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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. 40,000/150 = $267/SQL. Or rather $250/SQL. As the SDR generates 12 SQLs/mo = $3,000 in commission. We look to spend $1,250 for 5 SQLs since this is what the business model is.

SQL 110
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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 122
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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. You can then say that userID X, who came on January 11 from Google Ads, brought us $500,000 in revenue. Here’s a great tutorial for using SQL in BigQuery.).

SQL 84
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The Playbook to Building a Thriving Sales Culture with PatientPop SVP of Sales Justin Welsh (Video + Transcript)

SaaStr

I love a good game of ping pong. I have a young man on my a sales operations team who wanted to do SQL data analysis. QUESTION : As a sales leader, how do you manage expectations across the organization with product and other functions? I love dogs. We’re not going to talk about ping pong. I write down reward generously.

Quota 132
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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? Last but not least, storing raw data can be a total game-changer if you join forces with other data sources. Where do my users come from?

Gaming 85
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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. “You

Sports 131
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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. That’s probably changed the game. 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? So doing some great stuff there. What does the buyer need?