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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. After all, most questions we answer are pretty basic: Which campaigns bring more conversions? Do more and more people use Feature X? For regular use, aggregated data is usually enough.

Gaming 85
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Google BigQuery: A Tutorial for Marketers

ConversionXL

BigQuery isn’t the only game in town. Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. Imagine you want to know how much revenue your campaigns generated… …and you sell houses. Here’s a great tutorial for using SQL in BigQuery.). Another use case.

SQL 84
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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? Ryan Bonnici: And then I got this really interesting opportunity to move over to the US with HubSpot and lead global marketing, global digital, global PR, global brand campaigns, and social and all that fun stuff.

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SaaStr Podcast #213: Tom Tunguz, GP @ Redpoint Ventures On Why Scoring Leads May Actually Be Dangerous

SaaStr

So we ran a free trial survey because we found that in most of our startups, many of them at all different price points, even starting around 1K is obvious, but going up to 150K ACV, they were running free trials as part of their marketing campaign. SQL versus the MQL. And a lot of the disciplines are the best practices around.

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SaaStr Podcast for the Week with Redpoint Ventures and Cloudflare — January 3, 2020

SaaStr

So we ran a free trial survey because we found that in most of our startups, many of them at all different price points, even starting around 1K is obvious, but going up to 150K ACV, they were running free trials as part of their marketing campaign. SQL versus the MQL. And a lot of the disciplines are the best practices around.

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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

David Longstreet, the chief data scientist at FanThreeSixty , offered an example: In our world of sports and entertainment, for example, most sports teams do not know how many people are in a stadium for a game. or “Who is likely to try product X?” That knowledge gap hampers efforts to staff and stock the stadium appropriately.

Sports 131