How CreateCX Uses REP AI to Turn Customer Experience Into a Revenue Channel for Clients

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As a consulting firm working with 20+ ecommerce brands, CreateCX acts as a fractional VP of Customer Experience, helping companies design support systems, scale operations, and optimize performance across the entire CX ecosystem.
But while most CX agencies are hired to improve support, CreateCX didn’t stop there. They wanted to make sure every client’s CX actually drives revenue.
That’s what led CreateCX to REP AI.
From support optimization to revenue generation
Traditionally, AI in customer experience has been positioned as a cost-saving tool.
Reduce tickets. Deflect volume. Improve response times. But CreateCX saw a different opportunity.
As Leeor Cohen, Founder and CEO of CreateCX, explains:
“Some brands are mainly interested in using AI to reduce support volume. Others want to turn CX into a revenue-generating channel.”
That distinction became central to how the agency evaluates technology for its clients.
Instead of asking “What tool can automate support?” They started asking: “What tool can turn customer conversations into revenue?”

Why CreateCX chose REP
REP stood out immediately. Not because of automation, but because of what it enables.
“It’s one of the few CX AI tools that focuses on revenue generation, not just ticket automation,” Leeor said.
For CreateCX, that mattered for two reasons:
1. It aligns with how they position CX
CreateCX treats it as a business driver. REP allows them to operationalize that philosophy by:
- Identifying customer intent in real time
- Guiding shoppers toward purchase
- Tracking revenue tied to conversations
- Showing exactly which interactions drive results

2. It proves value quickly
Agencies don’t want to introduce new tools unless they can justify them—fast. That’s where REP’s speed to value stood out.
“Many AI tools take months to implement and optimize. With REP, brands can start seeing results within a month or even sooner.”
That quick ROI is critical.

How REP fits into CreateCX’s service model
CreateCX operates across four core pillars:
- Help desk management
- Process design
- Staffing
- AI implementation
REP fits directly into the fourth pillar, but its impact extends across all of them.
Instead of being a standalone tool, REP becomes part of a broader CX strategy that’s layered onto existing workflows without requiring a full operational overhaul.
That allows CreateCX to:
- Introduce AI without disrupting support teams
- Align automation with existing processes
- Maintain brand voice and CX quality
- Add a measurable revenue layer on top of support
Proof in practice: HigherDOSE
HigherDOSE is one example of how this partnership plays out in practice.
The brand already had a strong CX operation in place. REP wasn’t introduced to fix support, it was introduced to add a revenue layer on top of it.
Within the first month, REP revealed something the team had never seen before:

For CreateCX, this validated the model. “REP effectively created a new revenue stream by monetizing existing website traffic,” Leeor said.
A new model for CX agencies
For agencies, the quality of the partnership matters just as much as the product.
CreateCX needed a partner that could evolve alongside them and their clients. According to Leeor, “The REP team has been responsive, open to feedback, and willing to bring the right people into conversations.”
More importantly, it gave the agency something it could bring to other clients:
A proven way to turn CX into a measurable growth channel.
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