So two tough questions for those who think that the job is done once it is set up: Is the implementation of a dashboard also the end of thoughtful analytics? Is it the beginning of the worst kind of management complacency? Consider the arguments: When the dashboard is developed, decisions [More]
Unfortunately, this type of change is not without some work. Consider the following: The machinery of your organization, from marketing, to sales, to finance, to operations are tuned into your legacy model. The operative question will always be how must each of these change in a SaaS business? The people [More]
Even from the early days of the web – think 1994 – marketers knew that a brochure website was not helpful. When I put KPMG online in that year, I came up with "Tax Tip of the Day": give us your email address, and we'll send you a tax tip [More]
The conventional wisdom is that segment-of-one marketing is the logical outcome of big data, and that the gains (more relevant targeting, more effective ad buys, lower costs, higher sales, etc.) far outweigh the risks. But have they? As organizations move to more sophisticated data-oriented marketing, it is all too easy [More]
While every situation is different, these action points will help you both recover… and reduce the risk going forward. Use this list as a checklist for when it happens, or as the basis for a plan you put together in advance.• Immediately change all of your passwords to strong passwords, [More]
Here are fourteen: Unnecessary web and app trackers: These ostensibly exist to allow better evaluation of marketing effectiveness at the macro level, and user behavior at the micro level. But as privacy — and transparency — are becoming more important with individuals (and regulators), these trackers are quickly being seen [More]
Is the ability to quickly build a community or identify prospects through content or ads just too tempting to resist? For most people, all of this is true. And it is, actually, too good to be true. Over the longer term, these prospects — and in fact your entire marketing [More]
Let’s consider the snail-mail mailing list. This was usually a database file maintained in a central computer. To send a mailing, you printed the labels onto labels, and then sent the labels to a mailing house to be manually affixed to what was being sent. Usually the process took weeks. [More]
ChatGPT is a “large language model”: the system ingests copious amounts of training data, draws connections within it, does its abracadabra analysis, and then strings together responses based on the algorithm that it self-develops. So the question isn’t really how does an AI system become so smart, but rather where [More]
The profusion of systems has led to a bumper crop of data. Facebook, LinkedIn, Twitter, YouTube, and all of the other social media sites track the beginning of the journey, while marketing automation tracks the latter part of it. CRM systems track prospect and client activity, while ERP systems track [More]
Each week, get Randall’s 60-second nugget on translating digital knowledge to action. Curious? Read 600+ past articles.
Δ