Case Study
How Pear Commerce Turned Data Bottlenecks Into Happy Customers
Company
Pear Commerce
Industry
SaaS / Retail Technology
Function
Data & Analytics
Scale
Hundreds of millions of rows daily
10x
Dashboard performance improvement
99%
Queries under 2 seconds
Billions
Records processed monthly
The Challenge
Pear Commerce is transforming how brands connect with retailers and consumers by enabling seamless path-to-purchases online. As a fast-growing SaaS company handling vast amounts of transaction and marketing data, they needed an analytics infrastructure that could scale.
Like many high-growth B2B SaaS companies, they faced increasing challenges with data processing, dashboard performance, and marketing attribution. Their engineering team was finding themselves having to spend their time optimizing queries against fast growing data sets instead of building new features. Understanding the true cost per customer acquisition (CAC) beyond just cost per lead was a struggle. Unlocking new revenue opportunities from their vast inventory dataset required a more efficient data foundation.
With customer experience and internal efficiency at stake, Pear Commerce partnered with Datajolt to centralize their data, optimize digital marketing performance, and free up engineering resources for growth.
The Hidden Problem
When we started working with Pear Commerce, we didn't lead with assumptions. We led with questions. Where was engineering time being spent? What was slowing down the dashboards? Why couldn't marketing connect spend to outcomes?
The answers revealed a pattern we see in many high-growth SaaS companies: systems that worked at one scale were breaking at the next.
What the data audit revealed
- 01Data overload — processing hundreds of millions of rows daily, with data growing exponentially
- 02Performance bottlenecks — internal queries on the production database took enormous amounts of optimizations to avoid being painfully slow, impacting the client dashboard experience
- 03Engineering drain — engineers spent significant time troubleshooting and fixing dashboard issues, slowing down product innovation
- 04Marketing blind spots — disconnected digital marketing and CRM systems made it difficult to measure true cost per customer acquisition, limiting strategic decision-making
The Data Platform We Built
Identifying the problem is step one. Building the infrastructure to solve it — permanently — is where the real value lives. Here's what we built for Pear Commerce:
Centralized Data in Snowflake
Integrated MySQL, HubSpot, Google Ads, LinkedIn Ads, Maxio, QuickBooks, and other key sources into one unified data warehouse.
End-to-End Marketing Attribution Pipelines
Enabled blended marketing analytics, revealing the true ROI on digital ad spend by linking lead sources with CRM and sales data.
Client Dashboard Migration to Snowflake
Replaced slow MySQL queries with high-performance Snowflake processing, drastically improving dashboard speed.
Tableau-Powered Reporting
Connected Sales, Marketing, and Finance data into clear, actionable reports that executives and teams could trust.
Working with Datajolt had a significant impact in a short period of time. We migrated our client dashboard to Snowflake which led to a 10x performance improvement, eliminating the need for our engineers to troubleshoot slow queries. Datajolt helped us fully understand the ROI of our digital marketing spend, allowing us to make strategy shifts in real-time instead of waiting for end of month reports. Our department-wide reporting improved dramatically, and now one employee manages our entire analytics infrastructure, instead of needing a full team. Datajolt is now processing billions of records monthly as we explore exciting new revenue opportunities.
Ian Lavey
Head of Operations, Pear Commerce
The Results
10x
Dashboard performance improvement
99%
of queries now under 2 seconds
Billions
Records processed monthly
1 Person
Now manages entire analytics infrastructure
What's Next
With a scalable data foundation in place, Pear Commerce is now positioned to unlock new revenue opportunities from their vast inventory dataset. The infrastructure we built isn't just solving today's problems — it's enabling tomorrow's growth.
That's the thing about a data platform done right: it doesn't just fix what's broken. It creates the foundation for everything that comes next.
Does this sound familiar?
Struggling with large-scale data processing, unclear marketing ROI, or dashboards that can't keep up? Let's talk about building a data foundation that scales with your business.
“When Datajolt showed us the $1.8 million number, it changed how we thought about the entire operation.”
Alex Penza, Pinto Brothers Produce