/conv/ - Conversion Rate

been seeing too many people testing newsletter modals on every single page load. if you're running an A/B test on a popup, use this to make sure it doesn't annoy the user back into leaving.

const popupShown = sessionStorage.getItem('popup_seen');if (!popupShown) {showModal();sessionStorage.setItem('popup_seen', 'true');}

it's better to just hide it once they've seen the variant. does anyone actually use cookies for this anymore?

been seeing way too many people rely on generic click listeners that fire before the actual conversion tag even loads. it's messy and usually results in missing undercounting your real wins. if you're tracking a specific checkout button, just hardcode the trigger directly into the onclick attribute or use a custom event call right after the logic fires. it's much more reliable than waiting for some global listener to catch a bubbling event.

gtag('event', 'conversion', {'send_to': 'AW-123456789/AbC-D_eFGhiJkLmNoP','value': 1.0,'currency': 'USD'});

use this when you have a high-value element that shouldn't be left to chance by some generic script. does anyone else still trust generic click tracking for primary buttons?

tried running a quick color swap on a client's hero button using 'vwo' instead of our usual setup. it's way faster to deploy when you don't need complex audience segmentation or heavy scripts. honestly, if you're just testing a single element, the extra weight of 'optimizely' feels like overkill and totally kills my page load metrics.

i've been thinking about how much we rely on before-and-after traffic data when it's really impossible to tell if an algorithm update or seasonal shifts caused the lift.
>uses the control group to estimate what would have happened without the change
it sounds great in theory, but i wonder how hard it is to actually find enough statistically similar pages to run a split like this without messing up the organic crawl budget. the idea of using credible intervals to prove cause and effect seems way more reliable than our usual manual messy trend monitoring, but i'm skeptical about the scale needed for it to be meaningful.

more here: https://www.searchpilot.com/resources/blog/the-math-behind-searchpilot-how-seo-ab-testing-actually-works

i'm kind of relieved because clicking through that view all button every single time was such a drag when i'm trying to audit account goals. seeing the primary and secondary status right there in the submenu makes it much easier to spot mistakes before they mess up our tracking. it's also pretty handy having the repeat rate and last seen columns visible without digging around so much. i wonder if this is going to make the interface feel too cluttered though since everything is being pushed into one view now. it feels like google is just trying to cram more data onto the main screen to keep us from leaving. has anyone noticed any weird discrepancies in the click through windows since they rolled this out?

found this here: https://www.seroundtable.com/google-ads-all-conversions-tab-live-42395.html

it's so true that ad platforms are way too generous with their reporting compared to what's actually in the crm. i also hate how people ignore device splits when desktop is usually converting way better than mobile. does anyone else actually bother checking for zero percent conversion segments by country or do you just assume it's a tracking bug?

more here: https://www.crazyegg.com/blog/landing-page-optimization/

adding that extra shadow to the nav when scrolling makes the content look way too messy on smaller screens. i tried it for a client last week and the drop shadow just felt like heavy grease over the text. does anyone actually find the depth helpful or is it just clutter?

been looking at some client sites lately and most of them are using that light grey text on white background nonsense. it's fine unreadable for anyone not squinting at a high-end monitor. has anyone actually tested changing the footer links to a higher contrast?

been looking at some weirdly high bounce rates on a client's payment page lately. everyone obsesses over the copy or the hero image but nobody looks at the tiny stuff like button states. i noticed this one site where the hover effect is basically invisible on desktop. it makes the whole interface feel broken or unresponsive. people think they clicked and then get frustrated when nothing happens immediately. let's try something simple this week. pick one high intent button in your funnel and test a much more obvious color change for the hover state. just something that screams back at the user. i don't care about big multi page redesigns right now. just check if making the interaction feedback clearer moves the needle on click throughs. might be a tiny win but usually these small friction points add up lol. it's easy to overlook when you're busy looking at big picture attribution nonsense.

delphine's using ai to read test details and check screenshots now. sounds like a lot of extra noise just to avoid writing a simple summary. she even has it tailoring reports for different stakeholders by changing the focus from figures to outcomes. personally i don't see how that helps much when you already know what the data means. im pretty sure most of us just want the truth without some bot adding fluff.
>it analyzes my results, reads my test details, checks my test screenshots, and even reviews my previous test iterations.
seems like a massive way to automate useful unnecessary work. if i have to read an ai-generated version of a report that's just been sanitized for a product manager, im out. it's basically just another layer of abstraction between the actual data and the decision makers. it's just more junk in the inbox anyway. ime seeing this trend everywhere but it feels like we're losing the raw signal.

article: https://www.convert.com/blog/optimization/think-like-cro-pro-delphine-finders-binje/