Trade Ideas serves both institutional brokerage clients and a rapidly growing direct subscriber base for its AI-driven stock screening tools.
For years, Trade Ideas built its business decisions on subscription data that was structurally inaccurate. Every upgrade or downgrade a customer made was recorded in Infusionsoft as a cancellation and a resubscribe, which meant churn figures were overstated, recurring revenue metrics were skewed, and the numbers the team used to plan marketing, retention, and growth reflected a business that didn't exist.
"We found ourselves worried about walking into projects with the wrong data 50% of the time," said Skip Shean, TI Advisor and Marketing Consultant. On top of that, Trade Ideas had an alarming amount of missed opportunities on dunning — failed payments that should have been recovered automatically were instead requiring customer service staff to spend nearly all of their time managing credit card data and chasing payments manually.
This change has more than covered the lost income from institutional brokerage clients. To manage these subscriptions, Trade Ideas used Infusion Soft's cart and processed transactions through Authorize.net. We spoke with Skip Shean, TI Advisor & Marketing Consultant, who pointed out that Trade Ideas fundamentally suffered from three key issues in running their business:
Revenue loss from ineffective payment collections: With their previous vendor, Infusionsoft, Trade Ideas realized they had an ‘alarming amount of missed opportunities on dunning’ due to either expired cards, or not acting on failed payments. This caused significant issues that several Customer Service staff members were spending nearly all of their time managing credit card data and dunning. Additionally, the data lock-in by InfusionSoft led to their inability to test subscription scenarios in alternative solutions, risking the future growth of their complete business.
No Single Source of Truth = Partial picture with data discrepancies: One of the biggest issues for Trade Ideas was not getting a clear picture of the health of their business due to multiple sources of data — from an arbitrary Excel report to incomplete data from InfusionSoft. The problem was exacerbated by the fact that upgrades and downgrades in subscriptions would be calculated as cancellations and re-subscribes, which skewed their actual sales and ability to calculate valid recurring revenue metrics for the business.
Productivity loss: Skip summarizes this issue as overheads from marketing and sales teams on identifying which data was accurate, when, in fact, neither of them was accurate. This doesn't even count the risks of “making a bad choice on what to do because of the bad data.” They found themselves worried about walking into projects with the wrong data 50% of the time.
According to Skip, the concerns about data accuracy cost them about 15-20 hours a month in productivity.