Google Ads Analytics: 5 Brilliant Ways to Boost Ad Campaigns

on Business Analytics, Data Analytics, Data Visualization, Google Analytics, Marketing Analytics, Marketing Dashboards, Tutorials • July 29th, 2021 • Write for Hevo

Marketers are always juggling alternatives when it comes to making decisions that influence business growth and brand awareness. Most of these decisions are accompanied by typical queries, such as determining which keywords are receiving a high Search Traffic and which are assisting with Conversions, or reviewing top-performing Marketing Channels & Marketing Techniques, or calculating Cost Per Action (CPA) on a usual Campaign.

Google Ads Analytics, which is a seamless integration of Google Ads and Google Analytics Reporting, allows Marketers to handle such queries in a trouble-free manner. With Google Ads Analytics, it’s now quick and simple to transform Data into Insights, generate reports that assist budget planning and lead to high-performing Campaigns. Not only do you create better and optimised Marketing Ad Campaigns, but with Google Ads Analytics, you get a more comprehensive knowledge of the whole user journey from Impression to Conversion.

If you are already using the Google Ads Analytics platform, this inclusive guide is for you. Follow up to get more information on subjects like Key Metrics, which your business should track and review, for your Ad Campaigns and 5 savvy strategies to optimise them.

Table of Contents

Introduction to Google Ads

Google Ads Logo: Google Ads Analytics
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Google Ads is a Paid Advertising platform that comes under the Pay-Per-Click (PPC) Marketing Channel, allowing businesses to promote their products and services on Google Search, Google Shopping, Google Maps, and other Google’s websites and tools including Google Display Network (Youtube, Gmail, Blogger, and thousands of partner websites). 

Google has a Search Engine Market Share of 92.47%, making it unquestionably “the greatest source” of prospective customers for your business, registering over 6 billion searches each day. Thousands of businesses use Google Ads’ extensive reach to boost Sales and convert leads.

To display Ads on the Search Engine Results Page (SERP), Google takes bids on specific targeted keywords and pairs them with an assessment, called Quality Score. Your Ads’ Quality Score depends on various factors like your Google Ads relevance to the search query, The historical Click-Through Rate (CTR) of the Ad and the overall account performance in the past.

In addition, Google Ads has several campaign types which you may use to promote your products and services, like:

  1. Search Network Campaigns: Ads, generally in text form, which appear on Google Search Engine Results Page (SERP) when someone searches for a product or service that’s similar to yours.
  2. Display Network Campaigns: Ads, usually in an image form, which appear on websites or apps that your customers visit.
  3. Video Campaigns: Ads, often in 6 to 15-second films, which appear before or during YouTube content streaming.
Google Ads Campaign Types
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Introduction to Google Analytics

Google Analytics Logo: Google Ads Analytics
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Google Analytics is a free and one of the most widely used Websites Analytics Software. It enables Website owners to view information on how people explore, engage, and navigate between their Website pages. This information is useful for Search Engine Optimisation (SEO) and Marketing purposes.

Google Analytics with its powerful reporting tools, provides an extremely detailed analysis of your Website’s and/or App’s performance. It can easily integrate with Google’s Marketing and Advertising Platforms such as Google Ads, Google Search Console, Data Studio, and eventually compile data to form a Single Source of Truth (SSOT). Google Analytics provides reports to gain insights on metrics like Traffic sources, Popular landing pages, Bounce Rate, Conversion Rate, and Pageviews. 

Google Analytics also lets you customise reports using its Customization feature. You can not only create custom metrics by defining your Dimensions and Metrics but also integrate external Data sources like your Customer Relationship Management (CRM) software.

The Data available to your Dashboard in Google Analytics can be majorly classified into two categories:

  1. User Acquisition Data: Information about your users prior to their visit to your websites, like their age, gender, and interests, and the other websites they are coming from.
  2. User Behavior Data: Information gathered about your website’s visitors while they are on the site, like how long did a user stay on your website, what pathway do they mostly opt for, their engagement with Call to Action (CTA) elements.
Google Analytics Dashboard: User Acquisition Data and User Behavior Data
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Google Ads Analytics: How Does It Help?

The focus of Google Ads is on driving people to your website, but that’s just half the battle; Google Analytics bridges the gap by offering insight into what customers do once they arrive. When you leverage both, you can measure things like which advertisements generate the most Clicks and Conversions, allowing you to tailor your Campaigns to focus on your best-performing advertising.

Google Ads Analytics provides this information about visitors to assist and improve your customers’ online experiences, which may help you increase Conversions (such as Purchases and Sign-ups) and your overall Return on Ad Spend (ROAS).

