Iconic brands make incredible impressions with RTB House:

Timeless brands. Timely ads.
A journey over time.

Online ads must speak to a brand’s tradition while constantly reaching out to new users and taking advantage. 

Our ad campaigns, powered by Deep Learning algorithms and our proprietary IntentGPT feature, use first-party data to get a deeper understanding of customer intent. Users don’t just see random ads, we take them on a journey that shows them the right products at the right moment, and lead them to convert on products they will love for years to come.

01

First contact

An online or offline ad, a recommendation, or just a moment of chance can spark a buyer’s initial interest in an online site or a specific brand.

02

Browsing

The curious buyer visits a physical store first or the website. They may be looking for a specific garment or size, or be totally open to inspiration and discovery.

03

Behavior

Our end-to-end Deep Learning pipeline detects website visits and uses first-party signals to collect valuable behavioral data that becomes the fuel for personalized retargeting.

04

Recall

The user leaves your site. They’ve gone, but you’re not forgotten. 

Our context-driven IntentGPT feature helps choose the most effective placements for online ads, ensuring that the user recalls and re-engages with your brand.

The user leaves your site. They’ve gone,
but you’re not forgotten. 

Our context-driven IntentGPT feature helps choose the most effective placements for online ads, ensuring that the user recalls and re-engages with your brand.

05

The journey goes on…

Our ads are continuously optimizing as they re-engage existing users and reach out to potential new buyers who fit the general profile of an existing high-value customer.

The journey continues as these people come on board and fall in love with the brand.

Tried and tested

How do people know they’ll love your clothing until they’ve seen how it looks in the mirror?

Incrementality testing holds that mirror up to your ad campaigns, allowing you to measure the efficiency of your marketing efforts. Here's how it works.

01

Split

The audience is uniquely split into a test group that sees your ads frequently and a second control group that is only served one ad every seven days.

02

Test

We test for long enough to get clear results, but not so long that you miss out on a significant number of sales to people in the control group. The aim is to get back to full capacity as soon as possible.

03

Measure

After a reasonable testing period, we can measure exactly how many more conversions (and how much extra value) came from the test group who were inspired by your ads.

Incrementality testing measures conversions or sales which would not have happened without your ads. It proves beyond doubt the value of your campaigns.

Incrementality testing measures conversions or sales which would not have happened without your ads. It proves beyond doubt the value of your campaigns.

See 9 tips on how to improve campaigns with easy wins

Success stories

Don’t take our word for it. Look at what we’ve done for other big brands.

Ray-Ban

Multiple Retargeting Shines for Iconic Sunglasses and Eyewear Brand.

Steve
Madden

Utilizes Deep Learning Video Campaign to Extend New User Reach

Reserved

Fashion Retailer Grows In‑App Revenue with Retargeting

Stay on trend

Stay on trend

Stay on trend

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Let’s talk

Willem de Vries
(Senior Sales Manager BNX)

Contact us to talk about ad campaigns that reach people across generations X to Z.

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