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"Mobile-focused advertising and app monetization solutions."

This company offers a suite of mobile advertising solutions, helping businesses connect with consumers through apps and streaming platforms. Employing AI technologies, they help acquire users, optimize app monetization, measure marketing performance, and enhance ad inventory. Their tools cater to various segments, driving growth through targeted ad campaigns, intuitive analytics, and comprehensive market insights.
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Applovin's Website Claims...
Our AI found these claims on Applovin's website.
Massive user reach
AppLovin claims that it connects businesses to over 1.4B daily active users, enhancing engagement and driving growth.
AI-driven advertising
AppLovin claims that its AI-based advertising engine continually improves, optimizing user acquisition and monetization.
Multi-channel success tools
AppLovin claims that its advanced solutions enable businesses to achieve multi-channel success and accelerate growth.
BlurbSTAR Case Study
Underdog Fantasy & AppLovin
AppDiscovery optimizes Underdog’s marketing efficiency via AI-driven strategy.
26%
CPE reduction
170M+
CTV reach households
1.
Situation
Season Challenge Drives Strategy
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Needed competitive edge for NFL season.
β†’
Sought efficient and scalable marketing.
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Focus on attracting new customer segments.
Underdog Fantasy needed to gain a competitive advantage by expanding beyond traditional search and social platforms for the NFL season. The challenge was to identify new efficient channels while ensuring scalability and cost-effectiveness. As a rapidly growing sports gaming company, Underdog aimed to enhance customer engagement through innovative marketing strategies.
2.
Task
Explore New Marketing Channels
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Leverage AppDiscovery for new channels.
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Target engaging, yet cost-effective methods.
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Ensure success without inflating CPM.
Underdog’s task was to experiment with channels to unlock high-volume, high-value marketing sources. They faced the challenge of achieving customer engagement through cost-efficient methods. AppLovin's AppDiscovery presented an opportunity to dip into mobile and CTV campaigns, ensuring they reached the right audience efficiently, whilst maintaining desired Cost Per Event (CPE) metrics.
3.
Action
Utilize AI-Driven Solutions
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Initiated CPE campaigns via AppLovin.
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Engaged users across mobile & CTV.
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Utilized performance pricing and AI for precision.
Underdog implemented AppLovin’s AI-driven AppDiscovery for mobile and CTV campaigns, targeting sports fans effectively. Initially, they used a CPE model for mobile, later extending to CTV, which helped reach audiences on big household screens. The campaigns used solid performance metrics, evaluating results with a third-party mobile measurement partner (MMP). This AI-driven approach allowed precision in targeting suitable audiences.
4.
Result
Achieving Marketing Success
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26% CPE reduction within two months.
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Matched efficiency of social media giants.
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Solidified inclusion of CTV as core strategy.
The adoption of AppLovin's AppDiscovery established a prominent, efficient channel achieving a 26% reduction in CPE in just two months. The tool’s AI capabilities enabled Underdog to match the scale and efficiency of social platform giants. The success in both mobile and CTV marketing channels further solidified their strategy, ensuring continued investment in this direction for significant user engagement growth.
Keywords
UNDERDOG FANTASY
APPLOVIN
APPDISCOVERY
AI-DRIVEN MARKETING
CUSTOMER ENGAGEMENT
CPE REDUCTION
CTV CAMPAIGNS
SPORTS GAMING MARKETING
MOBILE ADVERTISING
MARKETING STRATEGY
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1.
How do you track and attribute conversions across different channels (DTC, Amazon, Walmart, Target, etc.)?
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2.
What attribution models do you support (last-click, multi-touch, data-driven, incremental, media mix modeling)?
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3.
How do you handle first-party data, and do you integrate with our CRM, CDP, or customer databases?
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4.
Can your platform track users without relying on third-party cookies, and how do you handle privacy compliance (GDPR, CCPA)?
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5.
Do you provide Amazon Attribution or retail media tracking across different marketplaces?
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6.
Can your solution measure the impact of ads on both online and offline sales?
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7.
What integrations do you offer with ad platforms (Google, Meta, TikTok, Amazon Ads, DSPs, etc.)?
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8.
How frequently is attribution data updated, and do you offer real-time reporting?
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9.
How do you measure incrementality, and do you support A/B testing or holdout groups?
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10.
What is your pricing model, and how does it scale with our business?
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Applovin
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