Category: Excel

How to Import Geographic Performance Data from Microsoft Ads into Excel

Analyzing Geographic Performance data from Microsoft Ads in Excel helps marketers understand how campaigns perform across different locations, enabling more targeted budget allocation and bid adjustments based on regional performance.

Instead of manually downloading reports that quickly become outdated, you can create a live connection for always-current insights into your geographic performance.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store in Excel

  • Step 2:

    Connect your Microsoft Ads account to Coefficient

  • Step 3:

    Import Geographic Performance data with location metrics

  • Step 4:

    Set up auto-refresh to keep your geo data current

Step 1: Install Coefficient and Connect Your Microsoft Ads Account

Start by installing the Coefficient add-in in your Excel workbook and connecting to your Microsoft Ads account.

  1. Open Excel and navigate to the Insert tab
  2. Click Get Add-ins and search for “Coefficient”
  3. Install the Coefficient add-in from the Office Add-ins store
  4. Once installed, open the Coefficient sidebar and click “Import”
  5. Select “Microsoft Ads” from the list of available connectors
  6. Follow the authentication prompts to connect your Microsoft Ads account
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Import Geographic Performance Data

After connecting your Microsoft Ads account, you can import your Geographic Performance data:

  1. In the Coefficient sidebar, click “Import from Microsoft Ads”
  2. Select “Geographic Performance” from the list of available objects
  3. Choose which metrics you want to include (impressions, clicks, conversions by location)
  4. Apply any filters to focus on specific campaigns or date ranges
  5. Click “Import” to bring the data into your Excel spreadsheet
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Set Up Auto-Refresh for Your Data

Keep your Microsoft Ads geographic data fresh by setting up automatic refreshes:

  1. Select any cell in your imported data range
  2. Open the Coefficient sidebar and click “Refresh”
  3. Click “Schedule Refresh” to set up automated updates
  4. Choose your preferred refresh frequency (hourly, daily, or weekly)
  5. Confirm your settings to activate the auto-refresh schedule
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Analyze Your Geographic Performance

With your Geographic Performance data now in Excel, you can identify top-performing and underperforming regions for your Microsoft Ads campaigns. Create pivot tables to compare metrics like CTR, conversion rate, and cost-per-conversion across different locations, from countries down to cities.

Use Excel’s visualization tools to create heat maps or geo charts that make regional performance trends immediately visible. These insights will help you make location-specific optimizations, such as adjusting bids for high-performing regions or creating location-specific campaigns with tailored messaging.

Microsoft Ads Data Available in Coefficient

Available Objects

  • Campaign Performance
  • Conversion Performance
  • Keyword Performance
  • Search Query Performance
  • Account Performance
  • Ad Dynamic Text Performance
  • Ad Extension By Ad
  • Ad Extension By Keyword
  • Ad Extension Detail
  • Ad Performance
  • Age Gender Audience
  • Audience Performance
+21 more

How to Import Google Analytics Conversions (Key Events) Data into Excel

Analyzing Conversions (Key Events) data from Google Analytics in Excel helps marketing and revenue teams understand which actions users are taking on your site and how effectively your funnels are performing.

Instead of manually exporting data that quickly becomes outdated, you can establish a live connection that refreshes automatically.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Conversions (Key Events) as your primary metric

  • Step 4:

    Configure dimensions to segment your conversion data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Conversions Data

After connecting your Google Analytics account, configure your Conversions data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Conversions” or specific conversion events as your primary metrics
    • By event name to track different conversion types
    • By date to monitor trends over time
    • By source/medium to identify which channels drive conversions
    • By user demographics to understand who converts best
    Add dimensions to segment your conversion data:
  5. Apply filters if you want to focus on specific segments of your conversion data
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Conversions data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Conversions data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported Conversions data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your Conversions data current:
  4. Optionally, set up alerts for significant changes in conversion metrics
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Conversions Data in Excel

With your Conversions data now in Excel, you can create valuable analyses like:

  • Conversion rate trends over time
  • Comparison of conversion performance across different channels
  • Correlation between marketing campaigns and conversion spikes
  • Custom visualizations that show conversion funnels and drop-off points
  • ROI calculations based on conversion value and marketing spend

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Conversions data into Excel today with Coefficient and transform how your team tracks and optimizes conversion performance.

