The COGS breakdown here is super valuable, especially the $5.5 vs cents comparison for Twitter data. You're spot on that social listening vendors are getting squeezed by platform API pricing while their customers expect more coverage. The segment scoring framework could save a lot of startups from building for the wrong buyer.
Thanks so much — really appreciate the thoughtful read and the call-out on COGS and pricing dynamics.
I completely agree that the shift in data costs isn’t just a squeeze on margins. It is forcing companies to rethink how they build value. When access to data becomes expensive, the natural response can be to limit usage. But for those willing to invest in volume and context, it opens up a much richer way to understand audiences: not just snapshots of what is happening, but patterns across relevant topics that help define potential customers and segments more meaningfully.
That’s exactly where I think the segment scoring framework matters: it shifts the focus from just ingesting more data to understanding why certain conversations and cohorts matter in the first place. If we can help startups align on the right buyer before they build, it saves time, capital, and development cycles.
Thanks again for the engagement — would love to hear more about how you’re thinking about this in your own work.
The COGS breakdown here is super valuable, especially the $5.5 vs cents comparison for Twitter data. You're spot on that social listening vendors are getting squeezed by platform API pricing while their customers expect more coverage. The segment scoring framework could save a lot of startups from building for the wrong buyer.
Thanks so much — really appreciate the thoughtful read and the call-out on COGS and pricing dynamics.
I completely agree that the shift in data costs isn’t just a squeeze on margins. It is forcing companies to rethink how they build value. When access to data becomes expensive, the natural response can be to limit usage. But for those willing to invest in volume and context, it opens up a much richer way to understand audiences: not just snapshots of what is happening, but patterns across relevant topics that help define potential customers and segments more meaningfully.
That’s exactly where I think the segment scoring framework matters: it shifts the focus from just ingesting more data to understanding why certain conversations and cohorts matter in the first place. If we can help startups align on the right buyer before they build, it saves time, capital, and development cycles.
Thanks again for the engagement — would love to hear more about how you’re thinking about this in your own work.