Streaming Media https://s34035.pcdn.co/category/case-studies/industry/streaming-media/ Kochava Wed, 30 Aug 2023 23:40:58 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.2 https://s34035.pcdn.co/wp-content/uploads/2016/03/favicon-icon.png Streaming Media https://s34035.pcdn.co/category/case-studies/industry/streaming-media/ 32 32 Spotify Drives Incremental Lift for McDonald’s with Custom Campaign Strategy https://s34035.pcdn.co/blog/spotify-drives-incremental-lift-for-mcdonalds-with-custom-campaign-strategy/ Mon, 09 Jan 2023 20:18:29 +0000 https://www.kochava.com/?p=47855 The post Spotify Drives Incremental Lift for McDonald’s with Custom Campaign Strategy appeared first on Kochava.

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CASE STUDY

Spotify Drives Incremental Lift for McDonald’s with Custom Campaign Strategy

VERTICAL: Streaming & QSR   |   SOLUTION: Kochava Foundry, MediaLift

TAKEAWAYS

McDonald’s Australia partnered with Spotify to explore customer streaming behaviors in order to improve campaign targeting to increase engagement and conversions in the MyMacca’s app. The data empowered the Spotify Research team to perform custom behavioral analysis and segment users into a variety of key target audiences (Gen Z, Families, Families in Car, etc.) for campaign activation.

Challenge

Spotify ran a multi-media campaign for McDonald’s, targeting the audience segments curated from the custom behavioral analysis. Spotify users were served a combination of audio, video, and creative display ads for McDonald’s.
With millions of impressions delivered, McDonald’s needed to understand the incremental lift impact of the Spotify campaign strategy on conversions in the MyMacca’s Rewards app.

Solution

McDonald’s looked to Kochava, the mobile measurement partner (MMP) trusted for monitoring performance of their mobile app properties worldwide. McDonald’s Australia leverages the Kochava platform to measure installs and in-app events (including Registrations and Orders) within the MyMacca’s app.

To assess the true incremental lift of this customized Spotify campaign strategy, Kochava’s internal team of data scientists and analysts, Kochava Foundry, dissected the Spotify campaign impression data and holistic MyMacca’s app activity data. Leveraging proprietary methodologies, Kochava Foundry segmented the test group exposed to the campaign and then modeled a forensic control group of lookalike users who were not touched by the campaign. Differences in down-funnel conversion performance within the MyMacca’s app were analyzed between the test group and modeled control group to determine the incrementality of the campaign.

Impact

The MediaLift study by Kochava Foundry demonstrated that the custom Spotify campaign produced positive incremental lift in driving new rewards registrations and overall food and drink orders in the MyMacca’s app. Nuances were also observed in performance response across target audiences, with Gen Z and Families significantly outperforming. Additional insights were uncovered related to creative exposure variations (video overlay, audio, display) and impression frequency impact on performance. The collective learnings will inform ongoing campaigns for maximum performance as the joint partnership grows.

“This was such a uniquely tailored campaign strategy for McDonald’s and we were thrilled Kochava Foundry was able to independently analyze the incremental impact of the effort.”

– Advertiser Analytics Research Manager, Spotify Advertising

Contact Kochava today to see how we can help.

This use case is one example of the impact of Kochava solutions for advertisers. Kochava makes no guarantee of individual results.

The post Spotify Drives Incremental Lift for McDonald’s with Custom Campaign Strategy appeared first on Kochava.

]]> Churn Modeling Boosts Retention https://www.kochava.com/blog/case-study-media/ Thu, 15 Aug 2019 17:27:14 +0000 https://www.kochava.com/?page_id=23515 The post Churn Modeling Boosts Retention appeared first on Kochava.

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Case Study: Improve Retention With Predictive Churn Modeling

VERTICAL: TELEVISION AND MOVIE STREAMING SUBSCRIPTION SERVICE   |   SOLUTION: PREDICTIVE CHURN MODELING   |   DOWNLOAD PDF

case studies numbers s CHURN k Increase Monthly Revenue
case studies numbers s CHURN Retention Boost

PROBLEM
A content-streaming service was averaging approximately 350K new users a month, but retention rates were low, less than 7%. The marketing team wanted to improve retention and drive more users to convert through their pay wall to become paid subscribers.

SOLUTION
By enabling predictive churn modeling within the Kochava platform, machine learning analyzed user engagement for the first seven days post-install and accurately predicted the likelihood of users to churn (abandon the app) within the next 30 days. Users with high and medium-high churn likelihood scores were segmented into a dynamic audience and targeted with a special offer via a push message campaign. The marketing team composed several different message segments and used Kochava’s automated A/B/n testing to prioritize the highest performing segments.

Churn Graphic

IMPACT
After one month, the company saw a 3X boost in user retention rates. Higher retention overall drove an 11% increase in paid subscriptions, resulting in a $56K increase in monthly revenue. The marketing team, pleased with the results of the test, has set up automated audience segmentation on the predicted churn scores and uses it for a dynamic, always-on push message campaign to drive growth.

Preventing churn is more cost effective than continuously searching for new users.

Contact Kochava today to see how we can help.

This use case is one example of the impact of Kochava solutions for advertisers. Kochava makes no guarantee of individual results.

The post Churn Modeling Boosts Retention appeared first on Kochava.

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