Refining Messages Using Digital Twins of Customers

Marketing home renovation services is quite different from selling everyday products. After all, remodeling projects are high-involvement decisions. Homeowners spend weeks, if not months, going through contractors, comparing design ideas, and evaluating budgets before contacting a firm.

For remodeling companies, the challenge isn’t just getting attention; it’s delivering the right message at the right time in a homeowner’s decision journey.

This is where personas and digital twins can make a difference.

In the post, we’ll look at how a US-based home remodeling and design firm used Digital Twins of Customers by Delve AI to refine marketing messages, evaluate campaign ideas, and improve the effectiveness of their content plans.

About the Company

The client is a full-service home remodeling and design firm based in Virginia (United States), specializing in kitchen remodels, bathroom renovations, home additions, and whole-home transformations.

Like many modern remodeling firms, the company relies heavily on digital channels to generate new leads. For instance, prospective customers often discover their services through blogs, social media, and search engines before eventually scheduling consultations.

Since remodeling projects involve significant financial commitments, the marketing team places a strong focus on educating homeowners and building trust through content.

The Problem

The team had plenty of ideas. New blog posts, campaign concepts, landing page drafts, and email campaigns were constantly being created. But an important question kept coming up: would they actually work on homeowners?

Like many, they relied on brainstorming sessions and occasional customer feedback to guide decisions. While helpful, this approach obviously had its limitations:

• Feedback cycles were slow.
• Customer opinions were difficult to gather.
• Decisions often relied on guesswork rather than data.

Also, the customer journey for remodeling projects is complex. A homeowner casually browsing designs today may not be ready to contact a contractor for months. So the team needed answers to several additional questions:

• What kind of content builds trust during the research phase?
• When are homeowners most receptive to outreach?

The Solution

The client had relied on traditional customer profiles for guidance in the past. But these profiles were just static reference documents and often served more as documentation than interactive decision-making tools.

To get around this issue, the team needed a solution that could not only provide in-depth information about their customers but also allow them to test marketing ideas before launching them.

So, they chose Delve AI, a persona-based marketing platform that offers both capabilities in one place.

The Implementation

After signing up for Delve AI, the client began by creating research-based personas representing their typical customers.

These personas captured a wide range of behavioral and lifestyle attributes, including:

• Persona summary and personal aspirations
• Remodeling goals and motivations
• Budget considerations and purchase triggers
• Common concerns and challenges about renovation projects
• Lifestyle, interests, and household details
• Preferred content formats and research habits (social networks, news sources, and websites)
• Resonating hashtags, products, and pages
• Industry-specific insights based on customers' likely online queries

They also provided insight into how homeowners typically approach renovation projects with Customer Journey maps, from early inspiration and research to contractor evaluation and decision-making.

Once the personas were generated, the team converted them into digital twins via the Digital Twin of the Customer software. For those who don’t know, digital twins are interactive AI simulations built from your customer research data (personas).

These interactive simulations allowed the marketing team to chat with different persona segments and ask questions such as:

• How does this landing page message sound to you?
• Would this blog topic be useful during your renovation research?
• What concerns would you have before contacting a remodeling company?
• Does this email feel helpful or too sales-focused?

Since the responses are grounded in the persona’s goals and behaviors, the feedback closely mirrors how real customers might respond. In effect, this turned customer insights into always-available marketing advisors that the team could use across several workflows.

How the client used digital twins in their marketing workflow:

To begin with, the team employed digital twins to test message concepts. This let them quickly see which value propositions resonated most with homeowners, whether it was design expertise, pricing, or the convenience of a full design-build service.

The team also used personas to understand when homeowners are most receptive to outreach. Remodeling projects rarely begin with an immediate inquiry. With personas, the team found signals that indicate when homeowners were moving to action, like browsing project galleries, reading renovation guides, or researching budgeting tips.

Landing pages were another area. As they are often the first detailed interaction homeowners have with a remodeling company, the team switched to digital twins to review key elements of their pages, including:

• Headline messaging
• Value proposition clarity
• Calls to action
• Trust signals, such as testimonials

This helped ensure the pages addressed the real concerns homeowners typically have when evaluating remodeling contractors.

Educational content was a key part of the company’s marketing strategy. By analyzing personas and getting feedback from digital twins on common questions and concerns, the team created content outlines that focused on topics homeowners actually care about.

They also leveraged digital twins to review project spotlight articles that highlight completed renovations. Since these stories help homeowners visualize what’s possible in their own homes, the goal was to ensure they felt both relatable and informative. Sharing draft articles with the digital twins, they could easily assess whether the transformation was clearly communicated and identify additional details homeowners might want to see, like design challenges or before-and-after context.

Finally, the team used digital twins to critique their email campaigns. Before sending newsletters or promotional emails, they ran draft messages past their virtual customers to gather feedback on things like:

• Tone and messaging
• Whether the email felt helpful or too sales-focused

This allowed the team to adjust their email copy so it felt more like helpful guidance rather than direct marketing.

Results

The remodeling company gained a more structured way to personalize marketing messages after adding digital twins to its workflow. Instead of relying only on internal opinions, the team could now test ideas with simulated customer segments that reflected real homeowner preferences and motivations.

This approach helped the company:

• Discover new content opportunities aligned with homeowner interests
• Evaluate communication tone across landing pages, blogs, and emails
• Find the best time and signals for reaching out to prospects

Most importantly, the digital twins created a continuous feedback loop, allowing the team to explore ideas 24/7 and validate messaging without waiting for lengthy surveys or focus groups.

Final Thoughts

In the remodeling industry, trust and clarity play a huge role in purchasing decisions, which makes understanding homeowners incredibly important. By combining personas with digital twins of customers, the US-based firm found a practical way to test ideas, refine messaging, and create content that resonates with prospective clients.

Instead of guessing what homeowners want to hear, the team could now simply ask their digital customers and get quick feedback.

For marketing teams working in high-consideration industries like home remodeling, tools like Delve AI’s Digital Twin of Customer offer a practical way to turn customer insights into everyday decision-making support.