Data Enrichment 2.0: Beyond Emails, How to Enrich Your Prospects with Multimedia Content

B2B sales teams have been enriching their databases with emails, phone numbers, and company information for years. But what happens when this data is no longer enough to differentiate yourself? What do you do when your competitors have access to the same contacts through the same tools?

Data enrichment has evolved. In 2026, enriching a prospect is no longer limited to adding their phone number or LinkedIn bio. The highest-performing teams now enrich with multimedia content: conference videos, webinars, podcasts, product demos, customer testimonials.

Imagine being able to automatically identify that a target prospect recently attended a competitor’s webinar, or that they published a video mentioning problems your solution solves. That’s exactly what multimedia enrichment enables.

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Chapter 1: Traditional Data Enrichment — What Everyone Already Does

What is B2B Data Enrichment?

B2B data enrichment involves completing and improving your existing prospect data by adding missing information from external sources. Concretely, you start with a list of names and companies, and automatically add professional emails, direct phone numbers, job titles, company size, industry, technologies used.

According to IBM, companies lose an average of $12.9 million per year due to poor CRM data quality. Enrichment solves this problem by transforming incomplete contacts into actionable profiles.

Concrete example: Sarah, an SDR at a SaaS startup, receives a list of 500 leads from an event. She only has names and companies. Thanks to automatic enrichment, she gets in 10 minutes:

• Verified professional emails
• Direct phone numbers
• Titles and seniority
• Headcount and industry
• Technologies used (CRM, marketing tools)

Result: instead of spending 3 days manually searching for this information, Sarah launches her prospecting campaign the same day.

The 3 Pillars of Traditional Enrichment

Classic B2B enrichment relies on three complementary types of data:

1. Firmographic Data: Company Information

• Industry (SaaS, Manufacturing, Healthcare)
• Size (employees, revenue)
• Location (headquarters, offices)
• Year founded, legal status

This data allows you to segment your database and identify accounts that match your ICP (Ideal Customer Profile).

2. Technographic Data: Technologies and Tools Used

• CRM (Salesforce, HubSpot, Pipedrive)
• Marketing tools (Mailchimp, ActiveCampaign)
• Tech stack (AWS, Google Cloud, Azure)
• Plugins and integrations (Zapier, Make)

Technographic data reveals upsell, cross-sell, or replacement opportunities. Example: a prospect uses Mailchimp (entry-level) but has 50+ employees → signal they’ll soon need a more powerful tool.

3. Behavioral Data: Interactions and Engagement

• Visits to your website
• Content downloads (ebooks, whitepapers)
• Webinar participation
• Email opens and clicks

These intent signals allow you to score leads and prioritize the hottest ones.

Here’s what a typical enriched prospect profile contains:

The Limits of the Traditional Model

Despite its effectiveness, traditional enrichment now shows its limits:

1. Market Saturation: All your competitors have access to the same tools (ZoomInfo, Apollo, Cognism). You find the same emails as everyone else. Result: your prospects receive 10 identical emails the same week.

2. Static Data: Firmographic and technographic information is relatively stable. It changes little, and therefore provides little context on the ideal timing to contact a prospect.

3. No Emotional or Narrative Context: Knowing a prospect’s title and company doesn’t tell you:

• What problems they publicly mention
• What topics really interest them
• What content they consume

4. Rapid Decay: According to several studies, 25 to 30% of B2B data becomes obsolete each year. People change jobs, companies merge, phone numbers change. Enrichment must be continuous, not one-time.

This is where enrichment 2.0 comes into play.

Chapter 2: The New Dimensions of B2B Enrichment

Data enrichment is evolving toward more contextual, more behavioral, more human data. The most advanced sales teams no longer settle for knowing “who this person is,” they seek to understand “what interests them right now” to optimize their B2B lead generation.

Beyond Static Attributes: Contextual Enrichment

New generations of enrichment include:

Real-time Intent Data: What topics is your prospect actively researching?

