Brightcove - Adobe Analytics Integration and Automation

Common Integration Use Cases Between Brightcove and Adobe Analytics

1. Unified video engagement reporting for marketing and content teams

Data flow: Brightcove ? Adobe Analytics

Brightcove video events such as plays, pauses, completions, drop-off points, and average watch time can be sent into Adobe Analytics to create a single view of content performance across web, mobile, and campaign channels. Marketing and content teams can compare video engagement against page performance, traffic sources, and conversion outcomes in one reporting environment.

• Measure which videos drive the most qualified traffic and conversions
• Compare engagement by audience segment, device, and acquisition channel
• Reduce manual reporting by consolidating video and site analytics

2. Campaign attribution for video-driven demand generation

Data flow: Brightcove ? Adobe Analytics

When Brightcove videos are embedded in landing pages, product pages, or email-driven campaign pages, engagement data can be passed to Adobe Analytics to attribute downstream actions such as form fills, demo requests, or purchases. This helps demand generation teams understand which video assets contribute to pipeline creation.

• Track video-assisted conversions by campaign, audience, and content type
• Identify high-performing video creative for paid and owned channels
• Optimize media spend based on actual engagement and conversion impact

3. Content optimization for publishers and media organizations

Data flow: Brightcove ? Adobe Analytics

Media teams can use Brightcove viewing data in Adobe Analytics to evaluate how audiences consume news clips, shows, trailers, or live event streams. Editorial and programming teams can use this insight to adjust content length, placement, publishing schedules, and recommendation strategies.

• Analyze audience retention by segment and content category
• Compare live stream performance with on-demand replay behavior
• Improve editorial decisions using real audience consumption patterns

4. Personalized video experience based on audience behavior

Data flow: Adobe Analytics ? Brightcove

Audience behavior captured in Adobe Analytics, such as page visits, product interest, or prior content consumption, can be used to inform which Brightcove videos are surfaced to a user. This supports more relevant video recommendations on websites and digital experiences.

• Serve product demos to users who have visited solution pages
• Promote onboarding or training videos based on prior site activity
• Increase watch rates by matching video content to user intent

5. Live event performance and audience retention analysis

Data flow: Brightcove ? Adobe Analytics

For webinars, virtual conferences, product launches, or live broadcasts, Brightcove can send live viewing metrics into Adobe Analytics to show attendance trends, peak concurrency, session duration, and drop-off points. Event teams can use this data to improve future programming and follow-up campaigns.

• Measure attendance quality, not just registration volume
• Identify the moments where viewers leave live sessions
• Improve event agendas, speaker timing, and replay strategy

6. Cross-channel customer journey analysis with video touchpoints

Data flow: Brightcove ? Adobe Analytics

Brightcove video interactions can be treated as key journey events inside Adobe Analytics, allowing analysts to connect video consumption with broader customer journeys across web and app experiences. This is especially valuable for enterprises using video in education, onboarding, product education, and support.

• See how video influences repeat visits and conversion paths
• Compare journeys for viewers versus non-viewers
• Understand which video touchpoints accelerate decision-making

7. Executive dashboards for content ROI and operational planning

Data flow: Brightcove ? Adobe Analytics

By combining Brightcove video metrics with Adobe Analytics business reporting, leadership teams can evaluate the return on video investments across campaigns, channels, and business units. This supports planning for content production, distribution, and monetization priorities.

• Track video performance against business KPIs such as leads, subscriptions, or support deflection
• Compare performance across regions, brands, or product lines
• Support budget decisions with consistent, enterprise-level reporting