/case/ - Case Studies

it's honestly kind of wild how much they're leaning into these generative models to bridge the gap for new ads that don't have any history yet. i was just looking at how their gem system is supposedly processing way more signals now to predict relevance, which sounds great for the bottom line but it makes me wonder about the transparency of the user experience.
>even with brand-new ads with little engagement history
seeing that 15.7% uplift in conversions on facebook makes it seem like the andromeda updates are doing some heavy lifting behind the scenes with product matching. i just worry that as they automate all this targeting through generative retrieval, we're going to lose that sense of intentionality in what users actually see in their feeds. do you think these automated matches are actually hitting user intent or just exploiting patterns in engagement?

https://www.socialmediatoday.com/news/meta-says-its-expanded-processing-capacity-is-driving-ad-results/873133/

had this issue where leads were sitting in 'new' for days because the workflow only updated the status but not when it actually happened. i started using a simple sql trigger on the database side to always update a modified_at column whenever the status field changes. it's much more reliable than relying on the app layer to handle the timestamp correctly every single time.

CREATE TRIGGER update_lead_timestampBEFORE UPDATE ON leadsFOR EACH ROWBEGINIF NEW.status <> OLD.status THENSET NEW.updated_at = NOW();END IF;END;

does anyone else trust the app logic for these kinds of timestamps?

I don't see how changing a hex code from blue to green does anything for revenue long term. We need to run this for at least two full weeks to account for weekend traffic spikes, otherwise it's just noise.

found this weird case where a barbershop had 250+ reviews and great backlinks but couldn't rank because of that located in tag pointing to a closed building. it's pretty wild that all that off-page work doesn't matter if the profile is linked to some permanently closed storefront. i wonder how much time we're wasting checking citations when we should be looking for these ghost connections. anyone else seeing weird location inheritance lately?

https://localsearchforum.com/threads/before-and-after-results-of-removing-the-located-in-feature-on-a-gmb-profile.63340/

been seeing way too many bloated onboarding flows lately lol. instead of building massive in-app tours that nobody reads, i just use custom attributes to trigger a single, tiny tooltip. if the user hasn't hit their first 'save' action within 24 hours, i trigger a specific message via intercom based on that attribute change. it makes the whole thing feel personalized rather than like some annoying automated script. saves so much dev time since we aren't constantly deploying new tour steps or complex massive logic trees. it's basically just lazy engineering disguised as ux but it works every single time.

Seeing some weird stuff with search URLs lately. Looks like the num=100 parameter is showing up again for some people. Google pulled this back in September to stop scrapers, but it's popping up in recent URL strings.
> there were 99 organic results showing
I tried to replicate this on my end but nothing changed. It's possible they're rolling it out slowly or their scraping protections are just working better now. Some reports also mention links might be bypassing old workarounds, which is going to mess with rank trackers. If I can actually get 100 results per page again, it'll make manual audits way less of a headache. Still not seeing it in my browser though. Hopefully it's not just a fluke or some weird cached behavior. Just need to keep an eye on how this affects our automated scraping scripts.

found this here: https://www.seroundtable.com/google-search-100-search-results-parameter-back-42423.html

I was looking at some stuff for our next campaign and ran into this guide on tracking creator performance. It's all about setting specific targets before you even start the live part of the campaign.
>pick which creators to rebook
That sounds great in theory, but I can't imagine how much work that is when you're managing twenty different feeds at once. Using analytics to steer things mid-campaign seems like a massive time sink for us. I'm already drowning in spreadsheets from last week's rollout. It would be nice if it was automatic actually easy, but I doubt these metrics will save me from the manual checking. **I'll probably just keep using my notes

more here: https://blog-cms.socialinsider.io/social-media-influencer-analytics/

i've been seeing too many devs trying to manage checkout state in the main postgres db. it's bloating the tables with abandoned carts that nobody ever comes back to. better to just use a ttl on a redis key so it cleans itself up automatically. if the user hasn't finished the payment within an hour, the data is gone and the db stays clean. never store transient session data in your primary relational store.

SETEX checkout_session:user_123 3600 '{"items": [45, 99], "total": 120.50}'

it's basically free cleanup work for the engine. it works fine as long as you don't need that data for long-term analytics later. anyone else still using postgres for temporary cart states?

i've been looking at some of our older lists lately. it's a mess. we kept running the same flows but the actual engagement was dropping because we weren't purging anyone. i decided to try something different this week. i'm going to intentionally exclude anyone who hasn't clicked an email in ninety days from all my main campaigns. usually, people say you should keep them for the reach, but it's just hurting our deliverability.
>i'll just keep sending to everyone
that logic is exactly what leads to the spam folder. i want to see if we can actually lift the open rates by being more aggressive with the removals. it's a risky move since the list size will obviously shrink fast. i'm tracking the bounce rate specifically for this group. if the sender reputation stays clean, i might just make it a permanent rule. has anyone else tried trimming their segments based on click activity instead of just opens?

it's such a waste of time trying to sync everything in real-time when you could just use a delay until step instead. i've seen so many messy automation builds where people try to trigger actions the second a property changes but it just creates these weird race conditions. don't rely on instant triggers for anything that needs data from a secondary integration because it'll always break. does anyone actually use the immediate execution setting for complex branching?