Even with a sophisticated marketing stack, b2b marketers are inefficient in using data for decision-making due to delays between insights and action.
There is an ever increasing pressure on marketers to have KPI’s directly linked to revenue. Despite this, marketing teams are failing to demonstrate their impact. A recent survey in a white paper by Marketo shows that almost 61% of marketers say they are either fair or poor in this area.
It is puzzling to see almost two-thirds of marketers fail to show their impact despite having cutting edge technology at their disposal. Modern marketing stacks constitute tools capable of capturing customer data, analyzing it, and automating marketing operations.
One clue to this puzzle can be obtained by a recent survey of marketers by MIT Sloan Management Review. In the report, only 49% responded that they were able to use data to guide marketing strategy.
This means that though marketers have access to technology that is capable of capturing and analyzing data, they still fail to use insights for taking action. But then what is stopping them?
The culprit: Delta-T
Analyzing current marketing stacks points to a gap: there is a delay between the times when insights are generated and when actual action is taken—insights and action are out of sync. Gartner provides a power framework to make sense of this. The contemporary analytics continuum looks something like this:
The feedback loop you see in above diagram causes a delay between insights and action. Most of the analysis done by b2b marketers is reactive in nature, inhibiting marketers who actively use prescriptive analytics with decision automation. This means that though they know answers to:
- What happened? (e.g: 20% more conversion in a campaign about X service)
- Why it happened? & (e.g: persona Y is inclined in knowing more about X service)
- What will happen? (e.g: 70% chances of conversion if we immediately pitch X service to just Y persona)
They still cannot use this knowledge to act in time for results that are impactful.
Marketing stack that can help
As in most cases, technology can save the day for b2b marketers by having a marketing stack with not only Data & Decision layer, but also an automated Delivery layer.
This delivery layer would capture insights by the decision (analytics) layer and with the help of tight integrations via APIs, could deliver insights back to campaign and CRM tools for timely action. For example, the system could maintain automated delivery of suggested content to a suggested segment.
Here is our take on this solution:
Sandeep Koul is a senior marketing operations manager at Zylotech where he brings 10+ years of technical marketing experience following his marketing studies at Indian Institute of Management, Lucknow.
When he’s not working, he enjoys driving or trekking in the Himalayan region, reading books, and using his camera. Writers like George Orwell, Franz Kafka, & Fyodor Dostoevsky help him make sense of human behavior.
If you liked this post, check out our other blog post about Prescriptive Analytics Vs. Artificial Intelligence.