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Best Examples of AI in Marketing: Tools & Best Practices

Userpilot

AI-powered marketing tools. to analyze customer data and predict customer actions. SurferSEO uses NLP to offer suggestions for content optimization, providing insight into ideal keywords, content length, headers, etc. For instance, CRM systems may conversation labeling and prioritization.

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Mobile Customer Response Rates Grew by 20% Last Year: New Data from our 2018 Benchmark Report

Alchemer Mobile

Customer centricity and customer experience management are the hot topics of this year’s business conversations. They need to be able to understand the analytics behind customer interaction and response rates so they can make data-driven decisions. As such, it’s not enough for companies to send communication into a vacuum.

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Engagement Benchmarks for Food and Drink Apps

Alchemer Mobile

In our 2021 Mobile App Engagement Benchmark Report , a study of 1,000 apps across a billion+ app installs, we take a close look at apps in the Food and Drink category. Read on for data-supported research and benchmarks Food and Drink apps should focus on in 2021 and beyond based on what was learned from a year like no other.

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How Big Data is Shaping the Future of Retail

The Product Coalition

about brands, product pricing, and customer reviews?—?have Big Data services , powered by artificial intelligence (AI) and machine learning, help retailers stand out in a crowded, competitive marketplace. In which other ways could Big Data impact retail in the upcoming years?

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2021 Engagement Benchmarks for Utilities Apps

Alchemer Mobile

In our 2021 Mobile App Engagement Benchmark Report , a study of 1,000 apps across a billion+ app installs, we take a close look at apps in the Utilities category. Read on for data-supported benchmarks Utilities apps should focus on in 2021 and beyond based on what was learned from a year like no other. Ratings and Reviews.

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Tools to Collect More Mobile Customer Feedback

Alchemer Mobile

As a product manager, you’re probably on the other end, watching the app user analytics roll in, wondering why shopping cart abandonment has suddenly spiked. When you have the right feedback system in place and a clear customer journey map , you can quickly prompt mobile app customers at the right time and place.

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Search at Intercom: Building our Elasticsearch cloud on AWS

Intercom, Inc.

For this reason, we chose to run exclusively on AWS and wherever possible, we make use of battle-tested AWS services, be it RDS Aurora for our relational databases, the Simple Queue Service (SQS) for our async workers or ElastiCache for our caching layer. We wanted it to feel seamless and invisible. Three areas of focus.