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A Quick Primer on B2B Conversion Optimization

ConversionXL

Some of the same underlying principles apply, but because of the inherent differences in buying decisions and sales cycles, pulling B2C optimization practices straight from the book might be a bad idea. There are a few things that make optimizing for B2B a different beast: The sales cycle is usually longer.

B2B 48
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Takeaways from our first V1 Data Team Hangout

Version One Ventures

Let’s think about the typical (and simplified) data flow in a company: raw data is aggregated, normalized or processed and then stored in a data warehouse. As a company grows bigger, dashboards sprout up all over the organization with KPIs and metrics that mean different things to different people. What’s the problem with this?

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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. What’s the difference between raw and aggregated data in Google Analytics? Google Analytics, in the free version, provides only aggregated data. Where do my users come from?

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Startup Resources

www.vccafe.com

Startup Metrics for Pirates â?? SaaS Metrics Tutorial â?? turn customer feedback into sales and relationships. SQL database hosting from browser.Python/Javascript APIs. SaaS Sales Team Compensation â?? aggregation. Startups For Sale. Startup Foundry tools list. Small Business tools list. Zendesk â??

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Google Analytics vs. Google Analytics 360 (Based on a Decade of Implementations)

ConversionXL

For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns. Custom dimension and metrics. With Google Analytics 360, you can have 200 custom dimensions and 200 custom metrics.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

It also handy explanations of the metrics, with key context where necessary. These will sound like: Metric x is down because of our inability to take advantage of trend y and hence I recommend we do z. It provides a brief snapshot of the entire business. From 3rd grader attendance to new artworks on view to expenses to (hurray!)

Analytics 159
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Multichannel Attribution: How to Measure the Unmeasurable

ConversionXL

When examining the ROPO effect, traditional brick-and-mortar sales virtually vanish for certain categories. For instance, say you want to understand what share of your offline sales were influenced by online ad campaigns. Combine data about offline sales and user behavior on the website, taking into account order completion rates.