The Blog

  • April 2, 2019
  • CDP for all

     

    Here we go again right down the hypecycle and into new product land. In the last week, two major enterprise software companies, Oracle and Salesforce have announced CDP products. Oracle announced its product last week in Las Vegas at its Modern Customer Experience (MCX) event. This week, Salesforce announced that it is building a Customer Data Platform. Given the company’s history of making products and deadlines you can take this announcement to the bank, but still, it’s better to have product when you announce.

    It’s always a good sign for a new market when the big guys arrive bearing product or at least minimally acceptable jargon and the bigs join a growing list of emerging companies like BlueConic, Simon Data, and Segment, which I found in a simple search, who want to fill the space.

    But as Salesforce happily acknowledged in a blog post  “Last October, Forrester released a report warning, For B2C Marketers, Customer Data Platforms Overpromise and Underdeliver. 1 And a recent Winterberry Group analysis 2  claimed that only about one in five of the 100+ vendors calling themselves a CDP actually qualify.
    With definitions so loose, it’s clear this is an early market. The function of the bigs as later entrants in such situations is usually to take away some of the ambiguity and set a floor under things. So as long as we’re into floor leveling, lets play an armchair analysis game.

    First, what is CDP?

    Good question. It’s also the question that drives every other part of the discussion, like do we even need this? The answer is maybe but first, what is it?

    Simple definitions say that CDP is a tool for corralling customer data in a B2C setting. A company heavily engaged in B2C selling needs lots of data to drive its algorithms so that it can automagically sell without expensive humans. So the data it uses has to be complete, clean, integrated, and easily slurped up (a technical term for sure) by other marketing technologies aimed at the customer.

    Issues arise because nobody has all of the data one might need. Vendors have customer records, but they must typically be supplemented by third-party data that might complete a demographic picture of customers for instance. There’s also real time data from the customer in an interaction and all of it feeds the calculations of what to offer/do/recommend next, also in real time.

    So, data is a big deal. But I fret that by focusing on data we jump right to speeds and feeds and miss out on the benefits craved by the businesses that use the CDP systems. Another sure sign of an early market. Specifically, the benefits aren’t about data unless you’re only selling to data wranglers, the people historically responsible for aggregating and cleaning. 

    But the higher value stuff, and the stuff that drives purchase decisions is or at least ought to be about the information value that is derived from all that data. By itself, data is pretty useless. A zip code or a phone number are each numeric but only in a qualitative way; you can’t do math on them for instance. But you can derive important information about location when you put both together in this cell phone crazed, roaming area code age.

    So how do we use it?

    To me, CDP’s greatest strength can be found in the information it delivers not in the data it captures and stores. This is an obvious point but one that is so far missed by virtually all of the entrants. No worries though, it’s just another sign of an early market.

    This notwithstanding, I wish the players would look a little further downstream to the end game. I think if they did, they’d be talking a bit more about information and what marketers want to do with it than about the gymnastics they can perform with data. 

    At one point many of us thought that CRM, especially when combined with AI and machine learning would do what we now look to CDP to do. Perhaps that was wishful thinking given the complexity of the task and the chaos inherent in managing data. For example, it’s only been recently that we teased apart needs for insight into customer needs and the need for better engagement, two things that the nascent CDP industry espouses in an either/or context when, as Salesforce puts it, it’s really an and situation.

    Finally, extra points to whichever vendor gives a nod to the importance of CDP working within the constraints of GDPR, the European regulations that insist that customers have a right to control vendors’ awareness of their data. You’d think this is a no-brainer but so far, the industry looks like a bronze statue of see no evil, hear no evil, speak no evil when it comes to GDPR. 

    My two bits

    CDP is here, dudes, it’s important, and if you’re in marketing you can’t ignore it. Of course, you still need to sniff around the industry to find a vendor whose definition of CDP fits your need. It’s an early market but an important outgrowth of CRM and a logical extension of the AI/ML changes around us. CDP’s influence may even go beyond marketing. 

    My advice is to begin playing with CDP and possibly multiple different designs. They’re all available as cloud solutions and some are free for a couple of users, which means virtually every marketing department can afford to test some ideas, perhaps in an A/B setting. There will be some stumbles but given this configuration, I suspect the early experimenters will reap the rewards and importantly, this market will congeal relatively quickly.

    Published: 9 months ago


    Discussion

    • April 10th, 2019 at 7:57 pm    

      Some small businesses choose to use several tools and require a CDP to manage it all. But an easier way to consolidate data is to use an all-in-one platform that keeps everything in one place. It’s worth noting that the all-in-one platform must have the necessities for each specific company as the needs differ by industry. Where does that leave all-in-one platforms in the future? Perhaps they’ll adopt more advanced CDP technology to stay relevant, but I see CDP solutions mostly effecting enterprise companies.

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