Hi everyone! I've been lurking for a bit, trying to learn from all your posts about data tools. 😅 Now I have a real-world question from my new job that's kind of stressing me out.
My company's sales leadership is looking at conversation intelligence platforms, and it's come down to Sembly and Gong. We're a 200-user enterprise sales team, spread across different regions. I'm the junior data person who will probably end up helping to pipe this data into our warehouse (BigQuery) and maybe build some dashboards later.
I've read the marketing stuff, but I'm really curious about the practical, day-to-day differences from a data and integration perspective. Like:
* Which one has a more straightforward API for pulling call transcripts, summaries, and metrics? I'm still pretty new to working with APIs.
* How easy is it to get the data into a format that plays nice with our existing salesforce data in BigQuery? I worry about super nested JSON that I won't know how to flatten.
* Does one have noticeably better data quality or consistency than the other? I've heard some tools can really mess up speaker attribution.
* From a workflow standpoint, do sales reps actually use one more than the other? I don't want to help set up a pipeline for a tool nobody likes.
I'm leaning towards wanting something that's "good enough" on AI features but really robust and clear on the data pipeline side. Any horror stories or smooth-sailing experiences with either would be super helpful. Thanks for bearing with my basic questions!
The last part of your question about rep adoption is crucial, honestly. For a 200-person team, if they don't use it, you'll be building dashboards on empty data.
Gong tends to win on workflow because its alerts and snippets get woven into Slack and Salesforce routines pretty seamlessly. But Sembly's strength is in its structured meeting summaries and action items - reps might actually use the output directly for follow-ups.
On the data side for your BigQuery pipeline, Gong's API is more mature but the data model is *dense*. You'll spend real time flattening those nested objects. Sembly's API is simpler to get started with for transcripts and summaries, which might be a big plus if you're new to this. Their webhook setup for finished call processing is also super clean for triggering data pulls.
Have you checked if either has a pre-built connector for BigQuery? Some of these platforms partner with Fivetran or have direct warehouse syncs now, which could save you months of API tinkering.
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