How to Import Google Analytics Campaign Data into Excel

Analyzing Campaign data from Google Analytics in Excel helps marketing teams understand which promotional efforts are driving traffic, engagement, and conversions to your website.

Rather than manually exporting data that quickly becomes outdated, you can create a live connection that refreshes automatically with the latest campaign metrics.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Campaign as your primary dimension

  • Step 4:

    Choose metrics to analyze by campaign

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Campaign Data

After connecting your Google Analytics account, configure your Campaign data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Campaign” as your primary dimension
    • Sessions to measure traffic volume
    • Conversions to track goal completions
    • Revenue to assess monetary impact
    • Engagement metrics to evaluate quality of traffic
    Add metrics to analyze by campaign:
  5. Apply filters if you want to focus on specific campaigns
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Campaign data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Campaign data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported campaign data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your campaign performance data current:
  4. Optionally, set up alerts for significant changes in campaign performance
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Campaign Data in Excel

With your Campaign data now in Excel, you can create valuable analyses like:

  • Campaign performance comparison across key metrics
  • ROI calculations for different marketing initiatives
  • Performance trends over time for ongoing campaigns
  • Custom visualizations highlighting your most effective campaigns
  • Automated reports that track campaign effectiveness in real-time

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Campaign data into Excel today with Coefficient and transform how your team analyzes marketing effectiveness.

How to Import Google Analytics Event Count Data into Excel

Analyzing Event Count data from Google Analytics in Excel helps marketing teams understand how users interact with your website and which actions they take most frequently.

Instead of manually exporting data that quickly becomes outdated, you can create a live connection that refreshes automatically with the latest event metrics.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Event Count as your primary metric

  • Step 4:

    Configure dimensions to segment your event data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Event Count Data

After connecting your Google Analytics account, configure your Event Count data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Event Count” as your primary metric
    • By event name to see which actions occur most frequently
    • By date to track trends over time
    • By page to understand where events happen
    • By user type to compare new vs. returning users
    Add dimensions to segment your event data:
  5. Apply filters if you want to focus on specific types of events
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Event Count data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Event Count data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported event data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your event data current:
  4. Optionally, set up alerts for significant changes in event metrics
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Event Count Data in Excel

With your Event Count data now in Excel, you can create valuable analyses like:

  • Most frequent user interactions ranked by volume
  • Event trends over time to identify changing user behaviors
  • Funnel analysis showing progression through key events
  • Custom visualizations highlighting user engagement patterns
  • Automated reports that track event performance across your site

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Event Count data into Excel today with Coefficient and transform how your team analyzes user interactions.

How to Import Google Analytics Landing Page Data into Excel

Analyzing Landing Page data from Google Analytics in Excel helps content and marketing teams understand which entry points are most effective at attracting visitors and driving conversions.

Rather than manually exporting data that quickly becomes outdated, you can create a live connection that refreshes automatically with the latest landing page metrics.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Landing Page as your primary dimension

  • Step 4:

    Choose metrics to analyze by landing page

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Landing Page Data

After connecting your Google Analytics account, configure your Landing Page data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Landing Page” as your primary dimension
    • Sessions to see traffic volume
    • Bounce rate to measure initial engagement
    • Conversion rate to assess effectiveness
    • Revenue to understand value generation
    Add metrics to analyze by landing page:
  5. Apply filters if you want to focus on specific landing pages
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Landing Page data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Landing Page data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported landing page data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your landing page performance data current:
  4. Optionally, set up alerts for significant changes in landing page performance
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Landing Page Data in Excel

With your Landing Page data now in Excel, you can create valuable analyses like:

  • Performance rankings of your top landing pages
  • Conversion funnel analysis from entry point to goal completion
  • Content effectiveness comparison across different page types
  • Custom visualizations showing landing page metrics over time
  • Automated reports that highlight your highest and lowest performing entry points

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Landing Page data into Excel today with Coefficient and transform how your team analyzes entry point performance.

How to Import Google Analytics Pageviews Data into Excel

Analyzing Pageviews data from Google Analytics in Excel helps content and marketing teams understand which pages drive engagement and how visitors navigate your site.