Some other benefits of using Google Ads Analytics include:

  1. User Segmentation: Segmenting allows you to understand a lot about your customers and effectively target them. With Google Ads Analytics you can categorise your visitors based on new or recurrent, geographical information, and referrals. This allows you to add more value and personalization to your online Google Ad Campaigns.
  2. Discover Right Channels: Google Ads Analytics enables you to discover the ideal Advertising Channels for your company. You may also look into Social Media sites, Online Streaming Websites like Youtube and see where your target audience is most active and engaged.
  3. Retargeting: With Google Ads Analytics you can set up Retargeting Campaigns and Display Ads to customers who have shown interest in your brand (through the website, app, videos, etc.). As they browse the internet and visit websites that use the Google Ad Network, they are served with your Ads.
  4. Easy Integration: Google Ads Analytics integrates with other Google and third-party services like:
    • Google Search Console
    • Google AdWords
    • Google Webmaster Tools
    • CRMs like Salesforce, HubSpot, Zoho, etc.

Key Metrics to Track in Google Ads Analytics

When it comes to matching product promotion with user intent, Google Ads Analytics serves as one of the best and biggest Paid-Per-Click (PPC) Marketing Platforms in the market. Successful Ad promotions require Marketers to monitor, evaluate and optimise their Google Ads Campaigns regularly. 

Google Ads Analytics has a ton of metrics to offer, but it only makes sense to keep track of critical metrics which will help you evaluate your Marketing Campaigns and help create strategic decisions to drive growth.

Here’s a list of important Google Ads Analytics metrics that your business should always track:

A. Impressions

Impressions represent how often your Ad is shown. An impression is counted each time your Ad is shown on a Search Engine Results Page (SERP) or other sites on the Google Network.

To improve this metric, you may raise your Campaign budget and increase your Google Ads bid, as this determines how frequently your Ad is seen. Alternatively, you can adjust Geo-targeting settings and boost the quality of your Ad to increase the number of impressions.

B. Clicks and Click-Through Rate (CTR)

Clicks show how many times your Ad was clicked. The number of clicks in itself doesn’t show the effectiveness of your Ad, but it’s through the Click Through Rate (CTR), you can determine your Ad Performance.

Click-Through Rate (CTR) can be used to gauge how well your Keywords, Ads, and Free listings are performing.

Click-Through Rate = Number of clicks that your Ad receives/ Number of times your Ad is shown.

A high CTR indicates that customers find your advertising and listings to be useful and relevant. This also adds to the expected CTR of your keyword, which is a component of Ad Rank.

CTR can be improved by writing a compelling Ad Copy, improvising on Quality Score, Remarketing, and using Smart Bidding Strategies

C. Return on Advertising Spend (ROAS)

Return on Advertising Spend is a metric that determines how cost-effective your advertising activities are. ROAS is the ultimate metric that lets you track Campaign Performance at the beginning, the mid and the very end of your Ad Campaign, which can help you decide whether you would want to reframe your Ad Campaign or create a new one. 

Return on Advertising Spend (ROAS) = Cost of Ads/ Revenue received from Ads

In Google Ads, it is called “Conv. value/cost“.

Return on Advertising Spend (ROAS): Google Ads Analytics
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You can either increase revenue or lower cost so you can boost the ROAS of your Pay-Per-Click (PPC) Campaigns. Some methods to increase your ROAS are:

  • Improving the Mobile Friendliness of your Website.
  • Refining Keyword Targeting.
  • Geo-targeting.
  • Using Product Listing Ads (PLAs).
  • Improving the Quality Score of your Google Ads.

D. Cost Per Action (CPA)

Cost Per Action (CPA), also sometimes referred to as Cost Per Conversion (CPC), represents the amount spent on acquiring a customer who makes a Conversion. This conversion is set following the goal of advertisement and it may include completing a Purchase, Signing up for something, or viewing a video.

Cost Per Action = Total cost of Ads/Number of Actions 

If your Cost Per Action is very high, it might indicate that something is wrong with your advertisements. You may be targeting the incorrect audience, or your Ad Copy may be insufficiently appealing.

According to WordStream’s report, the average Cost Per Action across Google Ads is $59.18 on the Search Network and $60.76 on the Display Network.

You can reduce your Cost Per Action in Google Ads Analytics by:

  • Identifying keywords with higher conversions and using them.
  • Reviewing used keywords regularly and optimizing them.
  • Retargeting your customers.
  • Optimizing your landing pages.

E. Cost Per Click (CPC)

Cost Per Click (CPC, not to be confused with Cost per Conversion), represents the amount you pay to Google per user click. CPC is an interesting metric since it tells the financial success of your Ad Campaign. For an optimised Ad Campaign, the Cost Per Click is low. 

