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We faced our first Modern Data Stack architecture questioning while helping our Marketing team acquisition process. Read more to see how we fixed it!
We recently faced our first Modern Data Stack architecture questioning at Husprey! We're about to release a new onboard emails sequence (ETA end of the week!) while this is something that we did in the past and that all companies face very early on, we faced some common pitfalls that I wanted to share with you.
While our acquisition is getting better we wanted to support it with a great onboarding emailing sequence. Goal is to activate new users and improve conversion from test to continuous use. We discovered that there were key adjacent actions to make this happen:
Finally, our conviction is that in order for this to happen we needed to personalize those emails to each users. Has someone connected a sample data source to try out? Or a private internal one? Has someone invited some colleagues? Emails can be personalized depending on specific users' attributes.
The shortest path to achieve this could have been to ask the dev team to code something directly in our application sending email through an api. This solution would be easy to implement right now while most probably very costly to maintain, bringing all the issues the Modern Data Stack is fighting against.
First on the list, the separation of concerns.
Modern Data Stack often needs an initial tractive effort to Extract and Load data from various sources to a central data warehouse.
However, once setup is behind, it gives flexibility for data teams (or advanced business users in smaller teams) to make sure user attributes and various aggregations can be updated — (the Transformation part). This becomes the single source of truth that can be synced to many downstream tools (CRMs, Segmentation, Emailing, ...). This is the reverse-ETL part.
Second, the autonomy of non-technical teams. Once data flows back to business tools action and decision is easier. For example, a Marketer can now change wordings, run tests without bothering a developer. #iykyk
When content is embedded in the code, it is very often a pain to update
So the Modern Data Stack is a great place to start even for small project to spur autonomy in the team and ensures a separate of concerns for dev, business (and data) teams.
So we did just that. We computed the right aggregates for our (awesome) users and now the data flows back to our emailing system.
But then, we faced a small architectural hiccup. Our ELT operations were running on a schedule. Our reverse-ETL on a different schedule and finally our emailing on a third schedule.
That uncontrolled waterfall led to outdated data being pushed in our test emails. Customer experience issues directly coming from a data quality issues.
Everything to keep me up at night.
There are plenty of solutions that could specifically answer our problem. The question is how quickly we could come up with one while limiting maintenance costs and risks.
The solution:
1/ Force first onboarding email to be sent right away by sending limited set of user information from our backend application right at signup.
2/ Synchronize email sendings right after ELT and reverse ELT syncs.
This solution is easy to implement but has 3 caveats:
And tada, new onboarding sequence to be sent by the end of the week. Data collaboration at its finest.
If you aren't a Husprey user yet, feel free to create an account and receive this new onboarding sequence. We hope it will be concise but impactful.