• Visits to comparison sites (G2, Capterra)
• Downloads of competitor content
• Google searches related to your sector

Social Signals: What is your prospect saying publicly?

• LinkedIn posts mentioning pain points
• Tweets about frustrations with current tools
• Comments on Reddit/forum threads

Job Change Alerts: Job changes = window of opportunity

• Promotions (new budget, new projects)
• Arrival at a new company (rebuild of tech stack)

Funding & Growth Signals: Is the prospect’s company evolving?

• Announced funding round (available budget)
• Geographic expansion (new needs)
• Massive hiring (scaling pains)

These data bring timing and context, two elements absent from traditional enrichment.

The Blind Spot of Enrichment: Multimedia Content

But there remains a dimension largely ignored by the majority of sales teams: multimedia content produced or consumed by your prospects.

Why is this a blind spot? Because video and audio content is difficult to analyze at scale. Unlike a LinkedIn post (easily parsable text), a 45-minute video requires:

• File download
• Audio transcription → text
• Semantic content analysis
• Key insight extraction

It’s long, it’s complex, and until recently, it was virtually impossible to automate for a sales team.

Yet video content is a goldmine:

Webinars and Conferences: Your prospect attended a competitor’s webinar? That’s a strong buying signal. They’re actively searching for solutions.

B2B Podcasts: If your prospect is invited to an industry podcast, you can identify their pain points by listening to the episode. They mention a problem your product solves? It’s the perfect time to contact them.

Product Demo Videos: A company publishes a demo of their new product on YouTube. By analyzing this video, you identify the features they highlight → insight into their roadmap and priorities.

Customer Testimonials: Your prospects publish video case studies with their clients. By analyzing these testimonials, you understand how they sell, what results they highlight, what segments they target.

Recruitment Videos: A company publishes a “Join our team” video on LinkedIn. The analysis reveals they’re massively hiring in Customer Success → signal they’re scaling and probably have pains related to customer onboarding.

Now that you understand the value of multimedia enrichment, let’s see how to implement it concretely.

Chapter 3: Multimedia Enrichment — The Forgotten Dimension of Data Enrichment

Why Video Content is Strategic for B2B Sales Teams

Video content is no longer a trend, it has become the dominant format in B2B:

• 87% of B2B marketers use video (Wyzowl)
• Webinars generate 2 to 3 times more leads than whitepapers
• 59% of decision-makers prefer watching a video over reading an article (Forbes)

But here’s the problem: all this video content circulates on YouTube, LinkedIn Video, Vimeo, webinar platforms… and is never integrated into your enrichment workflows.

Result: you miss critical insights about your prospects.

Concrete example: Mike, Account Executive at a Customer Success solution, prospects VPs of Customer Success in SaaS. He discovers that a target prospect participated in a panel on “Scaling CS teams in hypergrowth startups” 2 weeks ago.

By watching (or analyzing the transcript of) this video, Mike identifies that the prospect mentions:

• Difficulties onboarding 200+ new customers/month
• A churn rate increasing with growth
• Active search for solutions to automate Customer Success

Mike sends an ultra-personalized email: “Mike here, I watched your panel at CS Leaders last week. You mentioned challenges onboarding 200+ customers/month — that’s exactly the problem we solve at [startup]. Would you be open to a quick demo?”

Response rate: 67% (vs 3-5% for a classic cold email).

How to Automate Video Enrichment with Hunt API

Now that you understand the value, let’s see how to automate this process.

Hunt API is a solution that allows downloading and extracting metadata from videos from any platform (YouTube, Vimeo, TikTok, LinkedIn Video, etc.) via a simple API.

How it works in 3 steps:

Step 1: Identify Relevant Videos You search for videos where your prospect or their company appears. Examples:

• Webinars they participated in
• Podcasts where they were invited
• Videos published by their company

Step 2: Download Video and Metadata via Hunt API Hunt API retrieves:

• Video file (MP4, WebM)
• Audio file (MP3)
• Metadata (title, description, views, publication date)

# Hunt API call example
curl -X POST https://huntapi.com/api/v1/video/download \
  -H "Content-Type: application/json" \
  -d '{"query": "

        
    
"}'

Result: the video file is downloaded and stored (for example on an S3 bucket).

