Advanced Analytics for Marketers: What to Use When and Why

Published: September 11, 2023
Reading Time: 3 minutes
Categories: AI/ML, Data Analytics

Overview

Marketers have more tools than ever at their fingertips to not just process customer data, but to extract significant value from it. Yet, data from Forrester's Customer Experience Index (CX Index™) shows that the average CX Index score increased every year from 2018 to 2021, then declined in 2022 with more softening expected in 2023.

Key Takeaways

The Customer Experience Challenge

Recent data from Forrester's Customer Experience Index (CX Index™) shows that the average CX Index score increased every year from 2018 to 2021, then declined in 2022. This dip in CX performance during 2022 and expected softening in 2023 presages a drop in tolerance and brand forgiveness. Brands who haven't already, should ramp up efforts in 2023 to handle a harder-to-please customer.

Most brands collect far more data than they can analyze and are only able to realize a fraction of its value in their operations. Unprocessed data isn't just a missed learning opportunity, it carries a cost of customer frustration and lost revenue.

Why Marketers Are Missing the Mark

Marketers have more tools than ever at their fingertips to not just process data, but to extract significant value from it. So why are they still missing this mark?

A recent HBR article suggests that marketers are either unsure of the ability of their techstack, or don't trust it to find the right answers for them. They struggle with how and when to incorporate AI/ML advanced analytics in their workflows.

The authors identify the struggle marketers feel with when to trust the machines and when to trust their guts. They also recognize a clear difference between the two:

Framework for Decision-Making

To help marketers understand what analytics they should apply when, HBR proposed a simple framework for decision-making.

Knowing that resource and time constraints are increasing at what feels like an exponential pace, Kognitiv is giving marketers time and space for the work that requires a human touch. By applying AI/ML to customer journey analytics, Kognitiv is leveraging marketing expertise to automate and take the guesswork out of converting data into insights into action.

Kognitiv's Approach: Combining Data, Intelligence, and Optimization

Chief Product Officer Anthony Wintheiser says:

"Data without intelligence, and intelligence without optimization will do little to help brands deliver better customer experiences and increase customer lifetime value. With Kognition, Kognitiv's AI/ML decision engine, we combine all three to recommend what marketers should do to consistently and efficiently hit their business goals."

Kognitiv Pulse: Real-Time Customer Journey Analytics

Kognitiv Pulse delivers a real-time view of your entire customer base and buying patterns at an individual customer level.

Key Features

Additional Resources

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About Kognitiv

Kognitiv provides AI/ML-powered solutions for marketers to maximize customer lifetime value through intelligent analytics and activation.

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Website: https://www.kognitiv.com
LinkedIn: Kognitiv Corporation

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