Turn Data Analysis Insights into Action

Turn-Data-Analysis

Turn Data Analysis Insights into Action

Salespeople and marketers are striving every day to gain control of their markets and out-think the competition. Data analytics is at the crux of that competition. When we’re surrounded by data to help us tread through all of our objectives, what can we do to work more efficiently, spot trends quicker, predict outcomes better, and make the right decisions?

The right strategy will enable your organization to stay ahead of competitors, but only if you can see what’s coming before your rivals do. Moreover, data-driven marketing will place your customer at the center of all of your efforts – engaging them in the way they want, when they want, and about what they want. Unfortunately, most organizations aren’t set up to mine the kind of data that makes this work seamless.

The Case for Zero-Party Data

Nearly everything your target customers do online is tracked somewhere, somehow. Zero-party data is ethically-sourced information that consumers have “opted-in” to sharing with the brands they like and interact with on a regular basis. Coupled with analytic tools, this data contains a wealth of predictive information that’s just waiting to be put to use by marketers.

How It Works

Imagine being a sports goods store and learning that a 20% segment of your client base all self-supply that they like golf and are interested in pitching wedges. Now you have actionable data that tells you who to market to, and what items to market to them.

By using this data, you can create a uniquely personal marketing experience for your clients. And with the right tools and software, you can create a customer-focused program that keeps your sales funnel full and your pipeline growing.

How Zero-Party and ai-InteleKt™ Analytics, Creates Hyper-Loyal Customers

Our platform provides crucial intelligence to drive Data Onboarding, Omnichannel Measurement, and Customer Recognition.

  • Anomaly Detection: identify deviations in performance from average baseline metrics
  • Accessing Hidden Demand: uncovering revenue opportunities
  • Clustering: aggregating similar customers, employees, or stores

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