The document discusses the evolving challenges and priorities in marketing technology (martech), highlighting that many implementations fail due to lack of alignment, training, and proper tool utilization among teams. A Martech maturity model is presented, outlining stages of development, from marketing transformation to predictive tools, emphasizing the importance of achieving alignment before selecting tools and managing expectations about revenue within initial years. Survey results indicate that while revenue and lead generation are top priorities, a significant percentage of marketers lack the necessary metrics and skills for effective decision-making.
Introduction to the Martech Maturity Model™ by Josh Hill for December 2016.
Explores reasons for failure in martech stacks: high expectations, IT mentality, untrained staff, integration issues, and misalignment with business processes.
Discusses marketers' priorities focusing on revenue and leads while noting decreased emphasis on marketing efficiency through surveys.
Highlights the need for better decision-making metrics among marketers, emphasizing a lack of lifecycle data.
Outlines the journey of adopting marketing technologies, stressing alignment, expectation management, and partnerships.
Details six stages in the Martech Maturity Model from transformation to predictive tools, discussing ROI and training challenges.
Examines the importance of readiness in ABM and predictive tools, noting the need for alignment and continuous development.
Encourages sharing of the presentation and connects with the audience through social media.
Yet marketers lackthe metrics to make those decisions.
Source: LeadMD, Oct 2016: https://www.leadmd.com/resource/2016-marketing-maturity-benchmark-report/
38%
No lifecycle data
45%
Some lifecycle data
17%
Full lead lifecycle
Innovators Early
Adopters
Early Majority Late Majority Laggards
#3 It’s not always what you think.
60% figure is floating out there, although there is zero data to prove this. And I bet this is entirely perception rather than HARD failure where you kill it all. 60% of stats are made up on the spot.
#4 Sometimes this is people believing the vendor too much. Lack of understanding of what it means to build out a system as well as the other pieces.
#11 Tremendous increase in reported use of stack, but it’s still split. 31% use it, but need more, while 15% need more and don’t use it fully.
http://chiefmartec.com/2016/10/marketing-technology-utilization-takes-major-swing-upward/
#16 Thus, this again supports my advice to CMOs: understand your marketing strategy and firm first, then hire the right team (or agency) to help implement the technical side well. Is it better to spend $50,000 this year to set up success for the next three years, or to spend $15,000 today for a poor implementation that means $70,000 in software fees are flushed away?
#18 Distances are not exact; stages may overlap as projects and skills reach operational efficiencies; Time to complete or success will differ by company.
#19 You could argue that the ROI may dip at Stages 2 and 3 and 4 because you end up needing more tools and often more people to manage tools, content, testing, etc.
#20 Can you achieve the vision if the staff isn’t capable of building it?
#21 You could argue that the ROI may dip at Stages 2 and 3 and 4 because you end up needing more tools and often more people to manage tools, content, testing, etc.
#22 ABM is possible after Stage 1. Earlier is just Target Accounts