The Problem
For nearly a decade, the startup had stood out in its market with a dual offering that included access to a SaaS platform and personalized services.
Over the past few years, thanks to world-class sales and customer support teams, a high-functioning platform, and positive brand recognition in the market, the startup went through a massive growth spurt with revenue scaling in multiples. But its marketing team hadn’t grown to match.
The company had gotten by with a small internal marketing team and freelance contractors managing its ad accounts. Historically, the founder, who had a very technical marketing background, was able to step in and right the ship when he saw performance slipping.
But as the company grew, the founder had less time to take such a hands-on approach. And when marketing costs began shooting up, he needed help assessing the situation and getting it under control.
He called Opascope.
We found two primary issues driving up costs and limiting performance.
1. The Startup’s Ad Accounts and Landing Pages Weren’t Set Up To Scale
The startup had scaled its Google and Meta ad accounts to seven figures a month and settings that had worked in the past were no longer working.
When we audited the company’s accounts, we could see where the prior agency had made major changes rapidly in an attempt to improve performance. But in our experience, the types of changes they were making wouldn’t work for an account of this size. What might’ve been minor issues on a smaller account now had major financial implications.
Like the ad accounts, the landing pages hadn’t scaled well either. They were too slow.
A large part of the paid budget was tied to Meta advertising which lends itself to mobile traffic, and mobile often has slower connections. The landing page loading time was significantly impacting conversion rates.
2. Issues Scoring Leads and Nurturing Returning Users Were Causing Missed Opportunities and a Significant Drop-Off in Qualified Leads
Once prospects entered the funnel, the startup faced new issues with qualifying leads.
The company managed a high-end service with different packages depending on a prospect’s potential lifetime value (LTV). Targeting the right prospects was one challenge in and of itself. Another was qualifying them during the sign-up process and scoring them appropriately.
The sign-up flow was designed to pre-qualify prospects and route them into two funnels. Top candidates — those with the highest predicted LTV — were routed to an inside sales team, while others were given a self-serve option with a default offer.
Because the startup had been around for years, many prospects entering the funnel had previously been customers or had clicked an ad in the past. And the platform wasn’t set up to optimally handle these prospects.
A prospect’s situation — such as location and other criteria used in the lead grading process — may have changed since they’d last applied or been a customer. But if their information was already on file, the system would automatically use it to route them to the default offer or to the sales team.