An ad report is a document that summarizes results from platforms such as Google Ads and Meta Ads using performance metrics. Opening each platform's interface and copying figures takes time and can lead to errors. Automation reduces the work involved in collecting, aggregating, and presenting data, giving you more time to analyze results and plan your next actions.
Many ad managers spend considerable time preparing weekly and monthly reports. Moving between platform interfaces to copy figures becomes more burdensome as the number of projects and platforms grows. This article walks through the metrics to include in ad reports, your options for creating them, and how to automate the process. Use it to help choose an approach that suits your business.
What is an ad report?
An ad report organizes ad delivery and performance results into metrics for sharing with stakeholders. It serves two main purposes.
The first is to support decisions about what to do next. You review changes in metrics and use them to guide decisions on budget allocation, bidding, and creative revisions. The second is to report on the ad operations carried out and their results. The report tells internal managers or clients what you did and what happened.
What a report needs to contain depends on who reads it. Internal reports often retain metric breakdowns and detailed data for each platform so team members can immediately discuss next steps. Client reports need to focus on agreed metrics and connect the actions taken with their results. Even for the same ad operations, the level of detail and presentation need to be adjusted for the reader.
Ad reports can cover overall platform performance or use different levels of detail, such as the campaign, ad group, or ad level. Platform- or campaign-level figures are useful for budget allocation decisions, while improving creative requires more detailed ad-level figures. Reporting frequency also affects the level of detail to include, depending on whether you are tracking progress weekly or reviewing results monthly.
Basic report structure
Organizing an ad report as follows helps readers understand the context behind the numbers.
Period overview: Key metrics for the reporting period and comparison with the previous period
Breakdown by platform and campaign: Identify areas with significant changes in metrics
Actions taken: Changes made during the period
Analysis and next actions: Reasons for changes in metrics and what to do next
If "Actions taken" and "Analysis and next actions" are missing from these four sections, the report becomes a list of numbers, leaving readers to infer the context themselves.
Metrics to include in ad reports
Simply listing metrics in an ad report does not explain what is happening. Start by understanding the basic metrics, then combine them according to your objectives. The following are fundamental metrics used in many ad reports.
Metric | Description |
|---|---|
Impressions (imp) | The number of times an ad appeared on a screen. Indicates how widely awareness is spreading. |
Clicks | The number of times an ad was clicked. |
CTR (click-through rate) | Clicks divided by impressions. Indicates how people respond to ad copy and creative. |
CPC (cost per click) | Ad spend per click. Varies with bidding conditions and the intensity of competition. |
CV (conversions) | The number of times a target action, such as a purchase or inquiry, occurred. |
CPA (cost per conversion) | Ad spend per conversion. Provides a basis for evaluating results relative to the budget. |
ROAS (return on ad spend) | The ratio of revenue to ad spend. For the formula and benchmarks, see our article on what ROAS is. |
Reviewing these metrics together makes it easier to understand performance than looking at each one alone. If CTR is low despite high impressions, the creative may not be capturing viewers' interest. If conversions are low and CPA is high, there may be room to improve the destination page or messaging.
In addition to these metrics, you may include measures suited to each stage of the funnel, such as video view rate for awareness-stage ads or time spent on the site after a visit for consideration-stage ads. Too many metrics can make it harder for readers to grasp the main points, so select them according to the report's purpose.
Choosing one primary metric for each project helps keep decisions consistent. Set the main metric based on the objective in advance, such as ROAS for a project focused on revenue or CPA for one focused on the number of new customer acquisitions. Alongside the metrics, keep a record of the actions taken during the period so you can review changes more easily later. Recording the dates when you changed bidding strategies, replaced creative, or increased or decreased budgets alongside the metrics makes it easier to trace what drove the changes.
When presenting metrics, include the difference from the previous period and the direction of change alongside the figures to make the size of the change easier to understand. If you use arrows or colors in tables, explain the comparison baseline so their meaning is clear.
Why report creation becomes a burden
Creating ad reports can become burdensome because several factors overlap in what appears to be a simple task. The burden grows for ad managers handling many projects across multiple platforms. Three common factors are outlined below.
Switching between multiple platform interfaces
Each advertising platform, such as Google Ads, Meta Ads, and Yahoo! JAPAN Ads, has its own interface. As the number of platforms grows, you repeatedly have to log in to each one and check its figures. Metric names, display units, and reporting period boundaries can differ across platforms, so checking the data itself takes time. Export availability and supported file formats also vary. Some platforms let you export data in bulk as a CSV file, while others require you to check figures individually on screen.