Step 3: Analyze Content with AI Once the video is downloaded, you can:

• Transcribe audio to text (Whisper AI, Deepgram, AssemblyAI)
• Analyze the transcript with an LLM (Claude, ChatGPT) to extract:
  • Mentioned pain points
  • Solutions sought
  • Mentioned budget
  • Decision timeline

Complete Automated Workflow:

1. Monitoring: Script that monitors YouTube/LinkedIn to identify new videos containing your target keywords (prospect names, companies, competitors)
2. Download: As soon as a relevant video is detected, Hunt API downloads it
3. Transcription: Audio is automatically transcribed
4. AI Analysis: A Claude/ChatGPT prompt extracts key insights
5. CRM Enrichment: Insights are added to the prospect’s profile in your CRM

Result: Every time a prospect appears in a public video (webinar, podcast, conference), your sales team automatically receives a summary of key points mentioned.

Concrete Use Cases of Video Enrichment

Use Case 1: Advanced Competitive Intelligence

Your competitor organizes a webinar “How to scale your sales team with AI”. You want to know:

• Who participated (list of participants)
• What problems they mention in the Q&A
• What features of the competitor product are highlighted

Workflow:

1. Hunt API downloads the webinar replay
2. Video transcription
3. AI analysis to extract:
   • Questions asked by participants
   • Mentioned pain points
   • Raised objections
4. Enrichment: you identify 50 companies that participated → they’re in active research phase

ROI: You contact these 50 companies with an ultra-targeted message mentioning the specific problems they mentioned. Conversion rate 3 to 5 times higher than a classic campaign.

Use Case 2: Social Proof and Customer Testimonials

You’re prospecting a SaaS company that just raised $20M. You discover they published a case study video with one of their clients on LinkedIn.

Workflow:

1. Hunt API downloads the video
2. Transcription + AI analysis
3. Insight extraction:
   • Which KPIs they highlight (ARR growth, retention, NPS)
   • How they sell their value
   • What customer segments they target

ROI: You adapt your pitch to speak exactly in the terms they use themselves. You mention the KPIs they value. Result: meeting booked in 2 exchanges.

Use Case 3: Digital Presence Analysis

You want to understand how a prospect positions themselves publicly. You scrape all their public videos (YouTube, LinkedIn, podcasts).

Workflow:

1. Hunt API downloads the prospect’s last 15 videos
2. Transcription of all videos
3. Global AI analysis to identify:
   • Recurring topics (prospect’s obsessions)
   • Evolution of their discourse over time
   • Partners/tools they mention positively

ROI: You create an ultra-precise psychological profile of the prospect. You know exactly how to approach them, what words to use, what angles to prioritize.

Chapter 4: How to Build a Complete Enrichment Workflow (Contacts + Content)

Enrichment 2.0 combines traditional enrichment (Derrick for contacts) and multimedia enrichment (Hunt API for video content).

Architecture of a Complete Enrichment System

Layer 1: Contact Data Enrichment (Derrick)

You start with a list of prospects (names, companies, LinkedIn URLs).

Derrick automatically enriches:

• Professional emails
• Phone numbers
• LinkedIn titles and bios
• Company info (industry, employees, location)
• Technologies used (via Website Tech Lookup)
• Social profiles (Twitter, GitHub)

Discover all available enrichment workflows in Derrick.

Output: Google Sheets file with 50+ attributes per prospect.

Layer 2: Multimedia Content Monitoring

You configure automatic monitoring (via Python script or n8n) that watches:

• YouTube: new uploads containing your target prospect names
• LinkedIn Video: videos published by your prospects or mentioning their company
• Webinar platforms (ON24, Demio): events your prospects attend

To identify your target prospects on LinkedIn, master Boolean search on Sales Navigator.

