Lawn Love is an online P2P marketplace that connects home owners to lawn care professionals, hosting hundreds of thousands of jobs across America. Since its inception in 2014, Lawn Love has raised $6.7M from investors like Y Combinator, Alexis Ohanian, and Joe Montana.
Five years in, the company was growing faster than ever, but struggled with a dubious reporting system. Founder Jeremy Yamaguchi began to worry that he was informing decisions with faulty information. He hired Stratus Data, and a few months later, walked away with not only clean, reliable infrastructure, but also an in-house data scientist and a full set of processes to maintain Lawn Love’s new status as a data-competitive company.
Multimillion-dollar decisions teeter atop slow, fragmented reporting system
By the time Lawn Love hit their five-year mark, their operations had outgrown their reporting system. The company relied on dozens of individual reports, some of which showed conflicting information. The reports were enormous and took up to 10 minutes to load, so that they were frustrating to edit, and even harder to maintain on an ongoing basis. Yamaguchi, who referred to these reports to manage a $2M/year marketing spend, began to feel the issue’s urgency. “We were flying with instruments that may have been wrong in meaningful ways,” he says. “These instruments told us whether we were going to fail on a daily basis, so it was important that they were correct.”
Yamaguchi reached out to a fellow Y-Combinator founder. “I explained my problem and asked him for the best team he knew,” he recounts. “He directed me to Stratus Data.”