The Multi-Format Shift: How Spotify Is Re-Engineering Attention

Spotify is moving from an audio-only platform to a multi-format ecosystem, changing how digital platforms monetize user attention. By expanding into video and interactive display, Spotify is doing more than adding ad space; it is trying to fix the measurement gap that has kept audio out of many performance-based media plans. For CMOs and media buyers, the goal is to master the right message at the right moment. Those who continue to treat Spotify as a simple audio channel will miss out on the high-intent, active moments the platform is now building. Success requires moving away from traditional media silos and adopting a flexible strategy that matches how people actually use the platform today.

The Automation Mandate: Solving for the Walled Garden

The biggest change at Spotify, the overhaul of its ad tech stack, was a reactive move rather than a proactive one. Brian Berner, VP of Advertising Partnerships, explains that the shift toward automation tools like the Ad Server, Ads Manager, and the Ad Exchange was a response to the industry's move toward programmatic buying and Multi-Touch Attribution (MTA).

When platforms act as walled gardens, they create friction for marketers trying to track ad spend across different channels. By building the infrastructure for programmatic access, Spotify is trying to remove that friction. The goal is to let marketers include Spotify in their existing MTA strategies instead of forcing them to manage it as a separate, isolated line item.

"We identified a big gap in our strategy with where the advertising world was going with respect to more automated planning and buying. So with that said, we invested in building out Spotify ad server."

-- Brian Berner

The In-Focus Pivot: Why Video is Not Just Extra Inventory

Spotify’s move into video podcasts and music videos is often seen as an attempt to compete with YouTube. However, the logic is more specific. Berner describes this as a way to capture users during in-focus moments, when they are actively watching rather than just listening.

This creates a two-part advantage. First, it increases the total available inventory. Second, it allows for dynamic format switching. Because the platform knows if a user is currently watching or just listening, it can serve the format that fits that state. This helps reduce engagement drop-off, but it also creates a new requirement: marketers must now build creative assets that work for both audio and visual formats to stay relevant as user behavior changes.

The Fandom Moat: Monetizing Cultural Resonance

Spotify uses the concept of fandom as a defense against commoditized ad-buying. By using first-party data to create experiences like ticket reservations for top listeners, the platform builds a stronger connection between creators and fans.

This requires more effort than standard campaigns. It means moving beyond basic reach and frequency metrics to track social amplification and cultural impact. While performance metrics like click-through rates are easier to measure, they often miss the long-term brand value built through these deeper interactions. The system rewards brands that can quantify these emotional signals, turning fandom into a measurable business outcome.

"One of our internal beliefs for advertising partnerships is that great ads can be great content. So from that perspective just from a format an innovation experience... how do we make it as least disruptive to that listening experience as possible."

-- Brian Berner

The 15-Year Evolution: From Radio-Repurposing to Gen-AI

Berner notes that 15 years ago, the main hurdle was convincing marketers that audio had value. Today, the challenge is managing the complexity of multi-format creative. The rise of Gen-AI audio tools, which let brands test different voices, languages, and tones, marks a shift from simply repurposing radio ads to building native experiences. This gives an edge to brands that can iterate quickly. The trade-off is the need for better creative operations, but the result is a much stronger connection with the audience.

Key Action Items

• Audit your Multi-Touch Attribution (MTA) strategy: Over the next quarter, check if your media mix allows for programmatic integration with Spotify’s ad exchange. Stop treating audio as a separate brand-awareness play.
• Develop a multi-format creative playbook: Focus your creative team on assets that can switch between passive audio and active video or display states. This is a 12-18 month investment in operational agility.
• Leverage 1P data for performance: If you rely on third-party tracking, start testing Spotify’s first-party options like the Spotify Pixel to track conversions. This provides more accurate data than standard industry benchmarks.
• Test Gen-AI creative iteration: Use AI tools to test different ad variations. The barrier to entry is low, but the advantage goes to those with the fastest feedback loops.
• Shift from Reach to Fandom metrics: Over the next 6-12 months, work with your partnerships team to define how social amplification and event engagement map to your business goals, rather than just tracking impressions.