Jeff Sauer, founder of Data Driven U, lecturer and fellow digital nomad shares his experience in using big data to make full-proof marketing decisions with Woj Kwasi.
Read the full interview to find out about Jeff's passion for travel, bidding automations and GA4 migration tips ([ Ссылка ])
Woj from Kwasi Studios interviews Jeff Sauer. Renowned for being a digital nomad, he helps marketers from across the globe become more data-informed. Tune in to gain valuable insights on Google Analytics' fast-approaching migration to GA4 and how it will effect all marketers.
Woj & Jeff discuss:
★ Journey from an agency owner to digital trainer
★ Importance of data-driven marketing
★ Biggest challenge for Marketers
★ The effect of AI and machine learning
★ Must-know cut-off dates for GA4
★ The future of data-informed marketing
0:00 Introducing Jeff Sauer
0:40 Tell me about your journey form agency owner to world traveller to digital trainer
4:10 Tell me about your three favourite places to live and work remotely
5:11 How's travel impacted your daily life? And why did you decide to settle in Washington, D.C.?
6:29 How much has being a father changed your perspective on work and life?
7:49 Why is data-driven marketing so important to you personally but also, holistically?
10:42 How important is it to tell a story with your data?
13:25 Different platforms take a very different approach to attribution. What's your approach to resolving this and creating a single source of truth?
16:40 What's the biggest challenge for marketers right now? What do you think will be the biggest
challenge in 12 months' time?
18:18 The importance of developing first-party data is widely advocated at the moment. What's your advice for smaller marketing teams for whom this is a daunting prospect?
20:59 What can marketers do to join the dots between digital marketing data, website, ad platforms, email marketing platforms, and broader business KPIs?
23:31 How can marketers convince other business stakeholders to take a greater interest in their data?
26:31 How has machine learning and AI improved or made it more challenging for marketers to get results?
28:24 Let's talk about the origins of Google Analytics, Urchin and the convoluted raw data set. An intro to GA4
31:52 Google's not making migration very easy. SO unless you're on a 360 account, you can't really tap into it directly with BigQuery. Is that correct? Or is there another workaround to get data out easily?
35:10 What should people be aware of about the Google Analytics 4 cut-off dates?
36:11 Could you give me an elevator pitch on what your new GA4 course covers?
38:24 What do you enjoy most about teaching?
40:32 Where do you see the future of data-informed marketing?
