In AJ’s prior agency experience before using Triple Whale, he grappled with overwhelming and often inconsistent data, clients who were laser focused on short-term metrics rather than long-term metrics, and disparate platforms where the data lived. As a result, he faced the following key challenges:
Inconsistent Data: The impacts of iOS 14 and tracking opt-outs caused week-to-week variability in data which made it difficult to understand, interpret, and communicate advertising results. With the inconsistent data in hand, AJ found it challenging to craft a coherent narrative for clients, making it hard to provide insights and future strategies.
Client Focus on ROAS and CPA: Clients AJ dealt with were fixated on return on ad spend (ROAS) and cost per acquisition (CPA) as key performance metrics. This tunnel vision approach posed challenges that limited AJ’s ability to show the big picture.
Difficulty in Recognizing Performance Discrepancies: Without a tool like Triple Whale, discerning discrepancies or sudden shifts in ad performance became a daunting task. This was evident when ads were wrongly flagged, and native platforms kept showing repetitive results without highlighting the actual problem.
Lack of Unified Platform for Data Interpretation: AJ lacked a singular, consistent platform to gather and interpret data from various sources. Shopify wouldn't talk to Meta+Google or vice versa. When softwares can't talk to each other, who can you really trust? Triple Whale mediates by holding the hands of both parties.
“A big challenge we faced were that every client primarily cared about ROAS and CPA. It was genuinely overwhelming to consistently check and compile these reports weekly due to the vast inconsistencies in the data. The real focus should be on LTV and LTV/CPA since these are long-term goals with more consistency.” AJ Ferguson, Founder & CEO