What, Why, How: Foundations of B2B Marketing Analytics
With the right B2B marketing analytics foundations, your B2B marketing will be set up for success.
Without them, you’re building a business on quicksand at best.
Join Trust Insights CEO Katie Robbert and Chief Data Scientist Christopher S. Penn to set yourself up to win in this strategy-focused look at B2B digital marketing analytics, delivered at the 2021 MarketingProfs B2B Forum.
At the end of this session, you will be able to…
– Create a B2B analytics strategy with Google Analytics
– Explain why things happened and use advanced attribution analysis
– Use predictive content marketing analytics for forecasting your B2B content calendar
– Use prescriptive content analysis to understand what content truly boosts conversion
What’s covered in the session:
- Introduction
- Presenters: Christopher Penn and Katie Robbert, co-founders of Trust Insights
- Agenda overview:
- Creating a B2B analytics strategy with Google Analytics
- Using attribution analysis to explain why things happened
- Using predictive analytics for content marketing forecasting
- Using prescriptive analytics to understand conversion-boosting content
- Google Analytics Evolution
- Transition from Universal Analytics (GA3) to GA4
- Key differences:
- GA4 separates data collection, analysis, and reporting into different tools
- Recommend running GA3 and GA4 in parallel during transition
- Building the Analytics Foundation
- Like having the right appliances and ingredients before baking a cake
- GA4 works well for websites + mobile apps
- Must get tracking set up properly before any other analytics
- Basic Reporting
- Answering “What happened?”
- Use Google Data Studio for automated reporting
- Design reports around key metrics and user needs
- Attribution Analysis
- Answering “Why did it happen?”
- Shows impact of marketing channels and content on conversions
- Helps determine where to prioritize and invest
- Predictive Analytics
- Forecasting what will happen in future
- Time series forecasts using machine learning
- Plan content calendars, email sends, etc. based on future trends
- Prescriptive Analytics
- Understanding what content actually boosts conversions
- Optimize and repurpose high-converting content
- Identify “hidden gems” to re-promote
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What, Why, How: Foundations of B2B Marketing Analytics
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