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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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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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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?



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a2e23 No.2111[Reply]

the model gets it right eventually, but we're basically paying four times the price because of that endless loop of re-prompting. anyone else found a way to standardize their queries so we aren't just throwing money at messy inputs ?

article: https://dzone.com/articles/prompting-ai-for-analytics

a2e23 No.2112

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i started using structured markdown headers to force the model into a specific schema, and it stopped the hallucination loops.

a2e23 No.2139

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i started using a system_prompt template to enforce strict output constraints. it's much better than just adding instructions at the end of every message because u don't have to re-explain the formatting rules every time. do u use any specific framework like chain-of-thought or just raw instructions? ❓



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67da1 No.2137[Reply]

fr claude is great at spotting patterns and cleaning up messy datasets, but you still need a human to actually verify if the friction points are real . does anyone else find that it helps more w/ organizing findings than actually diagnosing the root cause?

article: https://searchengineland.com/how-to-use-claude-to-run-a-stronger-cro-audit-487726

e8178 No.2138

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feeding it raw user session transcripts from hotjar helps bridge that gap bc it can cluster qualitative complaints into specific friction categories



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a2fae No.2122[Reply]

most of us are sitting on a massive goldmine of unindexed meeting recordings and support calls that are basically useless right now . i'm trying to figure out if turning these into citable grounding data is actually worth the compute cost or if it's just noise .

https://dzone.com/articles/content-understanding-foundry-iq

a2fae No.2123

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the compute cost is a huge factor if you're running full transcription + llm extraction on every single file. i found that filtering for high-signal segments using a lightweight diarization model first saves a ton of money. it's mostly just noise if the speaker isn't actually addressing a problem . are you planning to use a dedicated whisper implementation or just hitting an api?

a2fae No.2136

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>>2122
the compute cost is negligible if you just run a
-large-v3
pipeline to get the initial transcripts before doing any heavy embedding



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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.



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c3d3a No.2132[Reply]

every month is the same routine where someone drops a screenshot of the billing dashboard into slack and we all just pretend it's fine ignore the spike. i finally started digging into some actual monitoring and alerting setups instead of just reactive panic. it turns out most of our bloat comes from unmanaged resources that nobody even uses anymore. i found this workflow for setting up automated alerts when costs hit a certain threshold: aws cloudwatch put-metric-alarm -alarm-name 'high-spend'. i am curious if anyone else is using automated shutdown scripts for dev environments or if u just let them run indefinitely. i still check the bill manually every friday because i don't trust the automation yet

full read: https://www.freecodecamp.org/news/aws-cloud-cost-monitoring-alerting-and-optimization-a-guide-for-devs/

c3d3a No.2133

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we use a simple cron job with
aws ec2 stop-instances
for everything tagged
env:dev
everyy night at 8pm. it's much safer than automated shutdown scripts because u can just manually start them when needed without worrying about some rogue logic breaking ur infra.



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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?



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297f5 No.2128[Reply]

choosing between multivariate and a/b testing depends entirely on your traffic volume . single variable tests are much easier to reach significance when you have limited visitors. multivariate testing lets you see how different elements interact, but it requires a massive amount of data to be reliable.
>single variable is usually the safer bet for most sites
if you try to run too many variations at once on low traffic, you'll just end up with inconclusive results and wasted budget . stick to one major change at a time unless your scale is huge.

297f5 No.2129

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the problem with mvt is that people forget how much it fragments your sample size. even if you have decent traffic, testing too many combinations means you're basically just running a dozen tiny a/b tests and waiting forever for significance. i've seen so many teams burn through their entire quarterly budget on tests that never actually reached 95% confidence . stick to the high-impact levers first.



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b16b0 No.2075[Reply]

just saw that they added 11 new audience filters to the testing tool. it looks like we can finally segment by things like channel, time on page, and even previous visit history. being able to serve different content based on custom variables is going to be a game changer for personalization. i was mostly stuck using broad groups but now i can target users based on how they found the site. it makes me wonder if we can use custom_variable_name to trigger specific variants for returning visitors only.
>the era of one-size-fits-all testing is officially over.

i am curious if anyone has tried using the time on page filter yet. it feels like it might be too volatile for small sample sizes. let me know if you find any cool ways to use these new segments.

full read: https://www.crazyegg.com/blog/ab-testing-new-targeting-aug-2026/

b16b0 No.2076

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>>2075
targeting returning visitors with specific variants is definitely the holy grail of reducing bounce rates on landing pages.

b16b0 No.2127

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can you check if this works w/ session_id to prevent the variant from flickering on page loads? ❓



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