Once your data has been cleaned, it's time for data analysis, which is the step that your marketing team is most famililar with. It entails looking backwards and asking "what happened?"
If we are working with web data, we can find patterns and opportunities in website visit to conversion via a conversion funnel and compare the last 30 days to the same time period last year.
If we are working with customer data, then we can identify profitable trends in buying behavior.
Once we have a clear picture of what happened in the past, we're able to apply machine learning for Predictive Analytics.
WARNING: I'm good - really good - at defining problems and using data to solve them, but I'm NOT a yes man. If you're looking for someone to follow your system and check off tasks in your list, then we're not a fit.
But if you're ready to discover what insights your data holds, and you're not afraid of brutal honesty, then schedule a time - let's talk.
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Richard is obsessed with finding areas of opportunity for his clients by digging deeply into the analytics and focusing on what's working.
After years of working with vendors who simply turn the knobs and hand you a report, it was exceptionally refreshing to work with Richard who provides candid feedback and truly understands the full lead lifecycle from intention to conversion and how it impacts your marketing efforts.
Sr. Software Engineering Manager
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