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Estimated Read Time: 6–8 minutes

Key Takeaways

  • Paid media performance today is driven by relevance, not spend
  • Personalized video turns ads from interruptions into moments of recognition
  • AI removes the friction that once made personalization slow and expensive
  • Brands that personalize paid video at scale see stronger engagement and efficiency

Paid Media Didn’t Break, It Just Stopped Feeling Personal

Paid media used to be simple. You built a campaign, defined an audience, and pushed one message as far as your budget would allow.

For a long time, that worked.

But audiences changed. People scroll faster. They filter instinctively. And anything that feels generic, inauthentic, or indifferent gets ignored, especially video.

The problem isn’t that paid media stopped working.
It’s that most paid media stopped feeling like it was meant for anyone.

When ads don’t feel personal, they don’t feel relevant. And when relevance drops, performance follows.

Why Personalization Changes How Paid Media Performs

Personalized video changes the way ads are experienced.

Instead of feeling like an interruption, the content feels intentional. Viewers recognize themselves in the message. And that moment of recognition creates a very different response.

This isn’t just creative intuition; it’s measurable. McKinsey reports that companies who effectively leverage personalization capture up to 40% more revenue. In paid media, that advantage compounds quickly because:

  • Relevance improves engagement
  • Engagement improves efficiency
  • Efficiency reduces reliance on spend

Personalization turns ads from transactions into relationships.

Why Most Teams Haven’t Personalized Paid Video (Until Now)

If personalization performs better, why hasn’t everyone done it?

Because until recently, personalization was operationally painful.

Every new audience meant:

  • More edits
  • More approvals
  • More cost
  • More time

So teams defaulted to one-size-fits-most creative and tried to make up the difference with budget.

The strategy wasn’t wrong.
The workflow was.

From One Ad to Many Relevant Versions

The teams seeing the strongest results today aren’t asking, “What’s the one ad we should run?”

They’re asking, “How should this story show up for different people and different moments?”

Instead of rebuilding creative, they adapt the same core footage so it feels right by:

  • Channel (Social vs Paid Social vs Landing Page vs Email)
  • Audience segment
  • Stage in the buying journey

This isn’t about creating more content for volume’s sake.
It’s about making the same story feel intentional everywhere it appears.

Where AI Actually Belongs in Paid Media

AI’s role in paid media isn’t to invent stories or generate synthetic content.

Its real value is removing friction.

Used correctly, AI helps teams:

  • Utilize and adapt video quickly without rebuilding creative
  • Personalize messaging without sacrificing brand standards
  • Launch faster without increasing headcount

The result isn’t just speed.
It’s paid media that feels human at scale.

The Bottom Line

Paid media doesn’t need more spend.
It needs more intention.

Personalized video turns ads into moments of relevance instead of noise. And with the right system, personalization stops being a bottleneck and becomes a competitive advantage.

The next evolution of paid media isn’t louder creative.
It’s more human creative, delivered at speed.

Turn Paid Media Into a Personal Experience

Most paid media is optimized for reach. Very little of it is optimized for connection.

Personalized video changes that. It lets your ads feel relevant, human, and intentional, even at scale.

If you’re curious how enterprise teams are using real footage and AI to adapt video by channel, audience, and moment (without rebuilding everything from scratch), see how AdPipe makes personalized paid media possible.

Explore how AdPipe helps teams personalize video at scale →

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