Marketing attribution is hard. Correctly tracking your attribution can determine the ROI on your campaigns and help you optimize your marketing performance.
Regular software projects have failures all the time – maybe it takes longer or costs more than anticipated, or you can't technically deliver what was committed. AI projects have the same problems and more.
One of the open source solutions that I know and love removed the core functionality of their system from their open source version. What to do when open source solutions go from useful to useless as they try to commercialize their software platform offerings.
Measuring ROI can be tricky but measuring on content is even harder. It takes roughly 7-10 touchpoints to connect with a customer and those customers may view multiple articles or assets before converting. What are some rules that can be applied to measure ROI for content?
Many companies looking for Marketing AI are missing one fundamental thing – the marketing strategy. Garbage In = Garbage Out.
When most companies implement a chatbot, it's usually ‘Set it and Forget It'. When done properly, a chatbot can be a highly effective sales tool.
Predictive marketing can help you find better customers, improve ROI on campaigns and create automations that improve the customer journey.
Marketing dashboards can aggregate data across multiple marketing solutions and then analyze the information to find out what’s working and what’s not.
Google provides powerful tools that are often (and usually) implemented wrong. Here are some pros and cons to using Google Analytics and Tag Manager.
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