How to Save Hours with Automated Google Analytics Reports

Collecting web analytics data is crucial, but manually generating reports eats up far too much time. Thankfully, Google Analytics takes away this pain by letting you completely automate analytics reporting.

In this comprehensive 2600+ word guide, you’ll learn:

• 5 reports that are essential to automate
• How to set up custom email subscriptions and push reporting into other apps
• Tips to customize date ranges, metrics, dimensions, segments, and more in your automatic reports
• Fixes for common hiccups with scheduled emails or integrations
• Advanced setup for integrating Analytics into business intelligence tools
• Statistical analysis methods to unlock deeper insights
• Comparing Google Analytics capabilities to alternative platforms
• Best practices for data governance and privacy

Automating reports brings serious time savings while making sure you never miss key metrics. Let’s dive in!

Top 5 Google Analytics Reports to Automate

Manually running reports can suck up hours every week. By setting up automated reporting instead, you can keep tabs on crucial website data with no effort at all.

Here are the top 5 reports that I recommend automating right away:

1. Overall Website Traffic

A automated report tracking sessions, users, page views, bounce rate, and other key metrics provides an eagle-eye overview of total website traffic and engagement. Email this to yourself weekly or monthly to spot trends.

2. Top Landing Pages

See which pages attract visitors to initially engage with your site. Then optimize those entries points for higher conversions.

3. Traffic Sources

Understand exactly where your visitors come from, whether that’s organic search, social media, paid ads, or other sites. Identify your best channels to double down on.

4. Top Content

Discover which blog posts, videos, products, or pages resonate most with your audience. Double down on that content type and promote the pieces performing well.

5. Goal Conversions

If you’ve set up goals in Google Analytics, automatically get reports on conversion rates, dollar values, and other goal data without having to manually export it.

Prioritizing even just one or two of these reports to automate will save you significant hassle. Now let’s get them set up!

How to Set Up Automated Email Reports

Here’s a step-by-step walkthrough on setting up a scheduled email report from Google Analytics:

1. Log into your Analytics account and navigate to the Admin section.

2. Click on the Reporting tab.

3. Choose your parameters:

   • Report Type (Flat table, explorer report etc.)
   • Metrics (Sessions, conversion rate etc.)
   • Dimensions like date, landing page etc.
   • Date range relative (last 30 days) or custom (Jan 1 – Jan 30)
   • Additional filters or segments

4. Select a meaningful report title and save it.

5. Click on “Email delivery”.

6. Choose report format (PDF, CSV, Google Docs etc.).

7. Set delivery schedule and email list. You can even integrate Gmail or other email apps.

8. Click save. The report will now send automatically!

You can create unlimited reports to automate based on data points that are most important for your website.

Customizing Your Scheduled Reports

Don’t settle for Google Analytics’ standard report templates. You can customize automated reporting to pull in tailored metrics, date ranges, filters, and more to fit your exact needs.

When creating a report (step 3 above), take advantage of options like:

Date Range Relative vs. Custom

Go beyond last 7, 30, or 90 days. Set any custom dates like Jan 15 – March 30 or October 1 2020 – September 30 2021.

Multiple Metrics

Track common metrics like sessions and pageviews together with goal conversions, average time on page, bounce rates, and more in one report.

Dimensions

Break down your data by crucial factors like traffic source, landing page, geographic location, device type, browser etc.

Filters + Segments

Only analyze sessions, users, pages, goals and other data tied to custom filters like page URLs, traffic sources, countries, device types and hundreds of other options. Save these filtered segments to reuse.

Multiple Tables + Charts

Include both data tables and charts visualizing key metrics on one report. Set up the exact data presentation you need.

Put these together to create comprehensive yet focused reports delivering the precise Google Analytics datasets you want on autopilot.

Additional Tips for Custom Report Setup

Here are some more advanced tactics to customize scheduled reports exactly how you need them:

Use Segments Strategically

Apply segments not just to filter data, but to automate reports for different types of users, channels, conversion goals and more. For example, create one report filtered to organic traffic, another for social visitors, a third for email subscribers who purchase etc.

Update Reports Instead of Recreating

When you need to tweak an existing automated report, edit the setup rather than creating an entirely new report every time. Just open the saved report and adjust parameters like date range, metrics or segments as needed.

Know Limitations by Account Type

Google Analytics 360 paid accounts enable features like data integrations, higher sampling thresholds, and custom reporting add-ons compared to free GA. Understand account differences that may impact report automation. Plan upgrades if needed to build robust reporting.

Pushing Your Automated Reporting Beyond Email

Scheduled email subscriptions are just one way to automate Google Analytics reporting. You can also integrate real-time Analytics data into other powerful business apps.

