Blueland Saves Time & Money, Makes Data-Driven Decisions with Daasity

How the beloved eco-CPG brand leverages Daasity for robust analytics that drive the brand forward

Daasity helps support all of it: DTC, Amazon, omnichannel.

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Josh Knopman, VP of Growth & Digital Product @ Blueland

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Industry

Consumer Goods

platform

Shopify Plus

Notable Integrations

Amazon Seller Central, GA4, Amazon Ads, ReCharge

Challenge

Large amount of time spent on manual data work; not having accurate and flexible view into KPIs to benchmark, identify problems/trends

Results

50+ hours/month saved on manual data work

Tens of thousands of dollars saved in data team costs

Leveled up Amazon analytics via Daasity’s robust Amazon integrations

Data Challenges

Before working with Daasity, the Blueland team had a mix of manual reporting plus a custom data model that was difficult to maintain and lacked many data sources. Blueland was looking for a data solution that could not only automate some of the manual data and reporting work but enable the brand to build a customized analytical environment that keeps up with their substantial growth.

In terms of time savings, it’s been massive for us. We automate reporting internally, for our executive team, our vendor partners, and more recently, a media mix modeling tool to ingest the data there. That alone has saved dozens and dozens of hours per month.

-Josh Knopman

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Data Solutions

Since partnering with Daasity, Blueland has leveraged the platform for a variety of use cases, to expand the brand and improve internal processes:

Scaling Subscription: "Daasity enabled a new level of granular reporting, allowing us to track Subscription Adoption & Churn by customer type and by product. We use that information to optimize website merchandising, subscription assortments, custom cancellation flows, and more."
Scaling on Amazon: Getting full catalog on Amazon, increasing revenue, comparing Amazon vs. DTC performance, uncovering insights around purchase behavior‍
Saving data analyst’s time: No more focus on data hygiene and pipelines—focused instead on rich analyses that identify opps and help make business decisions

Further, the Blueland team has built substantially on Daasity’s data model to create the exact metrics, definitions, and analytics it requires.

But we’ll let Josh explain:

We use Daasity’s Amazon integrations to identify trends and opportunities, then use those insights to inform our assortment strategy to drive higher upfront AOV, and by extension, LTR. Our board members were blown away by our level of data sophistication for Amazon, and we’re just getting started.

-Josh Knopman

Daasity’s core data model is incredible, and we’ve built on it. For example, a new definition of DTC cohorts, refining definitions of Blended CAC and Blended ROAS, or ingesting additional data sources in a flexible way. It’s been key for us in the last year to year-and-a-half as a business.

-Josh Knopman

The Results

With a centralized source of truth around their data, extra hours back every week, and the ability to focus on insights, the Blueland team is making data-driven decisions every day that accelerate an already extraordinary growth story. We can say, truly, that Blueland is making the world a better place.

Here’s to unplasticing the world.

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Daasity has made a massive difference in helping us focus on key elements of our business: metrics that matter, identifying issues and opportunities, and driving the strategy of our business to ensure that we’re making truly impactful decisions.

-Josh Knopman