Next-level
creative
digital
marketing
solutions
creative
digital
marketing
solutions
Cases
HBO Max:
Stream TV &
Movies
Stream TV &
Movies
The Challenge
HBO+ is a streaming application which contains tens of thousands of full episodes on demand from
hit series. HBO+ aims to acquire new quality mobile users in Brazil. Their main KPI was scaling Free
trial events at a set CPA cost. The Solution
HBO+ campaign started by analyzing the install to in-app purchase user flow, defining KPIs, and setting
expectations. The user flow for HBO+ install > register > Free Trial. HBO+ sending all relevant postback data from
mmp, a leading mobile app tracking & attribution analytics platform. Postback data included installs, registrations
and Free Trial.
From the start of the campaign, we conducted ads creative A/B testing, optimizing for CPIs. The team created
multiple tests across banners, videos, and interstitials.The campaign started on a CPI pricing model (optimize for app
installs). Moboost machine learning (ML) platform programmatically started to bid on ads solely to learn which users
were most likely to install the HBO+ app. Then moving to a CPA focus, aggressively seeking users most likely to
make an Free Trial. Free Trial increased by 140%
Install-to-action rates increased by 31%
HBO+ is a streaming application which contains tens of thousands of full episodes on demand from
hit series. HBO+ aims to acquire new quality mobile users in Brazil. Their main KPI was scaling Free
trial events at a set CPA cost. The Solution
HBO+ campaign started by analyzing the install to in-app purchase user flow, defining KPIs, and setting
expectations. The user flow for HBO+ install > register > Free Trial. HBO+ sending all relevant postback data from
mmp, a leading mobile app tracking & attribution analytics platform. Postback data included installs, registrations
and Free Trial.
From the start of the campaign, we conducted ads creative A/B testing, optimizing for CPIs. The team created
multiple tests across banners, videos, and interstitials.The campaign started on a CPI pricing model (optimize for app
installs). Moboost machine learning (ML) platform programmatically started to bid on ads solely to learn which users
were most likely to install the HBO+ app. Then moving to a CPA focus, aggressively seeking users most likely to
make an Free Trial. Free Trial increased by 140%
Install-to-action rates increased by 31%
The Results
The Challenge
ReiDoPitaco a Brazilian sports betting supplier. The company provides all kinds of betting needs including the English
Premier League, the US NBA, Tennis, MMA, American football, volleyball, Formula 1.The main goal was to drive quality
users in order to maximize revenue especially in the World Cup. To assess the success of their campaign, they looked
at a variety of metrics, but their main focus was FTD (First time desposit) cost. The Solution
By leveraging past learnings from similar sports and casinos campaigns, Moboost’s ML model could optimize the
sprots’ campaigns for higher spenders. Soon after setup, It began driving higher-value users to ReiDoPitaco,
maximizing the title’s ROI Creative testing also played a key part in attracting quality users to the app. After receiving designed assets from
ReiDoPitaco top campaign. The creative team found that MREC resonated much more with target audiences.
Moboost also tested UI-focused ads against story-focused formats and found that ads with more narrative—but that
also featured core gameplay—performed the best. The Results
Sign up rate increase 20%
FTD rate increase 15%
FTD cost decrease 20%
ReiDoPitaco a Brazilian sports betting supplier. The company provides all kinds of betting needs including the English
Premier League, the US NBA, Tennis, MMA, American football, volleyball, Formula 1.The main goal was to drive quality
users in order to maximize revenue especially in the World Cup. To assess the success of their campaign, they looked
at a variety of metrics, but their main focus was FTD (First time desposit) cost. The Solution
By leveraging past learnings from similar sports and casinos campaigns, Moboost’s ML model could optimize the
sprots’ campaigns for higher spenders. Soon after setup, It began driving higher-value users to ReiDoPitaco,
maximizing the title’s ROI Creative testing also played a key part in attracting quality users to the app. After receiving designed assets from
ReiDoPitaco top campaign. The creative team found that MREC resonated much more with target audiences.
Moboost also tested UI-focused ads against story-focused formats and found that ads with more narrative—but that
also featured core gameplay—performed the best. The Results
Sign up rate increase 20%
FTD rate increase 15%
FTD cost decrease 20%
Rei do Pitaco
- Brasileiro
- Brasileiro
The Challenge
The rapid rise of digital banks in Brazil has made the increasingly fierce competition and challenges
for Banco Inter, an established local bank. Banco Inter hopes to further increase the proportion of
accounts opened through remarketing, awakening silent users, recall lapsed users. The Solution
Through the analysis of Banco Inter's user conversion funnel, establish "completed account opening"
user portraits and "inactive/churn" user portraits respectively, expand the Lookalike crowd
characteristics through machine learning, and formulate recall strategies for different funnels. At the
same time, dynamic product information and other methods are used to display multiple types of
material content to attract users to open the application and improve the probability of users
completing account opening. The Results
The bottom result: a 25% increase in return on ad spend (ROAS), a nearly 40% reduction in account
opening costs, and a significant increase in user conversion rates.