Errors from manually copying data
When you manually enter figures from platform interfaces into Excel or a spreadsheet, you can mistype digits or paste data into the wrong location. If the report's figures do not match those in the platform interface, the credibility of the entire report is undermined. When managing multiple projects at once, it is especially easy to refer to the wrong row or column in a table full of similar figures. If you submit a report without noticing an error, you need to follow up with a correction, creating extra communication.
Inconsistent aggregation definitions
Platforms differ in definitions such as conversion measurement windows and whether measurement is based on clicks or views. If the aggregation method changes by report creator or reporting cycle, you cannot compare results accurately with the previous report. Even when platforms use the same metric name, "conversions," they may measure from clicks or from views. Simply adding figures from multiple platforms without understanding this difference can lead you to report more or fewer conversions than actually occurred. Listing figures without aligning definitions produces a report that cannot explain why changes happened.
These three factors may seem independent, but they are connected. The more often you switch between interfaces, the more often you copy data, and the more opportunities there are for errors. Add inconsistent aggregation definitions, and you also have to check that the figures align every time you create a report, increasing the burden further.
Comparing three ways to create ad reports
There are three main approaches to creating ad reports. Each suits different situations and has different limitations, so choose based on the number of platforms and projects you manage.
Source: Google
In terms of cost, Excel and spreadsheets do not carry a fee for the tool itself, but they incur costs in working time. BI and automation tools charge fees but can reduce the time spent on tasks. Comparing the options in terms of what you are paying for can make the choice easier.
Manual reporting can work while you have only a few platforms or projects. As those numbers grow, it may be time to consider moving to a BI or automation tool. A gradual transition from manual work to a BI tool, then from a BI tool to an automation tool, is one option. You can also choose different methods for different projects: handle projects with small ad budgets manually and use automation tools for those with large budgets across multiple platforms. Whichever method you choose, the metric definitions discussed in the previous section need to be aligned first.
Google Ads reporting basics
Google Ads includes tools for creating reports within its interface. Before considering other approaches, understand what these built-in features can and cannot do.
What you can do in the interface
View metrics for each campaign, ad group, and ad over a specified period.
Select metrics and customize reports as tables or charts.
Save reports as dashboards for repeated reference.
Schedule reports to be emailed to specified recipients.
Google Ads reporting lets you use predefined reports or create custom reports by combining metrics and fields as needed. You can also examine figures from different perspectives, such as by device, region, or time of day. However, manually setting up these breakdowns each time takes work. If you want to review results regularly in a consistent format, saving the report as a template is a useful approach.
Limitations of built-in features
Google Ads reporting is limited to Google Ads data. You cannot combine it with data from other platforms, such as Meta Ads or Yahoo! JAPAN Ads, or compare them side by side. Even if you use the same campaign or creative names across platforms, Google Ads reporting cannot display other platforms' figures alongside its own. If you advertise across multiple platforms, you need to create a report for each one and consolidate the figures elsewhere. Whether you do this manually or automate it with an external tool affects the workload involved in creating reports.
Google Ads also provides options to export data to Google Sheets, BigQuery, and Looker Studio. If you want to combine it with data from other platforms, one option is to use these export features to bring it into a BI tool.
How to automate reporting
A step-by-step approach to report automation reduces the risk of failure compared with immediately adopting a tool.
Step 1: Standardize metric definitions
First, agree on the definitions of the metrics in your reports with your internal team or clients. Deciding on conversion measurement windows and which costs to include in CPA in advance helps prevent discrepancies later. If you adopt a tool without aligning definitions, figures based on different platform standards will simply appear side by side, making incorrect decisions more likely.
Step 2: Connect your data
Connect each platform's interface to the destination where you create reports. Using API integrations or BI tool connections instead of manual exports eliminates the need to copy figures each time. Start with the main platforms where you advertise most heavily, then expand coverage to reduce the risk of the work stalling.
Step 3: Create templates
Prepare templates with a fixed order of metrics and consistent chart formats. This avoids starting from scratch each time and reduces formatting differences between reports. Include space to record actions taken during the period alongside metric trends, making it easier to explain results when reporting.
