Home AI How Realtor.com Is Using AI Creative To Expand Its Ad Footprint

How Realtor.com Is Using AI Creative To Expand Its Ad Footprint

SHARE:
house magnifying glass real estate

The real estate market is constantly in flux, with sale prices and interest rates often changing overnight.

Real estate advertisers need to be able to shift spend in a hurry, which historically has been a big hurdle, according to Neil Golson, VP of brand and creative at Realtor.com.

To generate ad creative more quickly across a wider array of channels, Realtor.com has been working with AI-based ad startup BrandComms.AI.

The startup, which was founded in Australia in 2024 and launched in the US on Wednesday, aims to prevent human strategy and insight from getting lost in the “messy middle” between agency and brand, Chief AI Officer Isobell Roberts told AdExchanger.

Speeding ahead

BrandComms.AI was born out of insights consultancy Forethought.

The connection gives BrandComms.AI access to 30 years of proprietary training data, which it uses to train its predictive models on which factors are likeliest to drive creative success, like certain imagery or messages.

For years, Realtor.com’s creative marketing strategy mainly revolved around influencer posts and user-generated content like testimonials, said Golson. It was “very inexpensive to source and produce,” he said, and most of the budget went toward amplifying the content on social media.

Now, Realtor.com is able to accomplish “big marketing at low cost,” as Golson put it, and advertise across more channels. In particular, it’s been finding success with TV advertising, particularly when an ad includes an immediate call to action, like calling a phone number or visiting a webpage.

BrandComms.AI lets Realtor.com “do more, faster,” Golson said, pointing to quicker production and access to additional data, channels and content formats as the partnership’s “biggest unlocks,” he said.

The ability to generate new content quickly is particularly important when reacting to real-time market changes.

If mortgage interest rates suddenly drop, for instance, Realtor.com needs to respond and generate relevant ads quickly because, by the following week, the rates might be back to normal, said Golson.

Real estate agents 🤝 AI agents

BrandComms.AI blends market data with a company’s own assets and data to help generate more effective ads that resonate with a brand’s target audience.

Roberts described the strategy as a “communications triple play” or a three-pronged approach that includes one emotional driver and two rational drivers.

For instance, Realtor.com targeted new home sellers by focusing on reducing their anxiety (an emotion-based goal) while also providing resources to inform them about the selling journey and simplifying the process of finding a real estate agent to work with (which are rational or data-based goals).

Realtor.com found that sellers have a “massive fear of screwing up,” Golson said, in terms of marketing their homes and choosing the best realtor.

This common experience of anxiety wasn’t discovered with AI, though. Brand strategists figured that out through a mix of qualitative and quantitative customer research, said Golson.

Realtor.com uploaded this research, along with transcripts from client interviews and previous creative content and testing, to the BrandComms.AI platform, which generated a digital twin of Realtor.com’s target audience along with a series of ad concepts.

BrandComms.AI created a full draft of the ad Realtor.com wanted to run with, and its marketing team had the opportunity to provide feedback. Once the final version was approved, Realtor.com pushed it out across channels.

Rinse and repeat this process, and you have a fully fledged campaign.

According to Roberts, the BrandComms.AI platform integrates multiple AI models and uses an assessment tool to determine the best model for each task.

The models are constantly updating and have their own strengths and weaknesses, Roberts said, which is why BrandComms.AI works “across the whole spectrum of what’s hot right now.”

Remaining model-agnostic is “really important,” she said, as it allows BrandComms.AI to grow and evolve alongside the models themselves.

Must Read

New WBD Report Makes The Case For Getting The Measurement Basics Right

Warner Bros. Discovery has a new white paper analyzing the data and methodologies of five top video measurement providers: VideoAmp, iSpot, Comscore, Innovid and Samba.

Monopoly Man looks on at the DOJ vs. Google ad tech antitrust trial (comic).

Google And The DOJ Filed Their Proposed Final Judgments In The Ad Tech Case – Here’s What They’re Still Arguing About

Google and the Department of Justice filed the next round of paperwork that will determine what Google’s punishment will look like in the ad tech antitrust case.

T-Mobile Brings Its Mobile Data Exclusively To Vistar To Scale Up DOOH Targeting

Advertisers can now use Vistar to activate both off-the-shelf and custom audiences built on T-Mobile’s first-party location and app data.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Apple Has Far-Reaching Plans To Block Hundreds Of Programmatic Data Companies From iOS

Apple’s WebKit crackdown appears to extend well beyond The Trade Desk, putting hundreds of ad tech, data and identity vendors on a mysterious, dynamically updated block list.

Josh Reed, Zoom's VP of brand and content, speaking at AdExchanger's Programmatic IO event in New York City (September 28, 2006)

Zoom’s Marketing Challenge Is That It’s Too Well Known For Its Own Good

Zoom has 99% unaided brand awareness, which sounds great on paper. But there’s a catch: Most people still think it’s just a video-call app.

Why Agencies Think They Shouldn’t Own Agentic AI Tools Or The Data Used To Build Them

Agencies are differentiating their tech stacks by building custom agentic AI tools for their clients. And they’re rethinking owning those AI tools – particularly since licensing them creates new revenue streams.