Data & Analytics

  • Why Consumer and Retail Brands Should Collaborate—Not Compete

    Why Consumer and Retail Brands Should Collaborate—Not Compete

    If retail brands were to team up with the consumer brands they sell, they would both be able to better serve their customers. Here's why that's important.

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  • The Top Issues—And Opportunities—Facing Auto Marketers in 2018

    The Top Issues—And Opportunities—Facing Auto Marketers in 2018

    This post outlines three key industry evolutions that may be keeping automakers and their marketers up at night—but actually present the opportunities they need to gain that coveted market share.

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  • Top Fiserv Content of 2017

    Top Fiserv Content of 2017

    A summation of recent efforts to make marketing more human in the rapidly evolving world banks and financial institutions are challenged with navigating.

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  • Best 5 Marketing Technology Content Pieces of 2017

    Best 5 Marketing Technology Content Pieces of 2017

    Have a look back at our wrap up of the top performing martech content from the year and gain some insight into what changes we’ll see in the year to come.

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  • Regional Bank Cashes in on Contextual, Human Marketing

    Regional Bank Cashes in on Contextual, Human Marketing

    To attract new customers and improve loyalty, this regional bank needed a strategy that centered on the customer, that integrated all key channels and that leveraged smart personalization.

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  • 2018 Predictions from the Brightest Minds in Marketing

    2018 Predictions from the Brightest Minds in Marketing

    We asked the Harte Hanks Marketing Advisory Board for their insights and predictions on what will matter in 2018. Hear from Ken Bernhardt, John Deighton, Kim Whitler, Kay Lemon and Scott Neslin.

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  • Marketing Analytics 101: What You Need to Know in Graphic Form

    Marketing Analytics 101: What You Need to Know in Graphic Form

    All the data and analytics in the world doesn't help your marketing team if you don't know how to apply the right models based on what you're trying to achieve. Use this graphic as a starting point.

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  • Agile Marketing in Practice: Here’s How We’re Doing It

    Agile Marketing in Practice: Here’s How We’re Doing It

    The Boutique works daily on figuring out how to identify browsers, shoppers and buyers as they interact with our digital properties so that we can have contextual, human conversations with them.

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  • The 5 Pillars of Best-in-Class Marketing2:28

    The 5 Pillars of Best-in-Class Marketing

    Marketing. It has until now, been viewed as companies pushing their messaging out into the world and trying to get consumers to buy more. That just doesn’t work anymore. Customers are calling the sho

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  • Office Equipment Leader Centralizes Global Marketing with Signal Hub

    Office Equipment Leader Centralizes Global Marketing with Signal Hub

    See how this global office supplier centralized its marketing with a cloud-hosted big data platform. Goals include improving the value proposition, product design, customer cross-sell and more.

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  • Behind the Scenes: Our Unprecedented Journey Into Making Marketing Human

    Behind the Scenes: Our Unprecedented Journey Into Making Marketing Human

    We’re on a bold new mission to be human in our marketing. We’re figuring out how to operationalize this mission into processes—and then program technology to help us scale the operations.

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  • Fortune 100 Retailer Deploys Signal Hub to Drive Business

    Fortune 100 Retailer Deploys Signal Hub to Drive Business

    A Fortune 100 retailer decided to discontinue tobacco sales to reflect its health-conscious brand values. This left a need to fill a $1.5B gap from lost sales and impulse buys from tobacco customers.

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  • 3 Ways to Use Machine Learning in Your Marketing

    3 Ways to Use Machine Learning in Your Marketing

    Marketers can take advantage of machine learning in innumerable ways, but there are a few capabilities that will really help to supercharge marketing performance.

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  • Reading Buyer Signals for Human Marketing1:10

    Reading Buyer Signals for Human Marketing

    www.hartehanks.com/human Buyers leave digital signals behind. Marketers must learn to understand them.

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  • Machine Learning: Separating the Hype from Reality

    Machine Learning: Separating the Hype from Reality

    Machine learning is a form of AI that solves problems by using the massive processing power of computers to find patterns—and many companies are already using it to their advantage today. Here's how.

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  • Global Tech Leader Adds $27M to Pipeline with New Data Strategy and Lead Development Engine

    Global Tech Leader Adds $27M to Pipeline with New Data Strategy and Lead Development Engine

    A U.S.-based technology company faced increased pressure from competitors stealing market share from their flagship product. To protect and grow revenue they had to strengthen their marketing efforts.

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  • How to Personalize Your B2B Marketing with Artificial Intelligence

    How to Personalize Your B2B Marketing with Artificial Intelligence

    What to do with data – how to transform it, disseminate it, render it usable – is the topic du jour for B2B marketers, and this is where artificial intelligence, or AI, enters the conversation.

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  • The MarTech Maturity Model

    The MarTech Maturity Model

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  • The Difference Between Integration and Orchestration is Customer Context

    The Difference Between Integration and Orchestration is Customer Context

    To keep up with shifting consumer expectations and deliver a context-driven customer experience, you need the ability to do these four key things.

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  • The Rise of the (Marketing) Machines—How to Tame Them

    The Rise of the (Marketing) Machines—How to Tame Them

    It’s no secret that technology has changed the game when it comes to marketing. We all know the customer is now in charge of the journey. Add to this an explosion in engagement channels and...

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