So far as I know, Martech Fatigue Syndrome is not yet a real thing. But I've definitely sensed a certain weariness in recent discussions of marketing technology. The initial excitement about new opportunities has become exhaustion as marketers realize they need to keep making investments even though they're not using their existing systems to the fullest. See, for example, this Kitewheel study, which found 72% of agencies use less than 40% of their tools every week.
So what’s the problem? Have marketers simply purchased the wrong technologies – after all, they’re new at the system buying business and martech is filled with bright and shiny distractions. Or are they buying the right systems only to find that other roadblocks get in the way of success?
Many people have asked similar questions. So many, in fact, that I've found a half-dozen surveys in the past two months touched on the topic. You can see the questions and their answers at the bottom of this post.
But each survey asks different questions and gets slightly different answers. To look for over-all patterns, I’ve combined the answers on the following table, putting similar items on the same row and keeping related ones nearby. I’ve grouped the answers into general topic areas: organization, management support, marketing strategy, data management, delivery systems, and external factors. High-rated issues within each survey are shaded orange and low-rated issues are shaded green. In other words, orange cells are the biggest problems, green cells are the smallest, and white cells are in between.
The reason for all that careful arrangement is to see any clusters in the answers. Sure enough, some do emerge: the biggest problems are concentrated in organizational issues (lots of orange). The one exception that people think their own skills are perfectly adequate. Of course.
The management support area is mostly neutral except for a slash of orange for Return on Investment. That make sense: measuring ROI is always a challenge for marketers. To be clear, the answers are referring to the ROI of marketing programs in general, not martech investments in particular. If anything, the surprise is that related items like management support and budget are less of a roadblock.
Marketing strategy isn’t a major problem in most cases, with just one survey as an exception. As with skills, this basically means that marketers are confident they know how to do their jobs.
The next two items, data management and delivery systems, are where technology comes in. There’s more green here than orange, confirming our hunch that access to adequate technology isn’t marketers’ main problem.
The final group, external factors, is no problem at all.
Putting it all together, we see that organizational roadblocks and proving ROI are the biggest reasons marketers fall to get value from technology. Finding good technology and knowing what to do with it are less of a concern. These aren't unexpected but now you have a Data-Driven Answer next time anybody asks.
Retail Touchpoints for Magnetic
Barriers to cross-channel experience:
not enough data for full profile
internal organizational silos
don’t know what types of messages resonate best
struggle to get right message to the right person
delivery systems are not integrated
struggle to integrate first and third party data
don’t know how to use our data to create a better experience
Winterberry Group for IAB Data Center of Excellence
Obstacles to value from data-driven marketing:
difficulty proving ROI
lack of internal experience
inadequate first party data
tests have failed
lack of leadership support
lack of guidance from agency/service partners
inadequate third party data
little demand from customers
Forbes Insights for Aprimo
Agile marketing challenges
employees not empowered
can’t connect agile marketing to business outcomes
lack of management vision
lack right technology
lack IT talent
lack marketing talent
difficulty choosing right third party
Kantar Vermeer for American Marketing Association
Not confident the organization’s marketing team
has right operating model (people/structure/processes/tools)
understands ROI of efforts
has clear strategy
is investing in right customers
is doing the right things
has clear brand position
has right capabilities
Obstacles to 1-to1 personalization
organizational constraints block personal accountability
automating decisions at scale
assemble real time customer view with full context
understand buyer behavior in context
creating compelling offers and content
integrating third party data
understanding who to personalize when in which channel
sustainable data architecture
Econsultancy for Adobe
Most difficult customer experience components to master