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Sales Pipeline Radio, Episode 248: Q & A with Kelley Hippler @forrester

Heinz Marketing

If you’re not already subscribed to Sales Pipeline Radio , or listening live every Thursday at 11:30 a.m You can subscribe right at Sales Pipeline Radio and/or listen to full recordings of past shows everywhere you listen to podcasts! Matt: Welcome everyone to another episode of Sales Pipeline Radio, my name is Matt Heinz.

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Google BigQuery: A Tutorial for Marketers

ConversionXL

Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. The solution is to give every lead and every purchase a userID (like an encrypted email), to pull CRM and Google Analytics data into your BigQuery data warehouse, and then—with a simple SQL query—join the two tables.

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Sales Pipeline Radio, Episode 116: Q&A with Samuel Sunderaraj @@V_samuelSun

Heinz Marketing

Another episode of Sales Pipeline Radio for you! Matt: Thank you everyone for joining us on another episode of Sales Pipeline Radio. I think your customer base grows by two X it seems like every month these days. Are you making adjustments to that approach based on millennials versus gen X versus Boomers? Absolutely.

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Raw Data & Google Analytics: A Game Changer

ConversionXL

After a few hours playing around with SQL , I was already able to deliver insights I never could have with aggregated Google Analytics reports. Do more and more people use Feature X? Data pipeline. Another way to get Google Analytics right into a data warehouse is to use a pipeline. Where do my users come from?

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The B2B Marketer’s Quick Start Guide: Data Visualization

Heinz Marketing

You might look at the platforms below and be thinking “there’s some missing” or “why isn’t X included?”, Features/functionality: Enable data agility and extract more value from your data with Domo’s flexible, scalable architecture. ”, because I had the same thought. Google Data Studio.

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SaaStr Podcasts for the Week with G2 and Gorgias — September 27, 2019

SaaStr

What are the core differences when comparing marketing functions at the likes of Salesforce to smaller companies like G2? How does Ryan build candidate pipeline? I do have to ask, you said there about your process in terms of the conversion from SQL to MQL and how you thought about that. How did it change his mindset?

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SaaStr Podcasts for the Week: May 10, 2019

SaaStr

And when we would focus on the buying experience and making it very personal to the buyer we actually see a dramatic increase in revenue and so MQL and SQL are what I call maybe a momentum or a KPI metric, but they shouldn’t be how you’re driving or measuring your teams.