The rapid rise of digital banks in Brazil has made the increasingly fierce competition and challenges
for Banco Inter, an established local bank. Banco Inter hopes to further increase the proportion of
accounts opened through remarketing, awakening silent users, recall lapsed users. The Solution
Through the analysis of Banco Inter's user conversion funnel, establish "completed account opening"
user portraits and "inactive/churn" user portraits respectively, expand the Lookalike crowd
characteristics through machine learning, and formulate recall strategies for different funnels. At the
same time, dynamic product information and other methods are used to display multiple types of
material content to attract users to open the application and improve the probability of users
completing account opening. The Results
The bottom result: a 25% increase in return on ad spend (ROAS), a nearly 40% reduction in account
opening costs, and a significant increase in user conversion rates.
Inter & Co
Blogs
Moboost enables publishers to supercharge their
monetization and revenue growth with in-app bidding by expanding our customers’ access to premium demand through our unified auction.
Over the last 2 years, we’ve seen a huge increase in
revenue flowing through in-app bidding, we want to share perspective surround in-app bidding, as well as best practices for generating higher revenue from apps. What are the advantages and
challenges of in-app bidding
and integrating new bidders?
monetization and revenue growth with in-app bidding by expanding our customers’ access to premium demand through our unified auction.
Over the last 2 years, we’ve seen a huge increase in
revenue flowing through in-app bidding, we want to share perspective surround in-app bidding, as well as best practices for generating higher revenue from apps. What are the advantages and
challenges of in-app bidding
and integrating new bidders?
Moboost enables publishers to supercharge their monetization and revenue growth with in-app bidding by expanding our customers’ access to premium demand through our unified auction.
Over the last 2 years, we’ve seen a huge increase in revenue
flowing through in-app bidding, we want to share perspective surround in-app bidding, as well as best practices for generating higher revenue from apps.
Over the last 2 years, we’ve seen a huge increase in revenue
flowing through in-app bidding, we want to share perspective surround in-app bidding, as well as best practices for generating higher revenue from apps.
How In-app Bidding Drives
Monetization?
Monetization?
With waterfall and in-app bidding, how can
you evaluate what’s working in your ad mediation strategy and what’s not?
you evaluate what’s working in your ad mediation strategy and what’s not?
In-app bidding enables developers to increase revenue with
more automated workflows to drive long-term business
growth. It saves them time and effort that could have gone
toward building new apps or optimating their apps.
more automated workflows to drive long-term business
growth. It saves them time and effort that could have gone
toward building new apps or optimating their apps.
While moving to bidding and testing for incrementality will
take time, the benefits in the mid- and long-term outweigh
the cost.
The paramount challenge for app developers is that they
need to stop doing things the way they used to and adapt
to a new monetization approach. Many of these perceived
challenges can be addressed by having a mediation
partner that can offer a lot of bidders and an
easy-to-integrate SDK.
take time, the benefits in the mid- and long-term outweigh
the cost.
The paramount challenge for app developers is that they
need to stop doing things the way they used to and adapt
to a new monetization approach. Many of these perceived
challenges can be addressed by having a mediation
partner that can offer a lot of bidders and an
easy-to-integrate SDK.
How can publishers increase the eCPM of
bidding networks? Can they use non-bidder
networks to do that?
bidding networks? Can they use non-bidder
networks to do that?
We recommend adopting a strategy based on your
geo-composition and the ad formats in your apps.
Increasing the number of demand partners is always a great
choice to start increasing your ad revenue. it’s critical to find the
right partners in the best regions that make sense for your
audience and have them buy in an open auction.
geo-composition and the ad formats in your apps.
Increasing the number of demand partners is always a great
choice to start increasing your ad revenue. it’s critical to find the
right partners in the best regions that make sense for your
audience and have them buy in an open auction.
Does in-app bidding increase eCPM of
banners?
banners?
When developers use in-app bidding and enable the right demand
partners based on their geo-composition and ad formats,
competition per each bid and impression opportunity increases.
This increases ad impressions per DAU, which is due to improved
ad serving times and higher CPMs driven by top mobile
advertisers bidding to win the auction.
partners based on their geo-composition and ad formats,
competition per each bid and impression opportunity increases.
This increases ad impressions per DAU, which is due to improved
ad serving times and higher CPMs driven by top mobile
advertisers bidding to win the auction.
