Frame.io - Loci Integration and Automation

Common Integration Use Cases Between Frame.io and Loci

1. Promote approved video assets into personalized content recommendations

Flow: Frame.io ? Loci

Once a video is approved in Frame.io, the final asset, metadata, and usage context can be sent to Loci so it can recommend the most relevant video content to users based on behavior, audience segment, or content affinity. This is especially useful for media companies, brands, and publishers that want to surface the right video to the right audience after creative sign-off.

Business value: Faster content activation, better audience targeting, and improved engagement with approved assets.

2. Use engagement data to prioritize future video production and edits

Flow: Loci ? Frame.io

Loci can analyze which content themes, formats, or topics drive the highest engagement and send those insights back to creative teams working in Frame.io. Producers and editors can use this data to guide what video versions, cuts, or follow-up assets should be created next.

Business value: Data-driven creative planning, reduced production waste, and stronger alignment between content performance and production decisions.

3. Automatically recommend alternate cuts or versions during review cycles

Flow: Bi-directional

Frame.io review activity can be combined with Loci content analysis to identify which video versions perform best for specific audiences. If a certain cut is approved internally but underperforms in engagement, Loci can flag that insight and prompt teams to create alternate versions in Frame.io for different segments or channels.

Business value: More effective versioning strategy, improved content relevance, and faster optimization of creative assets.

4. Personalize content hubs with the latest approved media

Flow: Frame.io ? Loci

When new videos are finalized in Frame.io, they can be pushed to Loci to update personalized content hubs, landing pages, or recommendation modules in connected digital experiences. This ensures only approved, current assets are recommended to users.

Business value: Consistent publishing governance, reduced manual asset handling, and timely personalization of customer-facing experiences.

5. Surface high-performing content themes to creative and marketing teams

Flow: Loci ? Frame.io

Loci can identify which topics, styles, or content categories are generating the most clicks, watch time, or repeat visits. Those insights can be shared with teams using Frame.io so they can prioritize similar creative concepts, storylines, or campaign edits in future production cycles.

Business value: Better content strategy, improved campaign relevance, and stronger return on creative investment.

6. Route approved assets into recommendation workflows by audience segment

Flow: Frame.io ? Loci

After a video is approved in Frame.io, its metadata such as campaign, product line, region, or audience segment can be passed to Loci. Loci can then match the asset to the most relevant user groups and recommend it within CMS-driven experiences or digital channels.

Business value: More precise audience matching, faster deployment of approved content, and improved conversion potential.

7. Close the loop between content review and performance analytics

Flow: Bi-directional

Frame.io can provide approval status, version history, and review timestamps, while Loci contributes engagement metrics and recommendation performance. Together, these data points help teams understand whether the content that was approved and published is actually driving the desired audience response.

Business value: End-to-end visibility from production to performance, stronger governance, and more informed content operations.

8. Trigger content refreshes when recommendation performance declines

Flow: Loci ? Frame.io

If Loci detects that a recommended video is losing engagement or becoming stale, it can notify creative teams to refresh the asset, create a new cut, or update the messaging in Frame.io. This supports proactive content maintenance instead of waiting for performance to drop significantly.

Business value: Continuous content optimization, reduced audience fatigue, and better lifecycle management of video assets.