Layer 3: Download and Transcription (Hunt API + Whisper)

As soon as a relevant video is detected:

1. Hunt API downloads the video
2. Whisper AI transcribes audio to text
3. Text is stored in your database

Layer 4: AI Analysis and Insight Extraction (Claude/ChatGPT)

A structured prompt analyzes the transcript:

Analyze this webinar transcript and extract:
1. The 3 main pain points mentioned
2. Solutions being sought
3. Budget mentioned (if any)
4. Decision timeline (if mentioned)
5. Tools/competitors mentioned

Transcript: [TEXT]

Output: Structured JSON with key insights.

Layer 5: Final Prospect Profile Enrichment

Extracted insights are automatically added to the prospect’s profile in your CRM or Google Sheets:

Result: 360-degree prospect profile combining static data AND dynamic behavioral insights.

Recommended Tech Stack

Here’s an example stack to fully automate this workflow:

Contact Enrichment:

• Derrick (Google Sheets native)
• Alternative: Apollo.io, Cognism

Also discover our comparison of the best email enrichment tools.

Video Monitoring:

• Python script with YouTube Data API
• n8n to automate monitoring
• Alternative: Zapier with webhooks

Video Download:

• Hunt API (no-code solution via API)
• Alternative: yt-dlp (open-source, requires dev)

Transcription:

• Whisper AI (open-source)
• Deepgram (paid API, very accurate)
• AssemblyAI (paid API, good quality)

AI Analysis:

• Claude API (via Derrick “Ask Claude”)
• ChatGPT API
• Alternative: fine-tuned model on your own prompts

Storage and Orchestration:

• Google Sheets (for sales teams)
• Airtable (for more structure)
• PostgreSQL + Retool (for tech teams)

Estimated Cost (for 1000 prospects/month):

• Derrick: $20/month (Medium plan)
• Hunt API: ~$50-100/month (depending on video volume)
• Whisper AI: Free (self-hosted) or $10-20/month (API)
• Claude/ChatGPT: $20-50/month (depending on usage)
• Total: ~$100-200/month

Compared to the cost of an SDR doing this work manually ($3000-4000/month), the ROI is immediate.

Chapter 5: Concrete Use Cases — Multimedia Enrichment in Action

Let’s now see how B2B sales teams concretely use multimedia enrichment to boost their results.

Case 1: SaaS Startup — Identifying Competitor Webinar Participants

Context: Sarah, Head of Growth at a Sales Engagement startup, wants to identify companies actively searching for solutions like hers.

Strategy:

1. Sarah monitors webinars organized by her 3 main competitors
2. As soon as a webinar is announced, she registers (or waits for public replay)
3. Hunt API downloads the replay
4. She analyzes the Q&A section to identify:
   • Questions asked (= participants’ pain points)
   • Names and companies mentioned
5. She cross-checks with LinkedIn Sales Navigator to identify participants
6. She enriches these profiles via Derrick (email, phone)

Result:

• 127 prospects identified in 1 month (competitor webinar participants)
• Email response rate: 42% (vs 8% on classic cold outreach)
• 18 demos booked (14% conversion)

Key success element: The approach message mentions the competitor webinar and reformulates the problems mentioned.

“Sarah here, I watched the [Competitor] webinar on sales sequence automation. You asked an excellent question about Salesforce integration — that’s a topic we master particularly well at [Startup]. Can I show you how we solve this in 15 min?”

Case 2: Lead Gen Agency — Analyzing Target Prospect Podcasts

Context: Marc, founder of a B2B lead gen agency, prospects VPs Sales and CMOs. He notices many of his prospects are invited to B2B podcasts (SaaStr, Revenue Collective, etc.).

