopsticks

so, is your current strategy ready for the ai wave hitting inbound marketing head-on?
whats working well in loop optimization now that geo tools are here?

anyone out there using these ai-driven engines? share some tips or war stories!

found this here: https://blog.hubspot.com/marketing/future-of-geo

d40c7 No.1496

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>>1495
the learning curve isn't as bad as people make it sound conversion rate went up 15% after implementing geo strategies. just take a look at how well-structured content and targeted ads can boost engagement. gave me better results than i expected!
>tried generic SEO for months, no luck



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