We cover 5 critical categories- Product Analytics, Customer Analytics, Sales Analytics, Marketing Analytics and Finance Analytics. Our data templates are a step-by-step walkthrough for 50+ use-cases with pre-baked, interactive SQL queries.
50+ actionable data templates with interactive SQL queries
We cover 5 critical categories- Product Analytics, Customer Analytics, Sales Analytics, Marketing Analytics and Finance Analytics. Our data templates are a step-by-step walkthrough for 50+ use-cases with pre-baked, interactive SQL queries.
Really excited to see that happening, good job!✨
I've been following Airbook for sometime now. The problem statement has a lot of potential. My team currently shuffles between Notion & Excel tables, while our Revops team is busy collating everything on BigQuery & processing reports there. If there's a solution which can process things directly on Notion, that's a huge collab plus! I went through the templates library and have some feedback. I went through the templates for marketing analytics https://app.airbook.io/published... & w
these are solid! are they available on GitHub (and/or open for PRs)?
As a Marketing peep myself i think template are a great idea, pretty handy to have everything in one place. Wish you the best <3
This is a very nifty piece of tool that will come in handy for teams when it comes to product analysis. All the templates were so meticulously written and works just as intended. This is easily a helpful tool to product and analytic teams, without a single doubt. Congratulations again, @hoshang_m
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.