Create a report

Use report information to help improve your campaign's relevance and the conversion rates for your ads. Here’s how you create a new report and schedule regular reports to be emailed to you.

Microsoft Advertising provides several types of reports to help you monitor, manage and improve your campaign's performance. Get deeper looks into data such as visibility, click-through rate, and conversion rates for your ads, in reports such as:

  • The Keyword, Campaign, Ad and Ad group reports tell you which campaigns are performing well and how your keywords are contributing to campaign performance.
  • The Search term report shows which words customers enter into search to cause your ads to display.
  • The Share of voice report gives you an estimate on where you might be losing to competitors in the marketplace.
Notes
  • Reports will not include campaigns, ad groups, keywords, or other entities with zero impressions.
  • Reporting data is kept for limited periods of time. If you want to learn how far back hourly, daily, weekly, monthly, yearly and summary aggregated data can be retrieved for a report type, see this Bing Ads API doc.
Choose the report you want expando image

Each report type breaks out your data in different ways, to help you see deeper into your campaigns' performance. Choose the report type that shows the data most interesting to you:

Performance

Account
What it shows: The impressions, impression share (%), clicks, spend, and average cost per click for individual accounts. This data can be sorted by individual accounts, currency, bid match type, and delivered match type. Why run it: To observe long-term Microsoft Advertising account performance and trends.
Campaign
What it shows: The impressions, impression share (%), clicks, spend, and average cost per click for each campaign or account. This data can be sorted by campaign, campaign status, and quality score. Why run it: To view high-level performance statistics and quality attributes for each campaign or account. This is also a quick way to flag any major campaign or account problems.
Ad group
What it shows: The impressions, impression share (%), clicks, spend, and average cost per click of your ad groups. This data can be sorted by ad group, ad group status, language, and network. Why run it: To more broadly compare delivery performance statistics by ad group, campaign, or account attributes, rather than at the keyword level.
Ad
What it shows: The impressions, clicks, spend, and average cost per click for each ad. This data can be sorted by ad ID, ad status, ad title(s), display URL, and destination URL. Why run it: To help you determine which ads lead to clicks and conversions, and which are not performing. Having underperforming ads in your account can pull down the quality of your campaigns.
Keyword
What it shows: The impressions, clicks, click-through rate, quality score, quality impact, bid, cost per click, position, and conversions for each individual keyword within your campaign. Why run it: To find out which keywords are triggering your ads and getting clicks. You can also identify keywords that aren’t performing well, to determine if you want to delete them.
Negative keyword conflicts
What it shows: Negative keywords that conflict with some of your keywords, and block your ad from showing. Why run it: This report tells you which keywords and negative keywords are in conflict, and whether the conflict is at the campaign or ad group level. Use this list to figure out which negative keywords to delete.
Search term
What it shows: The impressions, clicks, and click-through rate based on the search terms that have triggered your ads. This data can be filtered for search campaigns and for shopping campaigns. Why run it: To get insight into what your audience is searching for when your ads are shown, as well as ensure that your product titles are relevant to search queries.
Share of voice
What it shows: The impressions, impression share (%), impression share lost to budget (%), and impression share lost to bid. This data can be sorted by keyword, keyword ID, landing page experience, and quality score. Why run it: To view impression share (%) of successful bids for each keyword, and identify opportunities to increase impression share.
Destination URL
What it shows: The impressions, clicks, spend, and average cost per click for your landing pages. This data can be sorted by destination URL, account, campaign, and ad group. Note that only the first URL in the list (ad, keyword, or criterion) is reported. Why run it: To identify landing pages that met audience expectations, resulting in high click or conversion ratios.
Website URL (publisher)
What it shows: The impressions, clicks, spend, and conversions for websites on the Microsoft Search Network and the Microsoft Audience Network. This data can be sorted by website URL, account, campaign, and ad group. Why run it: To see which website URLs are or aren’t performing well enough for your campaign or ad group target settings. For example, if ad impressions at those URLs yield a low click-through-rate, then you might decide to exclude those websites from your campaign.
Ad dynamic text
What it shows: The impressions, clicks, spend, and average cost per click of your dynamic text strings. This data can be sorted by ad title, destination URL, or the param dynamic text placeholders. Why run it: To identify which dynamic text strings are performing well and which strings you might consider changing.
Rich ad component
What it shows: The component clicks and component click-through rate of your rich ads. This data can be sorted by rich ad subtype, ad title, and component. Why run it: To view delivery performance of your Rich Ads in Search (RAIS) campaigns.
Audiences
What it shows: The impressions, clicks, revenue, and conversions for your audiences. Why run it: To evaluate performance of remarketing campaigns.
Goals
What it shows: The spend, revenue, assists, conversions, and conversion steps of your websites. This data can be sorted by account, ad group, campaign, keyword, and goal. Why run it: To discover whether visitors who arrive at your website via an Ad click, complete the steps on conversion pages of your website. This report provides data for your conversions’ goals, including UET tags, App Install Ads, offline conversions, and historical campaign data.
Conversions
What it shows: The conversions, assists, revenue, and revenue per conversion for your campaigns. This data can be sorted by account, ad group, campaign, keyword, and device type. Why run it: To understand which campaigns and keywords are leading customers to complete conversion actions. This report provides data for your conversions’ goals, including UET tags, App Install Ads, offline conversions, and historical campaign data.

