RTB House Review

Case 1 – Zalora

ZALORA is Asia’s online fashion destination. Founded in 2012 by Rocket Internet, the company has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong, Taiwan, Thailand and Vietnam offering an extensive collection of top international and local brands, as well as apparel, shoes, accessories, and beauty categories for men and women.

THE CHALLENGE

Personalization is a huge part of customer experience. Today’s consumer expects the ads shown to them online to be relevant to what they are currently interested in, as well as pertinent to their personal taste and style. Thus, ZALORA was looking for a retargeting provider that would be able to run large and highly effective personalized retargeting campaigns in different APAC markets, on a performance-based model.

THE SOLUTION

RTB House launched separate campaigns for new customer acquisition and for existing users, covering 6 countries in APAC – Singapore, Malaysia, Indonesia, the Philippines, Taiwan and Hong Kong. Due to their solid effectiveness, RTB House was able to launch those campaigns in 2 additional markets, Thailand and Vietnam, belonging to Central Group, Thailand’s largest retail conglomerate.

THE RESULTS

With the help of RTB House’s advanced retargeting technology, users who shop on ZALORA are served exclusively personalized adverts and offers based on their unique fashion and shopping interests.

More than 0.5M sessions delivered every month.

Conversion value increased by over 30% (Compound Monthly Growth Rate).

498% ROAS from combined retargeting activities across all markets.

Case 2 – OLX

OLX is a global classifieds platform with almost 260 million users and over 19 billion page views per month. In Romania, OLX.ro is the biggest classifieds platform according to user choice.

THE CHALLENGE

The challenge was to increase the number of messages exchanged between online buyers and sellers as well as to split the advertising campaign into mobile and desktop channels.

THE SOLUTION

RTB House recommended its personalized retargeting solution dedicated to well-established e-commerce players. The company prepared various retargeting scenarios adjusted to client-specific goals. This allowed highly tailored creatives to reach individual web users real-time, based on their unique product preferences and search history.

STEP 1: A user visited OLX.ro and checked for something interesting, but didn’t contact any seller to find out more details and left the website.

STEP 2: Then, RTB House displayed such user its unique personalized banner with OLX.ro products.

STEP 3: After clicking on the advertising banner, the user was redirected to the OLX.ro website, where he could contact the sellers.

THE RESULTS

OLX’s banners were displayed almost 155 million times on desktop and over 41 million times on mobile devices depending on the device type that was used to visit OLX’s site.

RTB House campaign reached Client’s business goals. It generated over 1.7 million of clicks via desktop and over 550.000 clicks via mobile channels.

Case 3 – Flyin.com

Flyin.com is the number one Online Travel Agency in Saudi Arabia. It is the one-stop-shop for the Modern Traveler, both for flights and hotel bookings.

THE CHALLENGE

Flyin.com wanted to tie up with a retargeting partner that could help them to re-engage in-market travellers by showing them highly relevant offers at the right time. They wanted to increase the number of flight bookings while maintaining high ROAS.

THE SOLUTION

RTB House launched dynamic display retargeting campaign where every past visitor was shown personalized offers comprising of travel destinations that might interest them the most and inspire bookings. An RTB House’s technology powered by deep learning automatically formulated a tailor-made bidding model and offer-recommendation strategy based on user’s behavior and travel preferences. User’s engaged with Flyin.com via various devices that included mobile phones, tablets, PCs and game consoles. Thanks to good campaign’s optimization conversions were maximized while maintaining client’s high ROAS goal.

THE RESULTS

The ROAS (Return on Ad Spend) of the campaign exceeded 14:1.

Approx. 90% of re-engaged users were New Potential Buyers (people who have never purchased anything from a client but might have put products in a basket in the past).

74% average campaign’s Revenue Growth (month-on-month).

33% increase in Retention Rate.

23% increase in overall Conversion Rate.