Average Cost Per Click = Total amount spend / Number of clicks

Because not everyone who clicks on your Ad will go on to perform your desired action, your Cost Per Action (CPA) will often be higher than your Cost Per Click (CPC).

Cost Per Click also provides a lot of information about the degree of competition and the overall optimization of a Campaign. The lower the CPC, while keeping the overall cost constant, the more visitors you drive to your website and the more likely you are to make a sale.

Strategies to Optimise your Ad Campaign Performance on Google Ads Analytics

Marketing efforts can risk a lot of time and money if Ad Campaigns go unaligned with business objectives or fail to generate Conversions. With Google Ads Analytics’ Reporting and Metrics, you can assess your Ad Campaign Performance, review and reframe your Pay-Per-Click (PPC) Marketing Strategies as if necessary.

With certain solid strategies in place, you can generate more traffic to your websites, boost Conversions and Profits, and outperform your competitors. Here are a few tips to maximise your Ad Campaign Performance using Google Ad Analytics:

1. Delete Unnecessary Metrics

When working with tight budget considerations, optimisation should come from the Google Ads Analytics Dashboard itself. Google has tons of metrics to display but there are high chances, most serve less relevance to your Marketing Strategies.

To be as cost-effective as possible, you need to be more focused and aligned. Set up your own columns with different variations of data. Eliminate unnecessary metrics which aren’t tracked by your business regularly.

2. Perform Keyword Research

Keyword Research is one the most fundamental aspects of creating relevant Ad Copies, improving your Ad Quality Score and getting Search Traffic. Researching keywords assists you in better understanding your Target Audience and how they search for your products or services.

To find the most beneficial keywords, you can use the Google Keyword Planner, a tool, part of Google Ads Analytics Dashboard, that allows you to select the right keywords based on search volume and competition. You can also refer to some other popular Keyword Research tools like Ubersuggest and Google Search Console to get more powerful data like CPC, Volumes and Trends.

3. Use Audience Targeting

Google Ads Analytics in the last recent years has developed its targeting options even more granular. With Google Ads Analytics you can decide which audience to serve, based on their demographics. You can also specify additional targeting filters like age, gender, income level, and customer relationships.

Google Ads Analytics also houses an In-Market Audiences feature, that allows you to target customers who are researching your products or services. In-Market Targeting (also known as “Interest Category Marketing“) can help advertisers boost awareness and drive attention among consumers who are “in-market” to buy a specific type of item or service.

In-Market Targeting: Google Ads Analytics
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4. Remarketing

Remarketing is a method of reaching out to people who have previously visited your website or downloaded your mobile app. It enables you to carefully place your advertisements in front of these audiences while they explore Google or its partner websites, thereby increasing brand recognition or reminding those audiences to make a purchase.

In Google Ads Analytics, you can target remarketing lists, focus advertising, increase registrations and promote awareness with standard and dynamic remarketing

Remarketing also improves conversion rates with a reduction of losses. Coupled with SEO, Social referrals or Standard Ads, remarketing can be a secondary line of attraction to a brand.

5. Attractive Landing Page

A landing page is a standalone web page where visitors land and consume information. Landing pages are also the deciding factors of whether a user will interact with Page elements, or make purchase decisions. An attractive landing page must appeal to your Target Audience, compel them to act, and meet their expectations.

Google Ads Analytics lets you trace visitor journeys, how they navigate across your web pages. It also lets you know about Bounce Rate, the percentage of visitors that leave your website immediately after landing.

Here are some methods which you can use to create a conversion-worthy landing page:

  • Using pictures and videos of products and services that attract customers’ attention.
  • Include wholesome information about the products and services your business offers.
  • Using powerful Call to Action (CTA) buttons like Newsletter Sign Ups, Product Discount Offers, “Add to Cart”, “Learn More” to get interested customers’ information and retarget them.

Conclusion

This article introduced you to Google Ads Analytics, a great and popular platform among Marketers to track and evaluate their Marketing Ad Campaigns. It presented to you Key Metrics like Impressions, Click-Through Rate (CTR), Return on Advertising Spend (ROAS), and Cost Per Click (CPC) which are useful for gauging Ad Campaigns and five strategies, which you can leverage to boost revenue and profits, generate Conversions, optimize Campaign Performance and drive brand awareness.

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Hevo Data, a No-code Data Pipeline, helps you transfer data from a free data source of your choice such as Google Analytics, Google Ads, etc., in a fully automated and secure manner without having to write the code repeatedly. Hevo, with its strong integration with 100+ sources & BI tools, allows you to not only export & load data but also transform & enrich your data & make it analysis-ready in a jiff.

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