Strategy:

1. Marc creates a list of 50 popular B2B podcasts
2. He configures a script that monitors new episodes (RSS feeds)
3. When an episode mentions a target prospect’s name, Hunt API downloads the audio
4. Transcription via Whisper AI
5. AI analysis to extract:
   • Challenges mentioned by the prospect
   • Their sales/marketing philosophy
   • Tools they use and appreciate
   • Their priority KPIs

Result:

• 23 “warm” prospects identified in 2 months (podcast guests)
• Meeting → client conversion rate: 35% (vs 12% agency average)

Key success element: Marc sends an ultra-personalized message:

“Marc here. I listened to your appearance on [Podcast Name] last week — excellent insight on lead scoring via multichannel engagement. At [Agency], we generate exactly this type of leads (email + LinkedIn + website engagement). Can I send you a campaign example we did for a company similar to yours?”

Case 3: Sales Ops Team — Automated Competitive Intelligence

Context: A SaaS scale-up’s Sales Ops team wants to understand how competitors evolve: new features, pricing changes, new use cases.

Strategy:

1. Monitoring YouTube channels of 5 main competitors
2. As soon as a new video is published (product demo, webinar, interview), Hunt API downloads it
3. Transcription + AI analysis to detect:
   • New features announced
   • Positioning changes
   • New targeted market segments
4. Insights are automatically sent to a Slack channel #competitive-intel

Result:

• Competitive reactivity: team informed in real-time of competitor evolutions
• Sales pitch adaptation in 48h (vs 2-3 weeks before)
• Identification of 3 new product differentiation opportunities

Concrete example: A competitor publishes a demo video of a new “AI-powered lead scoring” feature. The Sales Ops team identifies that their own product has a similar but better-integrated feature. They immediately create a battle card for sales reps with a clear differentiation message.

Chapter 6: Best Practices and Mistakes to Avoid in Multimedia Enrichment

The 7 Golden Rules of Video Enrichment

1. Quality > Quantity Don’t download all your prospects’ videos. Focus on high-value content:

• Webinars and conferences (buying signals)
• Podcasts and interviews (pain point insights)
• Case study videos (understand how they sell)

2. Respect Privacy and GDPR Analyzing publicly accessible content is legal, but:

• Only store what’s necessary
• Anonymize data when possible
• Document your sources and processing
• Allow prospects to exercise their rights (access, deletion)

3. Automate but Verify AI can make mistakes in insight extraction. Always:

• Have key insights validated by a human
• Cross-reference information with other sources
• Never send a message based on unverified analysis

4. Combine Video + Text Don’t limit yourself to videos. Combine with:

• Prospect’s LinkedIn posts
• Blog articles
• Forum/Reddit interventions

You thus obtain a complete behavioral profile.

5. Always Contextualize Mentioning the video in your approach is good. But showing you understood the context is better.

❌ “I saw you participated in webinar X” ✅ “You mentioned in webinar X that scaling your SDR team was a challenge — I have a concrete approach to share”

6. Timing is Everything Contact your prospects shortly after video publication (1-7 days max). Past this deadline, the “I saw your intervention” effect loses impact.

7. Test and Measure Track your KPIs:

• Response rate (emails mentioning video vs classic emails)
• Meeting conversion rate
• Qualitative prospect feedback

Adjust your approach based on results.

The 5 Mistakes to Absolutely Avoid

Mistake 1: Analyzing Irrelevant Videos Don’t waste time analyzing all videos where your prospect appears. Focus on:

• Recent content (< 3 months)
• Content related to their professional activity
• Public and assumed content (no private or out-of-context videos)

Mistake 2: Using Insight Too Literally ❌ “I saw you said X in video Y” → Too direct, can seem invasive

✅ “I came across your intervention at webinar Y — excellent point on X. By the way, we solve exactly this problem at [Startup].” → Natural, valorizing, solution-oriented

Mistake 3: Not Cross-Referencing Sources An isolated video can be misleading (specific context, momentary opinion). Always cross-reference with:

• Other videos from the same prospect
• Their LinkedIn posts
• Articles they published

Mistake 4: Storing Useless Data Don’t keep video files themselves (storage problem + GDPR). Only store:

• Text transcript
• Extracted insights (pain points, solutions sought)
• Metadata (date, source, title)

Mistake 5: Neglecting Compliance Even if content is public, document:

• Video source (URL)
• Collection date
• Processing purpose (commercial prospecting)
• Legal basis (legitimate B2B interest)

In the US, analyzing public business content is generally permitted under legitimate business interest, but always respect privacy best practices.

