We use AI to show why your
marketing is (or isn't) working.
Glitch uses artificial intelligence to analyze your marketing strategies and recommend your next move.
Gather, analyze, build, simulate then repeat.
All happening continuously.
See the contribution of each marketing channel…
all in one dashboard.
THE TRUTH
91% of marketers are not confident in how media drives their sales.
Source: marketingstudy.com
THE FIX
A.I. powered simulations using real data, providing real marketing insights.
Glitch vs. what’s out there
Multi-Touch Attribution
Traditional Homegrown Models
Traditional Marketing Mix Models
The idea behind multi-touch attribution (MTA) is a great in theory and unfortunately has failed to deliver in practice. The main problem is that it's almost impossible to get a complete picture of every event that influences a discrete user - every advertisement they see, online and offline, every search, every radio program listened to in the car.
Homegrown models are common place in mid-market companies. These models start with some form of first or last click model then apply business heuristics for sharing attribution from non-media channels like Search or email back to the previous paid media event. The problem with this type of approach is simply misattribution; maybe the Search would have happened organically.
You know, marketing mix modeling (MMM) isn’t new, so you might ask what’s all the fuss? Historically, an MMM has been slow to build and insights have been limited. The reason behind this is that manual data practices hampered modeling efforts and the time spent on data could create upwards of 80% of the modeling project. That didn’t leave a lot of time for the human data scientists to build more than a few potential models. But probably the biggest weakness is results are static, being presented in a deck, and old (usually a quarter of so).
WHO USES GLITCH
Glitch is for high-level marketers looking to gain more insight into how their marketing strategies drive business results.