For example, flow your reports into:

• Google Sheets to run additional calculations and combine with other data sources.
• Google Data Studio to create interactive reporting dashboards updated in real time as your Analytics property collects data.
• Slack, Discord or Microsoft Teams to receive reports right within your collaboration platform so your whole team stays up to date.
• Zapier to connect your Analytics insights into apps like Facebook Ads, your email service provider, CRM, accounting tools and over 3000 more apps.

Check out Zapier‘s Google Analytics integrations to learn more about potential connections to amplify your reporting.

The ability to not only schedule email reports, but also push Analytics data directly into other business platforms, unlocks gamechanging automation for better visibility across your organization.

Step-by-Step Integrations into BI Tools

In addition to productivity apps like Sheets or Slack, you can pipe automated Google Analytics data into sophisticated business intelligence platforms for even deeper analysis.

Here is an overview of how to connect your reports:

Google Data Studio

1. Under Admin section, enable automatic data uploads with unique view ID
2. Create charts, graphs and reports in Data Studio based on uploaded view
3. Set schedules to automate new data uploads

Tableau

1. Export Google Analytics data to BigQuery
2. Connect Tableau to your BigQuery database
3. Build Tableau dashboards with Analytics data

Power BI

1. Use connector like Supermetrics to export Analytics to CSV
2. Import CSV dataset into Power BI
3. Transform and model data for reports

Looker

1. Use stitch data loader to move data from Analytics into Redshift
2. Connect Looker to Redshift database
3. Develop reusable LookML code for GA metrics

These hands-on walkthroughs demonstrate step-by-step techniques to integrate Google Analytics datasets into BI tools for automated, but advanced reporting.

Statistical Analysis to Uncover Deeper Insights

Simply automating export of top-line metrics from Google Analytics provides a solid foundation of visibility. But taking time to statistically analyze your data can help uncover game-changing, hidden insights.

Consider applying techniques like:

RFM Analysis

Use RFM (recency, frequency, monetary value) analysis to segment users and identify your most valuable high-priority customer cohorts based on their Google Analytics behavior. Prioritize marketing towards those high-scoring groups.

Time Series Forecasting

Take historical Google Analytics traffic data and implement time series modeling to predict future volume trends. This forecasts potential traffic needs and seasonal variability crucial for planning.

Multivariate Regression

Discover which Google Analytics dimensions statistically drive key outcomes like conversions, lower bounce rates etc. This illuminates areas to focus optimization efforts for outsized impact.

While Google Analytics excels at flexible automated reporting, integrating the data into statistical programming platforms like R or Python unlocks game-changing analytics capabilities.

Comparing Google Analytics to Alternative Platforms

Google Analytics defines the marketing analytics space thanks to free access, custom reporting, and integrations with Google’s ecosystem. But alternative web analytics platforms each offer unique advantages.

Before investing deeply in Google Analytics automation, understand core differences in tracking methods, data collection, integrations, and reporting capabilities through comparison to competitors:

Tracking Methodology

• Google Analytics: javascript tag implementation
• Adobe Analytics: AppMeasurement library or launch tags
• Matomo: javascript tracker with open source customer data ownership

Data Collection Differences

• Google Analytics: sampling limits on very high-traffic sites
• Adobe Analytics: full census-level data collection
• Matomo: flexible data collection with transparency on methodology

Automated Reporting Variability

• Google Analytics: email PDF, CSV, Google Docs, or web hook notifications
• Adobe Analytics: scheduled report builder export to CSV, PDF and more
• Matomo: email reporting built-in with hundreds of customizations

Do thorough platform evaluations assessing data accuracy, privacy policies, ease-of-use, and requirements for automated reporting to ensure you choose the best analytics solution before investing deeply in any one platform.

Governance and Privacy Considerations

While Google Analytics reporting automation delivers tremendous time savings, speed can sometimes come at the cost of governance and privacy best practices. Keep a few guidelines in mind:

Understand Privacy Requirements

Google Analytics now offers advanced privacy controls like data retention limits and collection toggles. Review to avoid capturing unnecessary statistics from visitors.

Minimize Data Collection

Carefully evaluate each metric and dimension included in reports to confirm it delivers value worth potential privacy tradeoffs. Only track analytics data completely necessary for your business needs.

Set Deletion Rules

Configure Google Analytics to automatically delete data after a defined period (e.g. 14 months) rather than retaining it indefinitely unless manually removed.

Restrict Access

Allow only defined Google Analytics users and email addresses access to scheduled reports to prevent Oversharing of potentially sensitive data with those who should not have visibility.

Supercharge Your Analytics with Automated Reporting

Automating just a handful of the essential reports above will provide tremendous insight into your website traffic while eliminating tedious manual work.

Taking it a step further by customizing unique parameters for your reports and setting up integrations into business intelligence platforms enables genuinely world-class analytics automation.

Put these Google Analytics capabilities to work for your own website. The time and headaches you’ll save are invaluable.

And if you have any other questions on advanced configurations for automated reporting, let me know below! I’m happy to help explain any other integration setup steps or customization tactics in more detail.