Checklist: Are You Ready for Multimedia Enrichment?

Before launching, verify you have:

Technical Foundations:

• [ ] A CRM or Google Sheets to store data
• [ ] Derrick or contact enrichment tool configured
• [ ] Hunt API account (or video download alternative)
• [ ] Transcription tool (Whisper AI, Deepgram, AssemblyAI)
• [ ] Access to Claude API or ChatGPT API for AI analysis

Process & Governance:

• [ ] Clear list of video sources to monitor
• [ ] Filtering criteria (which videos to analyze, which to ignore)
• [ ] Human validation workflow for insights
• [ ] Privacy documentation (purpose, legal basis, retention period)
• [ ] Personalized commercial approach templates

Team & Skills:

• [ ] At least one technical person capable of configuring scripts (or budget for no-code via n8n/Zapier)
• [ ] Sales reps trained to use video insights in their approaches
• [ ] Feedback process to improve workflow

If you check at least 8 boxes out of 12, you’re ready to start.

Chapter 7: Where to Start — Your 4-Step Action Plan

You’re convinced of multimedia enrichment’s value, but where to start? Here’s a progressive 4-step action plan.

Step 1: Classic Enrichment (Week 1)

Goal: Master basics before adding multimedia layer.

Actions:

1. Create a list of 100 target prospects (names, companies, LinkedIn URLs)
2. Enrich via Derrick to get:
   • Professional emails
   • Phone numbers
   • Titles and company info
3. Segment your list by:
   • Company size
   • Industry
   • Title (VP Sales vs SDR Manager vs CEO)

Result: Clean and exploitable database.

Estimated time: 2-3 hours (automated via Derrick).

Step 2: Manual Test on 10 Prospects (Week 2)

Goal: Validate approach before automating.

Actions:

1. Select 10 priority prospects
2. Manually search their public videos:
   • YouTube: “[Prospect Name] webinar”
   • LinkedIn: Recent video posts
   • Google: “[Prospect Name] podcast interview”
3. Watch 2-3 videos per prospect (15-30 min each)
4. Manually note:
   • Mentioned pain points
   • Solutions sought
   • Budget/timeline (if mentioned)
5. Send ultra-personalized email mentioning video

Result: Validation of response rate (expected: 25-40%).

Estimated time: 5-7 hours (including watching and email writing).

Step 3: Semi-Automation (Week 3-4)

Goal: Automate download and transcription.

Actions:

1. Create Hunt API account
2. Configure simple script (Python or n8n) that:
   • Takes a list of video URLs
   • Downloads via Hunt API
   • Transcribes via Whisper AI (or Deepgram)
3. Test on 20-30 videos
4. Manually analyze transcripts (not yet AI)
5. Extract insights and add to your Google Sheets

Result: You save 60-70% time (no more need to watch videos).

Estimated time: Initial setup 4-6 hours, then 2 hours/week for 30 videos.

Step 4: Complete Automation (Month 2)

Goal: End-to-end automated workflow.

Actions:

1. Configure automatic monitoring:
   • Script monitoring YouTube/LinkedIn for new content
   • Filtering criteria (keywords, prospect names)
2. Integrate AI analysis:
   • Structured Claude/ChatGPT prompt
   • Automatic extraction of pain points, solutions, timeline
3. Connect to your CRM/Google Sheets:
   • Insights automatically added to prospect profile
   • Slack notification when new “warm” prospect detected
4. Create approach templates:
   • Template A: prospect mentioned in webinar
   • Template B: prospect invited to podcast
   • Template C: company publishes video case study

Result: 100% automated workflow. You receive each week a list of “warm” prospects with key insights to use in your approach.

Estimated time: Setup 10-15 hours, then 1 hour/week maintenance.

