The Role of Data Analytics in Optimizing Mobile App User Experience
"Discover common Google Ads mistakes, learn how to avoid them, and improve your campaign performance to maximize ROI with strategic optimization tips."n
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Presentation Transcript
DATA ANALYTICS IN DATA ANALYTICS IN OPTIMIZING MOBILE OPTIMIZING MOBILE APP USER EXPERIENCE APP USER EXPERIENCE www.sagetitans.com
INTRODUCTION Google Ads is one of the best tools to expand visibility, traffic, and conversions for any business. However, even the most solid businesses sometimes make mistakes in their Google Ads campaigns, and a massive ad spend gets wasted along with an unsatisfying performance.
IGNORING KEYWORD MATCH TYPES Broad Match: Your ad is shown to users related to what you are looking for, though there is also the possibility of accidentally clicking on your ads. Phrase Match: The search term contains the exact phrase or close variant. Exact Match: Your ad will be shown to the searcher only if their search term exactly matches your keyword.
NOT USING AD EXTENSIONS CALL EXTENSIONS LOCATION EXTENSIONS SITELINK EXTENSIONS Gives your business a number so that potential customers can reach you easily. This sends people directly to pages on your website. Gives your business address to searchers in your locality
SET AND FORGET CAMPAIGNS Search Terms Report Ad Performance Budget and Bids
NOT TARGETING THE RIGHT AUDIENCE Location Targeting Demographic Targeting Target the users where your business is geographically located. Target people according to the age group, gender, and income of the household.
CONCLUSION Data-Driven Insights Improve User Engagement Leveraging data analytics allows mobile app developers to track user behavior, preferences, and pain points, resulting in enhanced engagement and satisfaction by addressing specific needs. 1 Personalization Enhances User Retention Analyzing user data helps deliver personalized content, recommendations, and experiences, fostering stronger connections and boosting retention rates. 2 Performance Optimization Data analytics highlights performance bottlenecks, enabling developers to optimize app speed, functionality, and reliability, contributing to a smoother user experience. 3
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