Audiences makes the power of SQL accessible to everyone. 1. Connect any data source like a database, data warehouse, or spreadsheet 2. Pull data with our point-and-click UI 3. Send data to 60+ tools, like Google Sheets, Slack, CRMs, email, & ad tools
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"The 'warehouse-native' framing is one of the clearest positioning moves in the data space in the last few years β it immediately signals who you're for and who you're not for. How are you thinking about the education layer? There's a whole generation of marketing ops people who've never worked directly with a data warehouse and find the concept more intimidating than it needs to be."
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Hunter
I worked with the Hightouch team when they were in the S19 batch 2 years ago! I have seen them grow as founders and as product creators
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@gustaf Wow! Great work here.
Looks like I might never need to remember all that SQL that I forgot over the years!
Hi everyone! π
Kashish, Tejas, and Josh here. We're the founders of Hightouch and very excited to show you Hightouch Audiences. Data used to be restricted to SQL users within a company, and syncing data was furthermore restricted to engineers.
Today that changes, our point and click UI lets anyone in a company build audiences and then sync those audiences to over 60 tools. Common workflows include sending ads to users who added a product to cart but did not by, sending email campaigns to re-engage users who downloaded an app but did not make an account, and so on - the possibilities are endless.
The product is built with marketing teams in mind, but useful for any user who wants to access and then sync data without SQL. The product is free to try, and you can sign up via the "Get it" link in this post!!
Please tell us what you think!
"The 'warehouse-native' framing is one of the clearest positioning moves in the data space in the last few years β it immediately signals who you're for and who you're not for. How are you thinking about the education layer? There's a whole generation of marketing ops people who've never worked directly with a data warehouse and find the concept more intimidating than it needs to be."
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