Established a mandatory metrics-first engineering culture, enforcing policy that no product feature is complete without a live Looker dashboard
Cut monthly analytics costs from several thousand to a couple hundred dollars
Leveraged centralized database insights to easily prove legitimate user activity, achieving an unprecedented 80% win rate on card chargebacks
Generated 5x to 10x higher revenue per placement through performance-based metrics, while multiplying advertising ad impressions by 100 to 1,000x
Maxim Cover Girl leverages Looker and BigQuery to transform legacy print media into a profitable, AI-driven influencer platform, slashing analytics costs and unlocking massive performance-based advertising streams.
Maxim Cover Girl leverages Looker and BigQuery to transform legacy print media into a profitable, AI-driven influencer platform, slashing analytics costs and unlocking massive performance-based advertising streams.
Modernizing legacy media analytics through unlocking data driven infrastructure agility
Maxim Cover Girl embarked on an aggressive business transformation to revitalize traditional media, scaling a massive digital competition platform powered by an organic network of over 350,000 influencers. Initially, the team deployed a basic data stack consisting of Mixpanel to track application events published through Segment.
However, as business models quickly evolved, this setup revealed significant architectural constraints. Mixpanel proved highly opinionated, forcing every graphical representation onto a rigid user ID slicing scheme on the x-axis. This limited engineering and business teams to narrow user funnel visualizations, failing to provide comprehensive, sophisticated insights into the underlying production database or the actual real-time state of the world.
Recognizing the critical need for a more sophisticated business intelligence solution, management looked to break away from custom-coded, first-party administrative panels that consumed extensive engineering hours just to modify simple data views. The company required a centralized data modeling layer capable of delivering unified definitions across frequent business iterations, such as changing revenue attribution logic for parallel contests.
By selecting Looker alongside BigQuery, Maxim established an agile framework to pipe transactional information directly out of legacy databases without impacting production performance. This infrastructure pivot created a powerful read-replica environment, laying down a robust technical foundation that allowed non-technical business units and engineers alike to view historical experiments and real-time operational data side by side on demand.
Looker was adopted as a one-stop shop to access the production database for business, technical, and operations insights, which also allows them to join event data with static database data. The cost of Looker is trivial compared to the cost of an engineer spending time adding features to the old admin panel.
Justin Lewis
CEO, Maxim
Driving high-value brand impressions and self-service analytics through live dashboards
Deploying Looker allowed Maxim to successfully shift its entire corporate culture away from manually compiled decks toward automated, on-demand dashboards. This transition immediately yielded immense financial dividends.
The team reduced its dependency on an expensive Mixpanel contract by eliminating roughly 80% of the redundant metrics sent there, quickly shrinking monthly data processing costs from several thousand dollars down to a couple hundred. Concurrently, first-party admin panels were decommissioned because Looker dashboards proved faster to build, cheaper to iterate, and flexible enough for business leaders to seamlessly append new columns or dimensions without filing engineering tickets.
This agility directly optimized real-world commercial workflows, particularly with legacy print advertisers like Skechers. Instead of selling standard static placements, Maxim paired traditional campaigns with digital influencer tournaments, leveraging aggregate Looker data to track viral impressions generated when contestants solicit fan votes.
Brand partners received 100 to 1,000 times more exposure, allowing Maxim to charge 5 to 10 times traditional print rates while delivering precise, performance-based conversion analytics. Additionally, data access remains completely governed; external brand partners will soon interact with isolated Looker instances to verify impressions and traffic safely, keeping sensitive backend financial streams and individual contestant voting totals strictly proprietary. This secure data-sharing strategy prevents adversarial narratives among participants while driving millions of dollars in new enterprise revenues.
We're working to shift the company culture away from receiving data in decks toward using live, on-demand dashboards for metrics like Customer Acquisition Cost and user engagement. Looker and LookML allow us to manage this data evolution by maintaining consistency across frequent business changes.
Justin Lewis
CEO, Maxim
Empowering teams and mitigating risk through centralized data governance
The implementation of Looker dramatically enhanced operational productivity, introducing a strict company culture where an engineer-built feature is never considered complete until a live dashboard is available. Today, roughly half of the organization consists of non-technical specialists rooted in creative fields like photography, fashion, and videography.
By incorporating conversational natural language capabilities within Looker, these team members bypass technical barriers to self-serve complex data queries independently, shedding an over-reliance on executives to build basic reports. AI-driven descriptive paragraphs alongside dashboards supply contextual guardrails, training non-technical personnel to evaluate data critically and distinguish between total event volumes and unique user counts.
Simultaneously, financial teams utilize Looker to achieve operational breakthroughs in risk mitigation. By monitoring user engagement metrics and transactional histories, the company built dedicated chargeback dashboards that compile robust evidence packages to dispute fraudulent activity. This data-driven approach unlocked an unprecedented 80% win rate on credit card disputes by proving legitimate interactions end-to-end. Looking forward, Maxim is leveraging this structured data architecture to train machine learning models in BigQuery, predicting long-term contestant values across 12-week cycles and optimizing complex tournament bracket configurations. Armed with Looker, the business is expanding into a massive ecosystem, acquiring struggling legacy brands and using automated Webflow systems to efficiently dominate search visibility across multiple industry verticals.
The biggest advantage that we've seen with Looker so far is just the visibility of all aspects. Our engineers use it; whenever they complete a project, they're going to be showing it to the rest of the company to demonstrate the actual effects of it.
Sterling Orgill
Finance Director, Maxim
Maxim is an innovative digital media and entertainment firm that operates massive online tournament platforms, utilizing an organic network of over 350,000 influencers to revitalize iconic legacy media brands.
Industry: Media and Entertainment
Location: United States
About Google Cloud partner - Bytecode
Bytecode is a Google Cloud partner specializing in data and analytics. They accelerated Maxim’s delivery by providing architectural expertise and rapid prototyping for new Looker-based products.
