$36 Million on the Line: How a Subscription Gaming Platform Rebuilt Its Analytics From the Ground Up

The Challenge: A $36M Goal With No Way to Measure Progress

Fandom’s D&D Beyond platform was a digital success story in many ways — millions of registered users, a passionate community, and a beloved brand. But beneath the surface, the data infrastructure was broken. The company had set an aggressive revenue target of $36 million for the coming year, up from $25 million, and their private equity backers expected rigorous attribution data to justify every dollar of marketing spend.

The problem was that the analytics stack couldn’t deliver. Google Analytics 360 was misconfigured. E-commerce tracking wasn’t set up. Channels were misclassified — email traffic was showing up under the wrong source, social traffic was lumped into direct, and $130,000 per month in paid search spend had no clear return-on-ad-spend calculation. The CMO role was brand new to the organization, and there was no analytics leader overseeing data quality.

Put dollar signs on the problem: $1.56 million per year in paid search alone was being allocated with no ROAS visibility. The 2.9 million-person email database — which industry benchmarks suggest could generate 15-20% of subscription revenue through automated nurture sequences — had zero automation running. Every month these gaps went unaddressed, the company was compounding six- and seven-figure decisions on incomplete data. With an equity firm applying pressure and a 44% revenue growth target looming, the cost of continuing to operate without reliable analytics wasn’t just inconvenient — it was the single biggest risk to hitting the number.

The Investigation: 26 Broken Things Nobody Knew Were Broken

Trust Insights didn’t start with the tech stack — they started with the revenue model. In a half-day virtual strategy session with Fandom’s entire leadership team (CMO, VP of Product, VP of Strategic Operations, VP of Engineering, and Director of Marketing), Trust Insights mapped the CMO’s three highest-priority business questions backward through the data infrastructure to identify exactly where and why the answers were breaking down. This revenue-first diagnostic approach — starting with what leadership needs to know, then auditing why they can’t know it — is what separates a Trust Insights audit from a standard configuration review.

What the audit uncovered was far worse than expected. The issues spanned every layer of the marketing technology stack. Google Analytics 360 was missing e-commerce tracking, bot filtering, smart audiences, benchmarking, and proper goal configuration. Google Tag Manager was missing page depth variables, video tracking, custom UTM variables, JavaScript test variables, and the standard Google conversion linker. The email platform — serving 2.9 million contacts — had zero automation, no GA tracking integration, and had never been cleaned for invalid addresses. Campaign attribution was fragmented across four separate databases (Braintree payments, Athena warehouse, an internal SQL database, and GA360) with no way to connect a customer’s journey from first touch to purchase.

The audit also revealed a strategic blind spot: the company was overweighted on organic search by 20% and had no plan to close that gap. SEO had been widely ignored for the platform’s own properties. And one of their biggest growth opportunities — email marketing to a 2.9 million-person database — was completely untapped beyond basic broadcast sends.

What Happened Next: From Audit to Actionable Roadmap

Trust Insights didn’t just deliver a list of problems. The team produced a prioritized, channel-by-channel roadmap with a 90-day execution cadence: quick wins in weeks 1-2 (enabling bot filtering, e-commerce tracking, and fixing channel groupings — each requiring roughly 8 hours of internal QA), medium-term improvements in weeks 3-6 (email automation setup, GA360 custom variable deployment, UTM cleanup — requiring marketing-engineering coordination via biweekly syncs), and strategic initiatives in weeks 7-12 (lifetime value dashboard deployment, audience modeling, paid optimization — requiring 2-3 hours of weekly stakeholder review). Every technical fix was mapped to a business outcome so the team could justify the engineering effort.

Critically, the audit included a complete lifetime value analysis across every subscription tier. Using a cohort retention model with discount rate adjustments, Trust Insights calculated blended net LTV ($43 per registered user) and gross LTV ($101) across all conversion categories — from one-time digital product purchases to annual legendary bundles. This gave the CMO a financial framework for evaluating channel performance that went far beyond cost-per-acquisition. It meant the team could finally answer the question the equity firm was asking: which channels produce the most valuable long-term customers, not just the cheapest clicks?

The audit also uncovered a strategic insight that reframed the entire growth conversation. The biggest untapped opportunity wasn’t a technical fix — it was that Fandom had 2.9 million subscribers they weren’t actively marketing to through email. No onboarding sequence, no automation, no list segmentation. In a subscription business where retention compounds, an automated email program targeting even a fraction of that database represented a meaningful share of the $36 million target. That one reframe — shifting from “fix the tracking” to “unlock the channel” — was worth the engagement cost on its own.

This is the difference between hiring an analytics vendor and working with Trust Insights. Another consultancy would have delivered a configuration checklist and called it done. Trust Insights connected every technical recommendation to a revenue question, delivered a 90-day execution roadmap the team could implement without external dependency, and included full LTV model documentation with a training handoff so Fandom’s analytics team could reproduce and extend the analysis independently. The audit didn’t just find 26 broken things. It reframed how the entire organization thinks about the relationship between data infrastructure and business outcomes.

Services Used

Google Analytics 360 Audit
Google Tag Manager Audit
Attribution Analysis
Lifetime Value Modeling
Marketing Technology Consulting
Executive Strategy Session