Customer Show + Tell: How Corrina Owens Turns Interactive Demo Engagement Into Buying Signals

Corrina Owens
Corrina Owens
7 min read

Most teams treat interactive demos as a website asset or a conversion point. Corrina Owens, founder of Fractional ABM and a Navattic advisor, treats them as a source of buying intent.

At our Toronto Fanattic workshop, she walked through three signals she pairs with interactive demos, and how what buyers do inside a demo should shape what sales and marketing do next.

Highlights & results

  • Three signals, one playbook: Past champions, technographic data, and trial conversions, each paired with an interactive demo
  • Demo behavior as intent data: Time spent per section, completion, drop-off, and repeat visits feed account scoring and outreach
  • Sharper outreach: Messaging built on the demo sections buyers spent the most time in converted at a higher rate than outreach that only called out a CRM integration

The challenge: more touches, less time to sell

GTM teams are working harder for every meeting:

  • It takes 4x as many touch-points to convert an account to a meeting as it did five years ago
  • 63% of a sales rep's time goes to work that doesn't generate revenue

So when a buyer chooses to spend time in your product, that's worth acting on.

"When someone is willing to spend time with your product experience, when they're clicking through a demo, choosing a path, spending time on a feature, coming back more than once, that matters. But what are we then doing with that information?"

Most teams stop at "Company X visited the demo page." Corrina's point: the demo tells you far more than that, and most of it goes unused.

Where Navattic fits: the demo as first-party intent data

When Corrina builds or scales an ABM program, she starts with the same questions. Who is the core ICP? How did those accounts find us? Who was involved at each stage? What did they engage with?

Interactive demos add a layer most content can't. Teams can see which part of the demo an account spent the most time in, where they dropped off, and whether they came back. That changes who sales prioritizes and what they say next.

She also applies the 80/20 rule. There are hundreds of ways to slice who's in market, but at most companies she advises, one signal drives most of the results. The goal is to find it and scale it.

Here are the three signals she walked through.

Signal 1: Past champions

  • Signal type: First party
  • Data sources: CRM, social engagement, testimonials
  • Channel: Outbound

At one company, Corrina analyzed best-fit SMB accounts and found something useful: stakeholders at those accounts were leaving for VP+ roles at enterprise companies.

Knowing what a champion used before told the team which demo to show first. Then the demo data told them what to say next.

  • Revisiting familiar features? The champion is likely re-validating a tool they already trust.
  • Spending time in parts of the product they never used? They're evaluating something new for a bigger team, so sales adjusts the POV to match.

Signal 2: Technographic data

  • Signal type: Third party
  • Data sources: ZoomInfo + CRM
  • Channel: Outbound, paid social

One company Corrina worked with closed more net-new deals when target accounts invested in a new CRM, like Salesforce or Microsoft Dynamics. A third-party data alert flagged those accounts to both the account team and marketing, which kicked off a multi-channel outbound play.

Instead of a generic "we integrate with Salesforce" message, the team sent an interactive demo showing how buyers could view a specific segment of their spend in Salesforce with the product.

"Knowing their CRM was a starting point. It gave us a reason to reach out, but we didn't know what story would resonate the most."

The demo answered that. Sales used the sections each account spent the most time in to narrow their talking points, and that outreach converted at a higher rate than messaging the CRM integration alone.

Demo engagement also fed the scoring model. Full completion and multiple visits raised an account's score, which made it eligible for custom sales outreach and high-value offers.

Signal 3: Trial conversions

  • Signal type: First party
  • Data sources: CRM
  • Channel: Website, email

Another company had just acquired a new product line. Mid-merger, the team had limited access to the product backend, the CRM, and even the website. The free trial was the main driver of net-new revenue, so they looked for the fastest point of impact in the buying process.

The fix: trial signups who didn't engage got an interactive demo to pull them back in.

From there, the team saw which personas spent time in which parts of the demo and personalized the demos by role. Accounts that completed or dropped off the demo but still didn't activate were routed to a sales-assist motion to qualify or disqualify them.

The results: signals that tell sales what to say

Across all three plays, pairing signals with interactive demos gave Corrina's teams:

  • Better prioritization: Demo completion and repeat visits separated in-market accounts from casual visitors
  • Stronger talking points: Outreach built on demo engagement beat generic integration messaging
  • Role-based personalization: Persona-level engagement data shaped which demo each buyer saw next
  • Smarter sales-assist: Trial users who engaged with the demo but didn't activate got a human follow-up instead of another automated email

Map the signal to the demo

Corrina closed with an exercise for every team in the room. Start by naming the #1 signal that tells you an account is in market. It could be:

  • A past champion
  • Repeat website or pricing page visits
  • Trial activity or demo completion
  • Interest in a specific integration or product line
  • A hand raise from a certain persona

Then ask: if you knew that signal earlier, how should the buying experience change?

  • Would you show a different demo, or a shorter, deeper, or more technical one?
  • Would you route them to sales?
  • Would you move them into a different nurture?
  • Would you personalize by persona, industry, product line, or use case?
"Don't just name the signal. Map it to the demo experience."

Key takeaways

  • Treat demo engagement as first-party intent. Time per section, completion, drop-off, and repeat visits tell you more than a page visit ever will.
  • Find the one signal that matters most. Most companies have one signal that drives the majority of pipeline. Pair your demos with that first.
  • Let the demo write the outreach. The sections a buyer spends the most time in are the talking points sales should lead with.
  • Add demo data to your scoring model. Completion and repeat visits should move an account up the list.

See how interactive demos can surface buying intent for your team. Start for free or book a demo.

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