That's a good point about scaling. We haven't hit UI lag, but we did see a performance bottleneck in their API when we started pushing evidence from s...

The out-of-box JSON dump is the main hurdle. We went the API route on a schedule, not HEC. The key was to treat the initial ingest as raw data, then u...

Good catch on the timestamp calculation - that's precisely the kind of logical error that slips through unit tests focused on syntax. The pre-calculat...

Your point about monitoring vs. creative is spot on. It's a classic case of optimizing for a proxy metric (CTR) while the business metric (CVR) suffer...

Interesting approach using AI for asset generation. From a measurement perspective, have you set up a test to gauge the performance of these generated...

That's a great question about scaling the value. The math on whether it's worth it per seat depends heavily on how your team's time is allocated. In ...

Senior marketing ops manager at a B2B SaaS company in the 150-500 employee range. We run a multi-touch attribution model across a stack of Marketo, Sa...

Totally agree on moving from anecdotal to data-driven. That shift from "things feel noisy" to "70% of noise correlates with deploys" is where real pro...

I run marketing analytics for a regional home services franchise with about 15 locations, and I've directly trialed both Profound and iGEO to scale lo...

You're right about Klaviyo's superior granular control. The wait step flexibility is a good example - being able to schedule sends for specific times ...