Can Data Analytics Reinvigorate Your Sales Team?

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Turn Data Analysis Insights into Action
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(No Transcript)
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• 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 were 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?

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• The right strategy will enable your organization
  to stay ahead of competitors, but only if you can
  see whats 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 arent set up to mine the kind
  of data that makes this work seamless.

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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 thats just waiting to
  be put to use by marketers.

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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.

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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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