Ad extensions

Ad extension by keyword
What it shows: The impressions, clicks, spend, and average cost per click of your extensions for each keyword. This data can be sorted by keyword, keyword ID, ad extension type, and ad extension version. Why run it: To compare how well different versions of your ad extensions are performing for each keyword.
Ad extension by ad
What it shows: The aggregated extension impressions, clicks, spend, and average cost per click by ad. This data can be sorted by ad ID, ad title, ad extension type, and ad extension version. Why run it: To compare how well different versions of your ad extensions are performing with each ad.
Ad extension details
What it shows: The impressions, clicks, spend, and average cost per click of individual extension items. This data can be sorted by the individual ad extension property value, ad extension ID, and ad extension type. Why run it: To discover the effectiveness of individual ad extension items, for example, each link of a sitelink extension.
Call forwarding detail
What it shows: Duration for each forwarded call that originated from a call ad extension. Why run it: To discover which accounts, campaigns, or ad groups are driving the most completed phone calls.

Product ads

Product partition
What it shows: The impressions, clicks, spend, average cost per click and average conversion for each product group in your Microsoft shopping campaigns. Why run it: To see the performance data for the product groups in your shopping campaigns and to optimize your campaigns accordingly.
Product partition unit
What it shows: The impressions, clicks, spend, average cost per click, and average conversions for each product group in your Microsoft shopping campaigns. Depending on the report time and columns you choose, the report may include more than one row per product group. Why run it: To see product partition unit data of your Product Groups in Microsoft shopping campaigns.
Product dimension
What it shows: The impressions, clicks, spend, average cost per click and conversion for each product in your catalog (each line item in Microsoft Merchant Center catalog). Why run it: To figure out which of your products are triggering ads and getting the most clicks, and optimize the ones not performing so well.
Product match count
What it shows: The number of products that are matched and targeted at the campaign, ad group, and product group level. Why run it: To see if you covered your bidding across the Microsoft shopping campaigns inventory.
Product negative keyword conflicts
What it shows: Shopping negative keywords that conflict with some of your products, and block your ad from showing. Why run it: This report tells you which products and negative keywords are in conflict, and whether the conflict is at the campaign or ad group level. Use this list to figure out which negative keywords to delete.
Product search term report
What it shows: The impressions, clicks, click-through rate, and average position for search terms that have triggered your ads. Why run it: To see what your audience is searching for when your ads are shown. You can use this information to make informed additions, removals, or edits to both your keyword and negative keyword lists.

Change history

Change history
What it shows: A record of changes made to an account, including keyword bid changes, landing page changes, new campaign creations, or when new account budgets are added to the account. Why run it: To discover when changes to an account were made, as well as which user made them.

Targeting

Age and gender
What it shows: The impressions, clicks, spend, and average cost per click for each ad group, organized by gender and age group. Why run it: To discover how your campaigns and ad groups are resonating with audiences of diverse age and gender.
User location
What it shows: The impressions, clicks, spend, and average cost per click for each ad group, organized by city, country, metro area, radius, state, and account. Why run it: To see which locations your traffic is coming from. You can then validate whether your location targeting strategy is successful, and identify opportunities to improve.
Geographic
What it shows: The impressions, clicks, spend, and average cost per click for each ad group, organized into columns that show the location used to serve ads. The location can be where the customers were physically located (location type is physical location) or the location that customers showed interest in (location type is location of interest.) Why run it: To see which locations your traffic is coming from. You can then validate whether your location targeting strategy is successful, and identify opportunities to improve.
Professional Demographics
What it shows: The impressions, clicks, spend, and average cost per click for each ad group, organized by company, industry, and job function. Why run it: To discover how your campaigns and ad groups are resonating with different companies, industries, and job functions.

Billing and budget

Budget
What it shows: Your monthly budget, how much you have spent to date, and whether you are on target to spend your monthly budget. Why run it: To help control and manage your advertising spend for a particular month.
Billing statement
What it shows: Billing documents, including invoices and credit memos. Why run it: To view an overall summary of your billing information.

Labels

Keyword
What it shows: The impressions, clicks, click-through rate, quality score, quality impact, bid, cost per click, position, and conversions for each labeled keyword. Why run it: To organize your keywords into groups based on whatever is important to you.
Ad group
What it shows: The impressions, clicks, click-through rate, quality score, quality impact, bid, cost per click, position, and conversions for each keyword with the specified label. Why run it: To organize your ad groups based on whatever is important to you.
Account
What it shows: The impressions, clicks, click-through rate, quality score, quality impact, bid, cost per click, position, and conversions for each account with the specified label. Why run it: To organize your accounts into groups based on whatever is important to you.
Campaign
What it shows: The impressions, clicks, click-through rate, quality score, quality impact, bid, cost per click, position, and conversions for each campaign with the specified label. Why run it: To organize your campaigns into groups based on whatever is important to you.

