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Media and Entertainment

Premium inventory sits idle. Churn rises. And no one cross-references audience data with exit propensity.

Integrated bundles reduce churn by up to 59%. But CPM, ARPU, and fill rate remain on separate platforms. Bunker connects audience, monetization, and retention with the Bunker Protocol, Salesforce, and AI applied to CVM.

Media & Entertainment by the numbers

80%

of hours watched on Netflix driven by the recommendation system; >US$1B/year in churn avoided

Gomez-Uribe & Hunt / Netflix-ACM 2015
65%

drop in advertising effectiveness when audience data is restricted

Goldfarb & Tucker / MIT-ManSci 2011
35pp

higher free-to-paid conversion with algorithmic diversity and personalization

Anderson et al. / Spotify-ACM WWW 2020
5–6%

higher productivity with data-driven decisions

Brynjolfsson et al. / MIT 2011

The silent risk in media and entertainment

80% of engagement depends on algorithmic recommendation. If your operation does not connect audience, commercial, and service, every interaction happens without context.

When content, ad sales, and subscriber service operate on separate systems, the personalization that retains audiences simply does not happen. The result is silent churn and monetization below its potential.

The real scenario

Four fractures eroding ARPU and fill rate with every inventory cycle

Each gap accumulates between flights. When CPM is set without audience context and churn triggers no alert, monetization drops-and premium inventory sits idle.

01

Audience without unified context

Consumption, behavior, and preference data spread across different platforms. Each team has a partial view of the subscriber; none has the complete picture.

02

Decline in advertising effectiveness

Campaigns with restricted audience data lose up to 65% of their effectiveness. Without integration, ad sales operates with generic segmentation and unpredictable results.

Goldfarb & Tucker / MIT-ManSci 2011
03

Retention without prioritization

Algorithmic personalization can convert 35 percentage points more. Without it, every subscriber receives the same generic offer-and churn accumulates without warning.

Anderson et al. / Spotify-ACM 2020
04

Decisions without integrated data

Data-driven operations are 5–6% more productive. Without integration, every editorial and commercial decision starts from incomplete premises.

Brynjolfsson et al. / MIT 2011

Inte­grated Me­dia Archi­tecture

Bunker

We have already orchestrated CPM, ARPU, paywall, and retention cadences. We know where context is lost between audience and revenue.

The commercial team sells inventory without knowing the current fill rate. Each platform-OTT, linear, digital-operates with its own subscriber base. Churn rises without anyone cross-referencing consumption behavior with exit propensity. And the bundle meant to retain delivers generic discounts because there is no segmented CVM.

We do not sell ad servers or CDPs. We design the operation that transforms audience into recurring revenue-with governed ARPU and traceable churn.

  • +300 CRM projects: including media operations with ad sales and retention
  • +120K users impacted, from ad sales to subscriber service
  • Commercial governance deployed in 8 countries with audience monetization
  • Direct experience with broadcasters, OTTs, publishers, and digital platforms

Bunker Protocol applied to Media and Entertainment

Four phases. One architecture. Auditable results.

Phase 01

Structural Diagnosis

Ad sales does not talk to audience. Retention does not cross-reference consumption behavior. And premium inventory sits idle while churn rises. We map where each silo consumes revenue and engagement.

Outcomes
  • Diagnosis of flows between ad sales, audience, and subscriber retention
  • Revenue lost to idle inventory, avoidable churn, and weak segmentation
  • Roadmap prioritized by impact on fill rate, ARPU, and retention
Phase 02

Prioritization Architecture

Salesforce connects to content platforms, audience data, and the ad server. Ad sales negotiates with real-time audience data. Retention acts on churn propensity, not intuition.

Outcomes
  • Salesforce integrated with ad server, audience data, and content platforms
  • Unified advertiser and subscriber profile with consumption behavior
  • Automated journeys for ad sales, retention, and inventory management
Phase 03

Tailored Engagement

Agentforce segments audience in real time for ad sales, identifies subscribers with churn propensity, and recommends retention actions by consumption profile. Every recommendation backed by data context, not guesswork.

Outcomes
  • Dynamic audience segmentation for ad sales with real-time consumption data
  • Churn propensity score per subscriber with retention recommendation
  • Premium inventory prioritization by potential CPM and advertiser fit
Phase 04

Outcomes and Handover

Governance across content, ad sales, and retention with fill rate, ARPU, and engagement metrics. The commercial and audience team operates the platform and scales monetization autonomously.

Outcomes
  • Integrated dashboards of fill rate, CPM, ARPU, and churn by segment
  • Review cadence between ad sales, content, and subscriber retention
  • Autonomous monetization team: evolves segmentation and playbooks independently

Evidence

Auditable results in a context similar to yours

−59%

reduction in churn with integrated bundles and a retention cadence segmented by consumption behavior

Deloitte: "Digital media trends" 2024
+10–15%

in incremental revenue with audience data-driven monetization and inventory-optimized fill rate

McKinsey: "Future of media monetization" 2023

more LTV captured by operations with segmented CVM versus a generic retention and upgrade approach

BCG: "Customer value management in media" 2023

Fragmented audience, ad sales without context, and subscriber retention without value-based prioritization.

Bunker designed the complete CRM architecture on Salesforce, integrated consumption, commercial, and service data, and installed pipeline governance with auditable predictability.

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Transformation

From fragmented audience to connected monetization

Without Bunker

Disconnected monetization

  • Audience, commercial, and service with separate data and conflicting versions
  • Ad sales without segmentation based on real behavior
  • Subscriber retention without prioritization by value or churn risk
  • Pipeline invisible to executive management
  • Campaigns without impact traceability by channel or format

With Bunker

Integrated monetization architecture

  • Single view of subscriber and audience across content, commercial, and service
  • Ad sales with algorithmic segmentation by behavior
  • Retention governance with prioritization by value and churn propensity
  • Auditable pipeline with real-time executive predictability
  • AI applied to daily routines with alerts, summaries, and action recommendations

Every month of disconnected audience costs ARPU, fill rate, and subscribers who do not return.

The first step is a monetization and retention diagnostic. No commitment, no generic deck. Assess whether your media operation justifies a different architecture.

Frequently asked questions

Answers for Media and Entertainment

01 Does the protocol work for both ad sales and subscriber retention? Expand

It works for both-and especially at the connection between them. When ad sales segments by real audience data and retention acts on churn propensity, monetization grows on two fronts. The diagnostic identifies where to prioritize.

02 Do you integrate with ad servers, content platforms, and audience data? Expand

We integrate Salesforce with ad servers, streaming/content platforms, and audience data. The ad sales team negotiates with real consumption data; retention acts on an up-to-date churn score-all on a single base.

03 How do you measure results when revenue comes from both subscriptions and advertising? Expand

By separating and cross-referencing. The protocol installs dashboards showing ARPU, fill rate, and churn by segment-allowing each team to optimize its metric without cannibalizing the other. The integrated view is what prevents decisions that improve one indicator while destroying another.

I want to map this architecture for my segment