Success Metrics to Track

Week 1-2 (manual test):

• Email response rate (target: 25-40%)
• Meeting conversion rate (target: 15-25%)

Month 1-2 (semi-automation):

• Number of videos analyzed per week (target: 20-50)
• Average time per prospect (target: < 30 min)
• Time ROI (time saved vs manual approach)

Month 2+ (complete automation):

• Number of “warm” prospects identified per week (target: 10-30)
• Overall conversion rate (target: 20-35%)
• Cost per qualified prospect (target: < $20)

Key Takeaways

• Traditional data enrichment (email, phone, firmographic) is no longer enough to differentiate in 2026
• Multimedia content (videos, podcasts, webinars) contains behavioral and contextual insights your competitors don’t exploit
• Hunt API automates video download and analysis from all platforms (YouTube, LinkedIn, Vimeo)
• Combining Derrick (contact enrichment) + Hunt API (video enrichment) creates an ultra-actionable 360-degree prospect profile
• Teams exploiting multimedia enrichment see their email response rates multiplied by 3 to 5
• Start with a manual test on 10 prospects before fully automating the workflow
• Always respect GDPR: only store what’s necessary, document your sources, allow rights exercise

Conclusion: Enrichment 2.0 as a Sustainable Competitive Advantage

We’re living through a pivotal period. Traditional B2B data (emails, phones, company info) has become a commodity. Everyone has access to it through the same tools.

Differentiation now happens on:

• Timing: contacting at the right moment (when prospect actively searches)
• Context: understanding real pain points, not generic ones
• Personalization: proving you really know your prospect

Multimedia enrichment gives you these three advantages. By analyzing your prospects’ public videos (webinars, podcasts, conferences), you access insights your competitors ignore.

Derrick helps you find who to contact. Hunt API helps you understand how and when to contact them.

Together, they form the enrichment 2.0 stack: contacts + content.

Sales teams adopting this approach in 2026 will have a sustainable competitive advantage. Those remaining on traditional enrichment will continue fighting with the same weapons as everyone else.

Your choice.

Start Enrichment 2.0 Today

Enrich your prospects with 50+ attributes directly in Google Sheets. Then integrate Hunt API for the multimedia layer.

Start for free →

FAQ

Is video enrichment GDPR compliant?

Yes, provided you only analyze public content and respect minimization and transparency principles. You must document video sources, processing purpose (B2B prospecting), and allow prospects to exercise their rights (access, deletion). Legitimate B2B interest authorizes this type of enrichment as long as data remains proportionate to the commercial objective.

How long does it take to analyze a 45-minute video?

With Hunt API and Whisper AI, the process is fully automated: download (2-5 min), transcription (3-5 min), AI analysis (30 seconds). Total: less than 10 minutes without human intervention. You no longer need to watch the video manually.

What video platforms does Hunt API work with?

Hunt API supports all major platforms: YouTube, Vimeo, LinkedIn Video, TikTok, Dailymotion, and most webinar platforms (Zoom, ON24, Demio). The complete list is available in their documentation.

What budget to plan for multimedia enrichment?

For 1000 prospects/month: Derrick ($20), Hunt API ($50-100 depending on volume), Whisper AI (free or $20), Claude/ChatGPT ($20-50). Total: $100-200/month. Compared to the cost of an SDR doing this work manually ($3000-4000/month), the ROI is immediate.

Are video insights really more effective than classic enrichment?

Tests show response rates 3 to 5 times higher when you mention a prospect’s recent video in your approach. Why? Because you prove you really know your prospect, not just their title and company. You create an immediate emotional connection.

Can you combine video enrichment and LinkedIn prospecting?

Absolutely. Recommended workflow: use Derrick to enrich your LinkedIn prospects (email, phone), then Hunt API to analyze their public videos. Finally, send an ultra-personalized InMail mentioning both their LinkedIn profile AND their last video intervention. Acceptance rate: 40-60% (vs 15-25% for a classic InMail).