Step 4: Set up scheduled delivery
Set reports to reach stakeholders on a fixed day of the week or at a fixed time. This removes the manual sending step and helps prevent missed reports. Aligning recipients and delivery timing with readers' meetings and decision-making schedules makes reports more likely to be used in actual discussions.
Trying to complete all four steps at once makes it easier to give up partway through. Start by building a template and delivery process for one platform and one project. Expanding coverage as you use the process makes it easier to establish a sustainable routine.
These four steps connect not only to report creation but also to the design of your overall ad operations workflow. For the fundamentals of programmatic (auction-based) ads, also see our article on what online advertising is.
What to look for in an automation tool
When choosing an ad report automation tool, check the following.
Supported platforms: Check that it supports not only the platforms you currently advertise on, but also those you may use in the future.
Update frequency: Check how often data is updated. Whether updates happen daily or figures appear the following day or later affects when you can review them.
Sharing options: Check how reports can be shared with clients as well as viewed internally. Look for delivery options such as URLs, PDFs, and email.
Cost: Check setup fees and monthly charges, as well as how pricing changes as the number of platforms or projects grows.
These considerations affect not only the tool's features but also how much operational work remains after adoption. Before adopting a tool, assess it against the platforms you use and the needs of the people you share reports with. If a free trial or demo is available, connecting your own data makes it easier to understand what using the tool will be like. If you plan to share reports with clients, also check the scope of viewing permissions and the steps for adding or removing recipients.
Cascade is a tool that centralizes ad data from multiple platforms and automates report creation. You can find more details on the Cascade website.
Related reading: For help choosing tools for reporting and other tasks, see 20 digital marketing tools.
For guidance on choosing tools, including report automation tools, see Ad management tools: Types, comparisons, and how to choose.
For a comparison of pricing, supported platforms, and output destinations across tools, see Ad report automation tools compared: Pricing, supported platforms, and how to choose.
FAQ
Are there free ways to create reports?
You can create reports at no cost using Google Sheets and each platform's interface. Looker Studio is also free to use for Google Ads data. However, combining multiple platforms requires configuration to connect their data. Keep in mind that spreadsheet formulas and sheet management tend to become more complex as the number of platforms grows.
How often should I review reports?
The right frequency depends on the size of the project and how often you adjust budgets and bids. A weekly schedule is a useful baseline for projects with frequent budget or creative adjustments, while a monthly schedule can suit those with few major changes. Daily checks for unusual fluctuations in metrics are also effective. Reviewing too often can become a burden in itself, so keep the frequency at a level that supports decisions.
How should I choose comparison periods for reports?
The basic approach is to compare with the previous week or month to identify short-term changes, and with the same month last year to assess seasonal factors. If there were periods with sales promotions or major changes in advertising volume, excluding those periods from the comparison can make it easier to identify the reasons for changes accurately. Clearly stating the comparison period also helps readers understand the context behind the figures.
Does automation eliminate the need to review reports?
Automation handles tasks such as aggregating data and formatting documents. People still need to interpret changes in metrics and decide what to do next. Automation is a way to free up working time; whether it improves decisions depends on how that time is used. The real purpose of automation is to devote the time saved to these decisions and to planning actions. For automation of ad operations beyond reporting, including bid adjustments and budget allocation, see Ad operations and AI automation in 2026.
Are there tools that create ad reports automatically?
There are two broad approaches: configure a free BI and reporting tool such as Looker Studio for automation, or use the reporting features built into an ad management tool. Cascade, an AI agent for ad management, takes the latter approach. It automatically creates reports that aggregate figures from multiple platforms and supports sharing to Slack, Chatwork, and Teams. If manual aggregation is taking too much time, start by considering which approach best fits your operations. For details on the reporting features, see the Analytics + Automated Reports feature page.
Summary
Ad reports serve two purposes: decision-making and reporting. The foundation is to establish the basic metrics, from impressions to ROAS, and standardize their definitions. You can choose among three methods, manual work, BI tools, and automation tools, based on the number of platforms and projects you manage. Google Ads' built-in features cannot consolidate data from other platforms, so if you advertise across multiple platforms, it is worth considering a system that automates data connections and report delivery.
Reporting is an ongoing process that includes reviewing metric definitions and templates. Choose a sustainable approach based on the number of platforms you use and how your team is organized. Addressing metrics, report creation, and automation can turn ad reporting from a burdensome task into a resource for deciding your next move.
