5 Self-Service Platforms for Mobile Analytics | Street Fight

5 Self-Service Platforms for Mobile Analytics

5 Self-Service Platforms for Mobile Analytics

For large app developers with unlimited resources, there are countless options for tracking, analyzing, and optimizing mobile marketing campaigns. But for small and mid-size developers, gaining insights across multiple campaign sources can be a much more challenging task. The vast majority of mobile analytics platforms have traditionally been aimed at the largest developers, leaving a huge swath of the market untapped.

Unable to afford the high cost of full-service analytics firms, a growing number of small and mid-size developers are relying on self-service solutions for quick access to the infrastructure necessary to track marketing costs, performance, and overall ROI. Here are five examples of self-service mobile analytics platforms that developers in the hyperlocal space can try.

1. Tenjin: A complete view of mobile marketing performance
Since introducing its platform as a self-service solution late last year, Tenjin has been offering mobile marketing infrastructure to small and mid-size developers. Tenjin combines mobile analytics, attribution, and aggregation tools so that developers can improve the effectiveness of their app marketing campaigns. Developers can view the source of their users and track in-app revenue, ad revenue, and ad spend. The company also recently announced partnerships with Chartio and Looker. Developers using Tenjin can get analytics for 12 million “events” per month for free. Each additional one million events costs $300. The company’s ad spend and ad revenue API is also available for $500 per month.

2. Tune: Deep insights for stronger audience relationships
Tune offers in-app analytics and attribution for marketers and tech platforms. The company’s marketing console includes an integration solution for mobile measurement, engagement, and optimization, allowing developers to account for unexplained drops in revenue, installs, or engagement. Tune offers an app store optimization tool, and the platform collects location information when measuring installs as a way to improve the attribution process. An attribution analytics component also allows marketers to track impressions, ad clicks, app installs, and in-app events to integrated ad partners. Marketers can contact Tune for specific pricing information.

3. Singular: Unified marketing for developers
Singular offers mobile analytics, attribution, and aggregation through a single dashboard. Once developers have linked all their data sources—including ad networks, business intelligence, and CRM systems—Singular will identify which channels or campaigns are driving the most qualified customers and compare revenue to a cohort of users. Developers can then optimize their creative ads based on those insights. Singular already has more than 600 pre-integrated ad networks and analytics systems. Businesses can contact Singular directly for specific pricing information.

4. tapCLIQ: Intent-driven mobile marketing analytics
A mobile marketing platform driven by opinion, tapCLIQ learns about user intent based on opinions and then uses that information to predict the right moments to deploy personalized messaging. tapCLIQ’s platform is available through a self-service portal. It combines consumer opinions, predictive data, and publisher data to help developers retain and increase the lifetime value of their users. Developers can segment users by location, opinion, or “micro-moments,” and those segments can then be used for real-time marketing automation. Basic plans for independent developers start at $30 per month.

5. Sisense: Simplified analytics for businesses and developers
Sisense is a self-service analytics platform that connects the dots between all the marketing channels, systems, and platforms that a business uses. It can be integrated into existing software for customer-facing analytics and data visualizations. Developers can also join data from multiple sources into one dashboard and they can crunch the data on their own using Sisense’s “In-Chip data engine.” Sisense boasts that users without extensive technical backgrounds can use its self-service platform to perform the types of detailed analysis that would typically require a data scientist or a significant IT investment. Sisense is available with an annual licensing fee.

Stephanie Miles is a senior editor at Street Fight.

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