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Google BigQuery: A Tutorial for Marketers

ConversionXL

Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. While Google Analytics makes it possible to add CRM, back-office, or call-tracking data (via the API or Measurement Protocol), it’s still a suboptimal solution to consolidate your data. BigQuery isn’t the only game in town.

SQL 84
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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? This is especially valuable if you store a Google Analytics’ client ID along with any add-to-cart or checkout actions. Where do my users come from?

Gaming 85
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How to Build Effective Sales Compensation Plans for Any Customer Facing Role

Sales Hacker

Here’s a simple example to begin with that covers the SDR, AE and Customer Success Manager (CSM) functions: Table 1. I usually recommend my clients consult with a local recruiter if they’re unsure of the expectations of the job market. This is a touchy subject because a booked client does not guarantee cash collection.

SQL 103
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Sales Pipeline Radio, Episode 116: Q&A with Samuel Sunderaraj @@V_samuelSun

Heinz Marketing

I think your customer base grows by two X it seems like every month these days. This is when Salesforce came to the market and started being the kind of up and running SaaS CRM play. So gone are the days of feature functionality, obviously have a great product to sell, but more important, it’s getting to know the buyer, right?

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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.

B2B 116
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The Playbook To Re-Igniting Growth with Predictable Revenue Co-Founder and CEO Aaron Ross (Video + Transcript)

SaaStr

Learn why it is difficult to have accurate and trustworthy outbound dashboards and how to clean up and educate your clients. This is probably the number one thing we work to clean up with clients, is just clarity around metrics and lead generation, especially outbound. Want to see more content like this? Join us at SaaStr Annual 2020.

Growth 78
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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

But, Underwood continued, he tries to focus clients on “the one thing that, if we could predict it for you, would revolutionize your business.”. For Underwood, clients tend to fall into one of two buckets, with half in each: “The ideal client has an internal database set up and ready to go. or “Who is likely to try product X?”

Sports 131