Rather than relying on manual exports that quickly become outdated, you can create a live connection that refreshes automatically.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Pageviews as your primary metric

  • Step 4:

    Configure dimensions to segment your Pageviews data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Pageviews Data

After connecting your Google Analytics account, configure your Pageviews data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Pageviews” as your primary metric
    • By page title/URL to see which content performs best
    • By date to track trends over time
    • By source/medium to identify which channels drive page traffic
    • By device category to understand viewing platforms
    Add dimensions to segment your Pageviews data:
  5. Apply filters if you want to focus on specific segments of your Pageviews data
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Pageviews data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Pageviews data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported Pageviews data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your Pageviews data current:
  4. Optionally, set up alerts for significant changes in Pageviews metrics
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Pageviews Data in Excel

With your Pageviews data now in Excel, you can create valuable analyses like:

  • Top performing content by Pageviews
  • Trends in content popularity over time
  • Comparison of Pageviews across different traffic sources
  • Custom visualizations that show Pageviews alongside other engagement metrics
  • Automated reports that refresh with the latest Pageviews data

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Pageviews data into Excel today with Coefficient and transform how your team analyzes content performance.

How to Import Google Analytics New Users Data into Excel

Analyzing New Users data from Google Analytics in Excel helps marketing teams understand audience growth, acquisition effectiveness, and how first-time visitors interact with your website.

Rather than manually exporting data that quickly becomes outdated, you can create a live connection that refreshes automatically with the latest new user metrics.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select New Users as your primary metric

  • Step 4:

    Configure dimensions to segment your new user data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure New Users Data

After connecting your Google Analytics account, configure your New Users data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “New Users” as your primary metric
    • By date to track acquisition trends over time
    • By source/medium to identify which channels bring new visitors
    • By campaign to measure acquisition efforts
    • By geography to understand regional growth
    Add dimensions to segment your new user data:
  5. Apply filters if you want to focus on specific segments of new users
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your New Users data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the New Users data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported new users data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your new user acquisition data current:
  4. Optionally, set up alerts for significant changes in new user acquisition
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing New Users Data in Excel

With your New Users data now in Excel, you can create valuable analyses like:

  • Audience growth trends over time
  • New vs. returning users comparison
  • Channel effectiveness for acquiring new visitors
  • Custom visualizations showing acquisition by source
  • Automated reports that highlight changes in new user patterns

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics New Users data into Excel today with Coefficient and transform how your team analyzes audience growth.

How to Import Google Analytics Session Conversion Rate Data into Excel

Analyzing Session Conversion Rate data from Google Analytics in Excel helps marketing and revenue teams understand how effectively your site turns visitors into customers, leads, or other valuable conversions.

Rather than manually exporting data that quickly becomes outdated, you can establish a live connection that refreshes automatically.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Session Conversion Rate as your primary metric

  • Step 4:

    Configure dimensions to segment your conversion rate data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Session Conversion Rate Data

After connecting your Google Analytics account, configure your Session Conversion Rate data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Session Conversion Rate” as your primary metric
    • By date to track trends over time
    • By source/medium to identify best-converting channels
    • By landing page to see which entry points convert best
    • By device category to understand platform-based conversion differences
    Add dimensions to segment your conversion rate data:
  5. Apply filters if you want to focus on specific segments of your conversion rate data
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Session Conversion Rate data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Session Conversion Rate data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported conversion rate data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your conversion rate data current:
  4. Optionally, set up alerts for significant changes in conversion rate metrics
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Session Conversion Rate Data in Excel

With your Session Conversion Rate data now in Excel, you can create valuable analyses like:

  • Conversion rate trends over time
  • Comparison of conversion rates across different traffic sources
  • Landing page performance ranked by conversion effectiveness
  • Custom visualizations that highlight conversion rate patterns
  • Automated reports that refresh with the latest conversion rate data

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Session Conversion Rate data into Excel today with Coefficient and transform how your team optimizes conversion performance.

How to Import Google Analytics Sessions Data into Excel

Analyzing Sessions data from Google Analytics in Excel gives marketing teams insight into user engagement and site traffic patterns over time.

