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Online Gambling Case Study카테고리 없음 2021. 1. 15. 04:50
Sports Betting and Online Gambling: 11% Boost in Conversion
Based on Ko et al. (2006) studies that internet and computer usage have become popular worldwide but also have negative impact on some individuals and on society at large. According to Young (1996), addiction to the internet is the same as addiction to gambling, drugs, and alcohol. Push ads and Gambling offers are a brilliant couple to make a profit. Of course, if you know how to do it right. Affiliate marketing expert Joey Babineau shows the masterclass on real Gambling offer on Push ads. Here you’ll find how to set up and optimize gambling ad campaign. Also, we’ll show creatives, landing page examples, and some useful tricks. Online betting platforms continue to spring up in their droves, along with traditional online casinos. It’s no secret though that as per the regulations governing the operation of such betting platforms as casinos, a certain portion of what they rake in, in earnings, has to be paid back to the players who take a punt on those platforms, as winnings.
Campaign Goal: Acquire new users of a sports betting service
Challenge:
This online betting company had discovered that by offering a welcome bonus to users who register, it could entice new customers to its site. Now the owner was keen to open the spigot and dramatically increase the number of qualified users to target.
Programmatic advertising could easily scale up the campaign — but the company needed a better understanding of who to target.
Audience: Gambling | Casino / Poker / Sport
Targeting Strategy:
Online Gambling Case Study Guides
The client leveraged Digiseg’s Google Analytics plug-in to gain a better understanding of the consumers who converted via the welcome bonus promotion. The exercise — which analyzed converters based on household characteristics — was eye-opening. 82% of converters are young, and it didn’t matter if they were single, married or had children.
But education and household tech-levels were a different matter. Only 25% of highly educated people converted, and people from households with low tech levels were far more likely to convert from those with high tech levels. To drive performance, Digiseg targeted young people, suppressing highly educated and high tech level households.Composition:
Lifecycle A,B + Education A,B + Tech level B,CResults:
Digiseg data delivered an 11% boost in the number of new users compared to Google Ads activities. Compared to other behavioral programmatic line items, Digiseg audiences resulted in in a CPA improvement of 9%Impressoins CTR Lift In Subscriptions 7.3 million 0.36% 11% Online Gambling Case Study Abroad
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