CASE STUDIES INDUSTRY SPECIFIC
CASE STUDIES
CASE STUDY
CASINO APP USER ACQUISITION Challenge: A top casino app wanted to drive quality app installs—users that would produce high in-app purchases.
Approach: TrueData delivered an audience of app users that had purchased in (IAP) or installed other casino apps. This was deployed within a day on their DSP seat at The Trade Desk..
Results: TrueData iOS IAP data was 50%+ and install data was 20%+ more eective at driving quality installs than their existing campaign targeting.
CASE STUDY
GAMING APP USER ACQUISITION Challenge: A top-grossing mobile role-playing game was having trouble ďŹ nding third-party data sets that could achieve the UA metrics of its ďŹ rst-party data.
Approach: They fed audience segments composed of TrueData In-App Purchasers into Facebook lookalike modeling to do audience expansion.
Results: The TrueData audiences delivered a 110% lift in return on advertising spend across Android and iOS vs their control.
CASE STUDY
APP MONETIZATION Challenge: A shopping app was receiving a lot of inbound requests to license its unique data assets. It needed a monetization partner to productize its data, manage its deal flow, and generate new licensing opportunities.
Approach: TrueData collected and managed registration, location and custom shopping event data, offering newly productized data sets to the market.
Results: The app was able to commercialize its shopping data, create six figures of new found revenue, all with no recurring engineering investment.
CASE STUDY
APP MONETIZATION Challenge: A publicly traded, leading Android app developer possessed a unique set of mobile permissions and data signals from their varied portfolio of apps.
Approach: TrueData worked to ensure privacy compliance, as well as organize and productize their 26MM MAU into 1.8BN unique segments before distributing to over 50 DSP’s.
Results: Despite short session time and capped ad monetization potential, TrueData opened up a multi six-ďŹ gure passive income opportunity with no changes to UX and no impact on churn.
CASE STUDY
RETAIL VISITS CONVERSION Challenge: A Forbes top-10 delivery-based retail chain was experiencing a 6.1% decline in same-store visits, and sought to drive more in-store traďŹƒc via mobile marketing. They tested +20 data partners via The Trade Desk DSP.
Approach: Using data from 290+ apps, TrueData provided performance-based audience bundles to accurately target predominantly male mobile users interested in sports & gaming, entertainment, and food delivery.
Results: TrueData generated a conversion rate 2,000% higher than the campaign baseline, and TrueData was the #1 performing data partner.
CASE STUDY
RETAIL GROCERY APP USER ACQUISITION Challenge: A Fortune 50 retailer wanted to promote awareness of its new online grocery app among a ďŹ ercely competitive delivery market.
Approach: TrueData was used to target the retailer’s current customers to entice them to try the grocery service, and was also used to target the "food/drink delivery" category of apps to reach consumers who are heavy adopters to delivery services.
Results: Due to exceptional performance that exceeded campaign benchmarks, the client increased their investment with TrueData by 920%, quarter over quarter.
CASE STUDY
ENTERTAINMENT CUSTOMER SEGMENT TARGETING Challenge: A top-3 national broadcast network wanted to reach two distinct segments, Cord Cutters and Traditional Cable Subscribers, in order to upsell and cross-sell its services more eectively.
Approach: TrueData was utilized to pinpoint Cord Cutters and Traditional Cable Subscribers based on the apps downloaded on their devices. The data was pushed to their [TradeDesk] DSP seat so that the audiences could be uniquely targeted.
Results: Based on third-party reporting, TrueData provided a double-digit lift in the advertiser’s streaming app downloads, and data budget allocation to TrueData more than doubled month over month.
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CASE STUDY
IMPROVING ROAS FOR A TOP GAMING APP Challenge: A top casual gaming app publisher was not reaching its D7 ROAS benchmark with traditional retargeting and lookalike Facebook audiences, and were looking for new strategies to optimize KPIs.
Approach: TrueData ran a Mobile Intelligence Report and discovered that the app’s existing users were 10-21x more likely to have 5 competitive apps installed on their device. TrueData then built a custom audience segment of users with these competitive apps installed. The app publisher fed the TrueData Audience Segment into Facebook and ran an A/B test against its existing lookalike audience campaign.
Results: The user acquisition team saw a 110% lift in return on advertising spend. month over month.
CASE STUDY
CUSTOM DATA FEED Challenge: A top music streaming app wanted to collect user-level app ownership, bluetooth, location, and device characteristics with minimal data engineering effort and storage costs.
Approach: We recommended the mobile app install our SDK for collection, ingestion, and normalization of the data, which we would stream back to the app via its own internal systems. This service was offered for free as a value-add to working with TrueData since the app was contributing to our data co-op.
Results: The mobile app is now collecting granular data with high fidelity on its more than 1 million global daily active users, all with no ongoing overhead, in terms of engineering efforts or server costs.
CASE STUDY
INCREASING ARPU WITH TRUEDATA Challenge: A publicly traded, leading Android app developer was collecting location, registration, demographic, and bluetooth permissions from multiple apps. It did not have a workflow for normalizing the format of the data or driving revenue from these data assets and requested TrueData’s assistance.
Approach: TrueData set up a bulletproof consent management workflow to ensure privacy compliance across the EU and US. We organized and productized their 26MM MAUs into 1.8BN unique segments before distributing to over 50 DSPs.
Results: Despite capped ad monetization potential, TrueData opened up a >$100K passive revenue stream for the app publisher without impacting UX.
CASE STUDY
RETAIL CUSTOMER SEGMENT Challenge: A top-3 retailer wanted to identify and target customers with competitor apps downloaded.
Approach: TrueData ran a Mobile Intelligence Report to analyze other apps that indexed highly against our clients' app. We found that the "DIY" segment was pronounced across both the retailer and competitor apps, and suggested they implement this intelligence into their targeting strategy.
Results: One month into the campaign, TrueData's DIY segment delivered a CPA 50% lower than the campaign benchmark.