Dynamic search ads

Dynamic search ad auto target
What it shows: The clicks, impressions, and other performance metrics of each of your dynamic ad targets. Why run it: To understand how your dynamic ad targets are performing and where bid adjustments may be useful.
Dynamic search ad category
What it shows: The clicks, impressions, and other performance generated from your website. Why run it: To check the performance of your existing category targets or to find new categories worth targeting.
Dynamic search ad search term
What it shows: Search terms that triggered your dynamic search ads and their corresponding headlines, final URLs, and associated performance metrics. Why run it: To see how your ads perform against search terms. The data can help you find negative keywords (so that you're not spending money targeting the wrong customer), as well as the right keywords that create conversions.
Create a report expando image
  1. From the top menu, select Reports > Reports.

    If you're using the new Microsoft Advertising navigation, from the navigation menu on the left, select Reporting > Default reports.

  2. Select the report you want to run from one of these sections:
    • Recent reports: These are the top five most recently accessed reports, shown in chronological order.
    • Default reports: These are predefined reports. Choose from Performance, Ad extensions, Product ads, Change history, Targeting, Billing and budget, Labels, or Dynamic search ads.
    • Customized saved reports: These are your saved reports or reports that are shared with you.
  3. A preview of the report will load with the following capabilities:
    • Sort
    • Filter
    • Conditional formatting
    • Change account scope (from the All account dropdown)
    • Change date from the date selector
    • Save, Share and Schedule report
    • Download
    • Column selector
Notes
  • You can select metrics for time under the column selector menu.
  • Remember, effects of any updates you make to campaigns can take up to a couple of weeks to show in report data. So, consider running performance reports in two- to four-week intervals.
  • You can regularly run reports either manually using those saved in Reports History, or by scheduling reports to automatically run on a regular basis.
Save a customized report expando image

You can customize and save a standard report, to run it again in the future.

  1. From the top menu, select Reports > Saved custom reports.

    If you're using the new Microsoft Advertising navigation, from the navigation menu on the left, select Reporting > Saved custom reports.

  2. Select either Performance, Ad extensions, Product ads, Change history, Targeting, Billing and budget, Labels or Dynamic search ads from Recent reports or Default reports.
  3. Make any desired changes to the report's conditional formatting, date/time range, account scope, or columns.
  4. Select the save icon next to the report name to save your changes.
    Note: If you don't save your reports, you will lose any changes.
Notes
  • After you save your report, it will show in the left pane under Recent reports.
  • To access your saved reports, select My reports and go to the Saved customized reports page.
  • To help you more easily find and reuse your custom report, at the top of the page, enter a distinctive name in the Report name box.
Set up a regularly scheduled report or email the report expando image
  1. From the top menu, select Reports > Reports.

    If you're using the new Microsoft Advertising navigation, from the navigation menu on the left, select Reporting > Default reports.

  2. Select either Performance, Ad extensions, Product ads, Change history, Targeting, Billing and budget, Labels or Dynamic search ads from Recent reports, Default reports, or My reports.
  3. Make any desired changes to the report's conditional formatting, date/time range, account scope, or columns.
  4. In the summary bar at the top of the report preview, select the pencil icon next to Scheduling frequency.
  5. Turn on the Schedule this report toggle.
  6. Select the frequency, day of the week, time of day, start date, and end date for the scheduled report.
  7. Under Send report to, select the email addresses where you want to send the report.
  8. Under Format, select the desired format of the report.
  9. Select Include report as an email attachment if you want the report sent as an attachment.
  10. Select Save.
Important

Send report to will only allow you to email/share the report with users that have access to the appropriate entity.

Notes
  • To access your scheduled reports, select My reports and go to the Saved customized reports page.
  • As of August 1st, 2019 all new reports must be scheduled to run on one of the first 28 days of the month and set to one of the following frequencies: Daily, Weekly, or Monthly. Please note that this will not impact your existing scheduled reports.
Cancel a scheduled report expando image
  1. From the top menu, select Reports > Saved custom reports.

    If you're using the new Microsoft Advertising navigation, from the navigation menu on the left, select Reporting > Saved custom reports.

    .
  2. From the Saved customized reports grid, find the scheduled report you want to cancel and select Delete.
Unsubscribe from report notifications expando image

You can always opt out of receiving scheduled report notifications, even if you created the report yourself. There are two ways to do so.

Option 1:

In the footer of a scheduled report email, click Unsubscribe from this scheduled report.

Option 2:

  1. From the top menu, select Reports > Reports.

    If you're using the new Microsoft Advertising navigation, from the navigation menu on the left, select Reporting > Default reports.

  2. Select My reports and find the Edit scheduled frequency column. Clear the checkbox to unsubscribe from report notifications.

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