Google Analytics

Run this process everytime you want to give a basic structure for a "Google Analytics" Subject to employees

6 steps

Process steps

1

Google Analytics

5 days from previous step
task
[logo, gif, video] Website: [insert the website, appstore download location, etc.] Login Information: Username: Password: Description: [include a brief description of what the tool is and how it brings value to your business.] What we use it for:[use 1] [use 2] [use 3]
2

Set up property and tracking

1 day from previous step
task
Create your Google Analytics property and get your tracking code. Install it on every page of your site - header placement usually works best. Verify it is firing correctly using real-time reports or the Tag Assistant. Double-check that data is flowing before moving on. Missing tracking means missing insights.
3

Configure goals and conversions

1 day from previous step
task
Define what success looks like for your site. Form submissions? Purchases? Newsletter signups? Page views of key content? Set up goals to track these actions. Without goals, you are just counting visitors with no context about whether they are doing what you want them to do.
4

Set up custom reports and dashboards

1 day from previous step
task
Build reports that answer your specific business questions. The standard reports are fine for basics, but custom dashboards show you what actually matters. Include traffic sources, top pages, conversion rates, and user behavior flows. Make reports easy to read at a glance.
5

Connect to other tools

1 day from previous step
task
Link Google Analytics to Search Console, Google Ads, and any other marketing tools you use. These integrations give you the full picture - from how people find you to what they do after arriving. Data silos hide important connections between marketing spend and actual results.
6

Establish review cadence

1 day from previous step
task
Schedule regular reviews of your analytics data. Weekly for tactical decisions, monthly for trends, quarterly for strategy. Look for patterns, anomalies, and opportunities. Analytics only helps if someone actually looks at it and takes action. Share insights with relevant teams so the data drives decisions.

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