Remove CRM Remove Price Remove SQL Remove X-functional
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Google BigQuery: A Tutorial for Marketers

ConversionXL

dashboards in Google Data Studio (or any other visualization tool, for the price of that tool). Alternatives include Amazon Redshift , Snowflake , Microsoft Azure SQL Data Warehouse , Apache Hive , etc. Imagine you need a monthly report with data from Google Analytics, your CRM, call tracking software, and some other sources.

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? A pricing table for BigQuery usage. As long as you can export your CRM data with a unique lead ID (e.g., 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. Highly leveraged sales compensation plans are mostly seen in transactional sales, where the volume is extremely high at low prices. 40,000/150 = $267/SQL. Or rather $250/SQL.

SQL 103
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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? 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. Because marketing is the revenue function. How did it change his mindset?

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

SaaStr

So, one of the interesting facts is, they did this analysis and they said, “Okay, when we make an investment, we can … without looking at M&A or process changes or pricing or sales growth, what they identified was 70% of the increase in valuation of their companies came from increasing organic sales growth. Just measure SQLs.

Growth 73
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SaaStr Podcast #348 with Dataiku Chief Customer Officer Kurt Muehmel

SaaStr

How does Kurt think about the right pricing mechanism for the customer today? They have that data available in their data warehouses, in their CRM systems, so there’s that available. You’re telling me mathematically the answer is going to be X, but I can’t understand why. How does Kurt feel about discounting?

Customers 110
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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

The other half have a mix of data sources, which inevitably include an offshore SQL database (or ten) managed by an external vendor whom no one can track down. Pricing varies substantially based on the number of users and, in some cases, amount of data, but generally starts around $1,000 per year, though it can easily scale into six figures.

Sports 131