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Conversion Uplift

Sales force Automation

Definition

Sales force automation (SFA) is a popular CRM (customer relationship management) software that tracks and manages interactions with prospects and customers, as well as stock control, sales processing and analysing sales forecasts. It has become the most dominant CRM lead tracking and sales management software in the world.

It is common to capture the Salesforce ID in Google Analytics via Google Tag Manager as a custom dimension. This allows you to analyse the behaviour of known customers and better understand why a customer did not convert. It also allows you to export data via BigQuery to your data warehouse and merge your web analytics data with backend data.

Use a dataLayer push on your website to send your Salesforce ID with a relevant event (e.g. login or sign_up). This will allow GTM to capture the Salesforce ID and send it to Google Analytics.

Resources:

A/B testing software – Which A/B testing tools should you choose?

Types of A/B tests – How to optimise your website’s performance using A/B testing.

Credit:

https://www.flaticon.com/search?word=sales

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Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.
Neal Cole

Neal Cole

Neal is the founder of Conversion Uplift and the author of the official GA4/GTM audit course for CXL. It's the course much of the industry trains on. He's spent over 20 years in digital analytics, including senior roles in online gaming and financial services, working out where businesses' numbers go wrong and what it costs them. His work now focuses on server-side tracking, GA4 and BigQuery: getting the data right, and being the person who's accountable for it when a decision depends on it.

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