We help teams who rely on data to capture clean, consistent analytics they can trust.
Joined April 2010
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12 May 2021
Weβre extremely excited to announce that Iteratively is joining @Amplitude_HQ ππ In Amplitude we see an ally in the pursuit to solve the acute pain points around data quality and we couldnβt be more thrilled about this next chapter of Iteratively π buff.ly/3hlOYEO
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18 May 2021
Iteratively is part of @Amplitude_HQ β now what's next for us? Join the live Q&A tomorrow where Ondrej & Patrick will share more about their strategic vision together with Amplitude: info.amplitude.com/amplitudeβ¦
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12 May 2021
π€©π€©π€©
12 May 2021
Data quality is the largest blocker to successfully using Product Analytics. I'm excited to announce we've acquired Iteratively to help all Amplitude customers with data governance and quality. techcrunch.com/2021/05/12/am⦠Welcome @iteratively @patrickt010 @ondrej421 to Amplitude!
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Iteratively, an Amplitude Company retweeted
12 May 2021
βAs we spoke to our customers, we consistently heard from them the importance of proactively and continuously increasing the quality of data." Our own @justinjbauer shares more on our acquisition of @iteratively. Read it in @TechCrunch @fredericl
12 May 2021
Amplitude acquires Iteratively tcrn.ch/3y4jxoc by @fredericl
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12 May 2021
We're super excited too π Thank you for the warm welcome!
12 May 2021
Data is only useful if you can trust it. Weβre excited to announce the acquisition of @iteratively, a data planning solution that eliminates human error during analytics instrumentation. Read more and give a warm welcome to our newest #Ampliteers π bit.ly/3eHmOSK
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22 Apr 2021
We enjoyed this too. Great inspiration for data-led startups to get up and running quickly!
22 Apr 2021
Check out this nice write-up on their product-led growth stack from our customer Jonathan Sanders from Juni - linkedin.com/pulse/no-code-dβ¦
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21 Apr 2021
This is a must read from @emilieschario and @tayloramurphy on why you should run your data team like a product team (and avoid the death spiral of becoming/remaining a reactive services team): buff.ly/3grtCVZ π π π
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20 Apr 2021
We can't wait for this to go live π€©
20 Apr 2021
π€© LIVE on April 22nd:
@dataledpodcast: #WebAnalytics vs. #ProductAnalytics,
And The Data That Powers Them
π Ft. special guest, Patrick Thompson, Co-Founder of @iteratively π
Catch the latest episode here:
bit.ly/3svDPD0
#datacollectiontool #customerdata
19 Apr 2021
Totally! @RudderStack Iteratively = π
19 Apr 2021
Hi @ezramechaber, a few notes from RudderStack the team π:
- RudderStack @iteratively = power combo
- RudderStack pipelines are bi-directional (we support Reverse ETL)
Thanks for the getting this convo started!
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13 Apr 2021
Missing tracking? Fail the build βοΈHere's our take on how you can make event tracking a more integrated part of your release process: buff.ly/3cyHbPH
12 Apr 2021
Lots of great speakers at this one π
12 Apr 2021
Today is the beginning of our week-long Operational Analytics Conf π
First session is at 6pm PT and we will discuss the next generation of data w/
π Barr Mosses - @montecarlodata
π @martin_casado - A16Z
π’ @frasergeorgew - @Fivetran
Add to your cal hubs.la/H0K_1DX0
We really enjoyed this interview with @episod from @SlackHQ. Full of learnings we can adopt here at Iteratively π€©
8 Apr 2021
π¨ Today we're thrilled to introduce a new content series: Masters of Product Change!
And what better way to kick off this series than with 10 question for @episod, the Director of Developer Relations Education at @SlackHQ?! π
launchnotes.com/blog/mastersβ¦
@SlackAPI #launchawesome
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It's official, we're SOC 2 compliant πβ‘οΈYou can read more about what this means for you on our blog: buff.ly/2Q5hSNE. And thanks to @DrataHQ for guiding us along the way π
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Want to get started with #PLG but drowning in an ocean of tools? Here's a look inside our PLG stack and some thoughts on what has worked for us so far: buff.ly/2Q68lpq
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Who owns the tracking plan in your company?
Here's what we found from speaking to more than 400 data and product teams (a thread):
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π©βπ» PMs should be the main driver and ensure analytics tracking is part of every feature release. Depending on your team size, this could be one or more product managers or a dedicated product analyst. They should be held accountable for tracking as a part of their role and OKRs.
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