

Connectors / Integration
Connect Kaltura and Marketo to Turn Video Engagement Into Marketing Pipeline
Automatically sync video interaction data from Kaltura into Marketo to score leads, trigger nurture campaigns, and personalize outreach at scale.
Kaltura + Marketo integration
Kaltura is an enterprise video platform for hosting, streaming, and analyzing content across webinars, product demos, and virtual events. Marketo is a marketing automation platform for managing campaigns, lead scoring, and customer journeys. Together, they're more useful than either is alone: video engagement data from Kaltura becomes actionable intelligence inside Marketo, so marketing teams can reach prospects at the right moment with the right message. The integration also cuts out the manual work of exporting viewer reports and chasing down high-intent interactions before they go cold.
Video is one of the strongest signals of buyer intent, yet most marketing teams can't act on that data in real time. When Kaltura and Marketo run separately, behavioral signals — a prospect watching 90% of a product demo, rewatching a pricing overview, attending a live webinar — never make it into lead scoring models or trigger the right follow-up sequences. By connecting Kaltura with Marketo through tray.ai, marketing teams can automatically push video view events, completion rates, and attendance data into Marketo as activity records, update lead scores based on engagement thresholds, and enroll contacts into targeted nurture streams the moment they interact with specific video content. Pipeline moves faster, and sales teams get alerted to warm, video-engaged prospects without any manual data wrangling.
Automate & integrate Kaltura + Marketo
Automating Kaltura and Marketo business processes or integrating data is made easy with Tray.ai.
Use case
Webinar Attendance to Lead Nurture Enrollment
When a contact attends or registers for a Kaltura-hosted webinar, tray.ai automatically creates or updates their record in Marketo and enrolls them in a post-webinar nurture program. Follow-up is timely and relevant to the specific webinar topic they engaged with. No manual CSV exports, no delayed outreach — the nurture sequence fires within minutes of the session ending.
- Eliminate manual post-webinar data uploads into Marketo
- Trigger follow-up emails while engagement is still fresh
- Segment nurture tracks by webinar topic or audience persona
Use case
Video View Percentage as Lead Scoring Signal
tray.ai monitors Kaltura video engagement events and maps watch percentage milestones — 25%, 50%, 75%, and 100% completion — to lead score increments in Marketo. Prospects who watch a full product demo are automatically awarded higher scores, surfacing them to sales faster. Passive video consumption becomes a measurable, scored buying signal.
- Incorporate video engagement into existing Marketo lead scoring models
- Prioritize high-intent prospects who consume full-length product content
- Cut time-to-contact for sales-ready, video-engaged leads
Use case
On-Demand Video Registration to Contact Creation
When a prospect fills out a Kaltura gated video registration form to access on-demand content, tray.ai automatically creates or updates the corresponding contact record in Marketo with source, video title, and timestamp attributes. Every gated video viewer gets captured in your marketing database and attributed correctly. Marketers get a clear picture of which content assets are actually driving new contact acquisition.
- Automatically populate Marketo with net-new contacts from Kaltura gates
- Track which video assets generate the most new leads
- Trigger immediate welcome or content follow-up sequences
Use case
Live Event Drop-Off Alerts for Sales Follow-Up
tray.ai detects when a known Marketo contact joins but leaves a Kaltura live event early, logs that interaction as a specific activity in Marketo, and flags the contact for a personalized re-engagement campaign. An incomplete experience becomes a sales opportunity rather than a lost touchpoint. Sales reps can reach out with messaging that references the exact session the contact attended.
- Recover lost pipeline from contacts who disengaged during live events
- Personalize follow-up based on how far into the session a contact watched
- Automatically route flagged contacts to sales development reps
Use case
Video Campaign Performance Reporting in Marketo
tray.ai pulls Kaltura video performance metrics — total views, average watch time, and engagement rates by video asset — and pushes them into Marketo custom objects or program channels for unified campaign reporting. Marketing teams can compare video-driven pipeline against other content types without leaving Marketo, giving a complete view of content ROI across the entire marketing mix.
- Centralize video analytics alongside other campaign data in Marketo
- Compare video content effectiveness against email and paid channels
- Make data-driven decisions about future video content investment
Use case
Kaltura Video Playlist Recommendations Based on Marketo Segment
tray.ai reads Marketo segment or persona data and triggers personalized Kaltura video playlist recommendations sent via Marketo email campaigns. When a contact moves into a new lifecycle stage or scores past a threshold, the integration automatically selects relevant Kaltura video content and populates a dynamic email template. Each buyer gets a video experience that matches where they actually are in their journey.
- Deliver personalized video recommendations at scale
- Align video content strategy with Marketo lifecycle stages
- Increase email click-through rates with relevant, timely video links
Challenges Tray.ai solves
Common obstacles when integrating Kaltura and Marketo — and how Tray.ai handles them.
Challenge
Matching Kaltura Viewers to Marketo Lead Records
Kaltura viewer data often includes anonymous session IDs or email addresses that don't perfectly match the email formats or identifiers used in Marketo, making reliable record matching difficult at scale and risking duplicate or orphaned records.
How Tray.ai helps
tray.ai includes built-in data transformation and deduplication logic that normalizes email addresses, resolves conflicts between viewer identifiers, and runs fuzzy matching lookups against Marketo before creating new records — so data stays clean and accurate without duplicates piling up.
Challenge
Handling High-Volume Video Event Streams Without Data Loss
Enterprise video platforms like Kaltura can generate thousands of engagement events per hour during large virtual events, which can overwhelm basic integration pipelines and result in dropped events, delayed scoring, or incomplete nurture enrollments.
How Tray.ai helps
tray.ai's workflow engine handles high-throughput event streams with automatic queuing, retry logic, and parallel processing. Every engagement event from Kaltura gets processed reliably and delivered to Marketo without data loss, even during peak event traffic.
Challenge
Mapping Kaltura Video Metadata to Marketo Program Structures
Kaltura organizes content using categories, tags, and playlists that don't directly map to Marketo's program and campaign hierarchy, making it hard to attribute video engagement to the correct marketing program for ROI reporting.
How Tray.ai helps
tray.ai lets teams configure custom field mapping and transformation logic that translates Kaltura metadata tags and categories into the corresponding Marketo program IDs and campaign names. Attribution stays accurate without requiring changes to either platform's taxonomy.
Templates
Pre-built workflows for Kaltura and Marketo you can deploy in minutes.
Automatically captures attendee and registrant data from a completed Kaltura webinar, creates or updates contacts in Marketo, and enrolls them in a post-webinar nurture program mapped to the specific webinar topic.
Listens for video engagement events from Kaltura and translates watch percentage milestones into lead score adjustments in Marketo, so high-intent video interactions show up in real-time scoring models.
Monitors Kaltura gated content registration forms and automatically creates new lead records in Marketo with complete source attribution, or updates existing records with the new content engagement activity.
Detects when a Marketo-known contact leaves a Kaltura live event before completion, logs the interaction, and triggers a targeted re-engagement email campaign referencing the specific session.
Runs on a schedule to pull aggregate video performance data from Kaltura for each campaign-associated asset and push the metrics into Marketo program statuses and custom objects for unified reporting.
Watches for Marketo segment changes or lifecycle stage transitions and triggers a personalized Kaltura video recommendation email, dynamically selecting relevant video assets based on the contact's current persona and stage.
How Tray.ai makes this work
Kaltura + Marketo runs on the full Tray.ai platform
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