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.
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
@hoshang_m Congratulations on the launch!! ✨
This is really amazing and definitely helpful.
Like the straightforward design and categorization
Just one pointer--> For the tables make sure the column headers are complete, right now they are getting trimmed
All the best!!🙌
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
Congratulations on your launch! I'm looking forward to seeing how Plug & Play Data Templates revolutionize the world of data analytics. 🚀
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... & while each template's outcome is mentioned in text, and the SQL query is showcased below it. For a revops/analytics exec, this UX makes sense, but in a lot of cases, stakeholders who may not be friendly with SQL would discover the immediate value - the Aha moment. Have a potential alternative proposition:
For each category of templates - Marketing, Sales, Customer, Financial or Product - say there's an example ICP company (SaaS mid-sized) for which you have sample data (you can actually create a fictional business - Acme Enterprise Limited). For each template, any stakeholder or analytics exec can simply run the sample data with the query & see the results. Post that if analytics exec wants to deep dive into the SQL, they can do that.
This basically creates a closer feel of the product, you can even do a -> Signup in a single click, and edit the SQL queries with sample data (get the PLG velocity).
But, super good stuff @hoshang_m & team! Congrats on the launch, and I hope the community finds value with your templates library.
through all my professional life i am colleecting different cheat sheets and find this format very helpful to be efficient and learn faster. good that you also thinkg same and crwating such a collection. good luck!
Excited to pass this on to a few friends who have more pressing data management needs. Hopefully, they can give some great feedback to help you iterate. Congrats @hoshang_m and team!
congrats on the launch guys! looks like a ton of work went into this. Some points of feedback: looks like https://app.airbook.io/signin isn't scrollable so some of the buttons aren't visible on my desktop (had to zoom out). Some amount of guided onboarding with the templates might be nice. It can be a lot of text to read on the template pages. Great inspiration for a wide variety of analytics in these templates!
About Airbook's Plug & Play Data Templates on Product Hunt
“50+ actionable data templates with interactive SQL queries”
Airbook's Plug & Play Data Templates launched on Product Hunt on May 24th, 2023 and earned 329 upvotes and 119 comments, placing #8 on the daily leaderboard. 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.
Airbook's Plug & Play Data Templates was featured in Analytics (171.4k followers) on Product Hunt. Together, these topics include over 13.9k products, making this a competitive space to launch in.
Who hunted Airbook's Plug & Play Data Templates?
Airbook's Plug & Play Data Templates was hunted by Hoshang Mehta. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Airbook's Plug & Play Data Templates has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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