To quickly diagnose and act on changes in their
platform, Housecall Pro relies on Sisu to analyze
factors across billions of jobs and transactions.
Case Study
Housecall Pro's Key Questions:
In their dynamic market, Housecall Pro's key
metrics — from customer acquisition to monthly
recurring revenue to retention rates — can
fluctuate faster than a dashboard or expert
analyst can explain why. But to help thousands of
customers thrive, their Analytics Team has to find
a way to inform operational decisions while the
window of opportunity is open.
Too many factors, too many questions
Housecall Pro serves over 60,000 home service profes-
sionals, who each complete hundreds of jobs a month. Or
put another way, Housecall Pro enables billions of jobs and
transactions a year.
That means they have plenty of data to inform their operation
strategies. Unfortunately, that same wealth of data makes
building institutional knowledge of performance and trends
across their 120 verticals almost impossible.
When Housecall's VP of Analytics, Vanessa Cirannek, wanted
a clear picture of why her core Get, Keep, and Grow KPIs were
changing, figuring out where to start was a daunting task.
To diagnose declining conversation rates and highly variable
MRR, she had to find a way to evaluate billions of potential
suspects in the data. In that sea of possibilities, which factors
really made an impact?
"Whenever a metric changes, the
key drivers could come from a thou-
sand different directions. I wanted
to be able to explain both what the
change is and why it's occuring at
the push of a button."
— Vanessa Cirannek, Housecall Pro
Conversion Retention
MRR
Why do we see lower conversion
rates from certain sources?
What segments have the
highest churn?
How is monthly recurring reve-
nue performing across cohorts?
