About
At The Perfect Jean, Ovadia Labaton wanted the business to run on unit economics, not vanity metrics. But when data is scattered across platforms, it’s hard to tie profitability decisions back to what customers actually bought, returned, and did next.
SourceMedium gave the team a centralized way to dig into order and return behavior, so decisions stayed simple, actionable, and grounded in real patterns.
The Perfect Jean is a DTC apparel brand founded in 2019 with a bias toward cash-flow-positive growth.
The challenge
- Unit economics decisions depended on understanding returns and post-purchase behavior, not just topline sales
- Data lived across multiple marketing and sales platforms, making “what changed?” hard to answer quickly
- Without one baseline, metrics drifted and decisions risked becoming vibes-based
As the business grew, the team wanted to avoid drowning in vanity metrics. Ovadia’s view is simple: calculate unit economics down to the penny and eliminate complexity so decisions stay tied to profitability.
But doing that in practice is hard when your data is scattered across marketing and sales platforms, and when returns and post-purchase behavior don’t show up cleanly in one place.
The solution
- Centralized cross-referencing across systems to connect orders, returns, and downstream behavior
- A shared reporting workflow that made patterns easier to surface and act on
- Faster sanity-checks so the team could keep execution tight without metric sprawl
SourceMedium became the team’s centralized way to pull and cross-reference data across platforms and dig into order and return behavior.
“Initially, I thought it was going to be more of a classic marketing dashboard,” Ovadia admits.
“But it turns out SourceMedium has helped us dig into order and return behavior, helping us surface valuable insights that we’ve acted on.”
What changed
- Decision enabled: The team could make profitability-driven calls with a clearer view of what customers bought, returned, and did next.
- How they validated it: Cross-referencing order and return behavior reduced reliance on “vibes-based” interpretations.
- What got faster: Less dashboard hopping and faster answers when the team needed to sanity-check performance.
The results
-
Clearer order and return behavior
The team could see and act on patterns that were previously buried across systems. -
Simpler metrics tied to profitability
With fewer vanity metrics in the mix, decisions stayed anchored to unit economics. -
Faster, more confident execution
With answers easier to access, the team could move quickly without second-guessing the numbers.