Instead of manual exports that quickly become outdated, you can create a live connection that refreshes automatically and keeps your metrics current.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Sessions as your primary metric

  • Step 4:

    Configure dimensions to segment your Sessions data

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

First, you’ll need to install the Coefficient add-in and connect it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Sessions Data

After connecting your Google Analytics account, you’ll need to configure your Sessions data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Sessions” as your primary metric
    • By date to track trends over time
    • By source/medium to identify traffic channels
    • By device category to understand user platforms
    • By geography to see regional patterns
    Add dimensions to segment your Sessions data:
  5. Apply filters if you want to focus on specific segments of your Sessions data
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Sessions data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Sessions data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported Sessions data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your Sessions data current:
  4. Optionally, set up alerts for significant changes in Sessions metrics
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Sessions Data in Excel

With your Sessions data now in Excel, you can create valuable analyses like:

  • Day-over-day and week-over-week Sessions trends
  • Comparison of Sessions across different traffic sources
  • Correlation between marketing campaigns and Sessions volume
  • Custom visualizations that show Sessions alongside other metrics
  • Scheduled reports that automatically update with fresh Sessions data

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Sessions data into Excel today with Coefficient and transform how your team tracks and analyzes site traffic.

How to Import Google Analytics Traffic Source / Medium Data into Excel

Understanding your Traffic Source / Medium data from Google Analytics in Excel helps marketing teams identify which channels drive visitors to your site and allocate resources effectively.

Rather than manually exporting data that quickly becomes outdated, you can create a live connection that refreshes automatically.

TLDR

  • Step 1:

    Install Coefficient from the Office Add-ins store

  • Step 2:

    Connect to your Google Analytics account

  • Step 3:

    Select Traffic Source / Medium as your primary dimension

  • Step 4:

    Choose metrics to analyze by traffic source

  • Step 5:

    Import into Excel and set up auto-refresh

Step 1: Install Coefficient and Connect to Google Analytics

Begin by installing the Coefficient add-in and connecting it to your Google Analytics account:

  1. Open Excel and navigate to the Insert tab
  2. Click on Get Add-ins
  3. Search for “Coefficient” in the Office Add-ins store
  4. Click Add to install the Coefficient add-in
  5. Once installed, the Coefficient sidebar will appear
  6. Click “Import” to begin connecting data sources
  7. Select “Google Analytics” from the marketing integrations
  8. Log in with your Google account and authorize Coefficient to access your data
Coefficient sidebar menu with import, export, automations, and AI Sheet Assistant options.

Step 2: Select and Configure Traffic Source / Medium Data

After connecting your Google Analytics account, configure your Traffic Source / Medium data import:

  1. Choose your Google Analytics 4 property from the dropdown menu
  2. Set your desired date range (last 7 days, last 30 days, custom range, etc.)
  3. Select “Traffic Source / Medium” as your primary dimension
    • Users to see visitor volume by source
    • Sessions to track engagement by source
    • Conversions to measure effectiveness
    • Revenue to understand value by channel
    Add metrics to analyze by traffic source:
  5. Apply filters if you want to focus on specific traffic sources
  6. Preview your selection to ensure it provides the insights you need
Marketing integrations such as Google Ads, Facebook Ads, HubSpot, and Klaviyo listed.

Step 3: Import and Set Up Auto-Refresh

Once you’ve configured your Traffic Source / Medium data selection, import it into Excel and set up automatic refreshes:

  1. Click “Import” to bring the Traffic Source / Medium data into your Excel worksheet
  2. Choose where you want the data to be placed in your spreadsheet
    • Navigate to the “Automations” tab in the Coefficient sidebar
    • Select “Schedule Refresh” for your imported traffic data
    • Choose your preferred refresh frequency (hourly, daily, weekly)
    Set up auto-refresh to keep your traffic source data current:
  4. Optionally, set up alerts for significant changes in traffic patterns
Auto-refresh options for imported data with daily, hourly, and weekly scheduling.

Available Google Analytics Data

Metrics & Dimensions

  • Sessions
  • Pageviews
  • Conversions (Key Events)
  • Traffic Source / Medium
  • Engaged Sessions
  • Session Conversion Rate
  • Total Revenue
  • Landing Page
  • Event Count
  • Campaign
  • Device Category
  • New Users

Analyzing Traffic Source / Medium Data in Excel

With your Traffic Source / Medium data now in Excel, you can create valuable analyses like:

  • Channel performance comparison across key metrics
  • Trend analysis showing how traffic sources evolve over time
  • ROI calculations for different marketing channels
  • Custom visualizations that highlight your most valuable traffic sources
  • Automated channel mix reports that refresh with the latest data

Related Resources

For more information about working with Google Analytics data in your spreadsheets:

Start importing your Google Analytics Traffic Source / Medium data into Excel today with Coefficient and transform how your team analyzes marketing channel performance.