The Right Ways to Leverage Google Ads for Ecommerce Businesses


Key Takeaways

  • An effective ecommerce Google Ads campaign needs to go beyond typical PPC strategies and must be customized to suit your products, margin, and objectives.
  • The blend of Standard Shopping and Performance Max campaigns can work well to get you both control and wide reach.
  • The use of category-based Target ROAS goals is normally more profitable than when using just one target for all products.
  • Improved product feeds can help in getting better visibility in Shopping and Performance Max campaigns as well as ensuring more match in terms of relevant searches.
  • Coverage of long-tail keywords with Dynamic Search Ads can get you even more intent-rich traffic.
  • First-party customer data and audience signals can make your campaigns more efficient and minimize wasted budget.
  • Seasonal planning and promotion scheduling can help your campaigns work more effectively during times of high demand.
  • Landing pages and mobile usability affect conversions.
  • Measuring success by going beyond just last-click sales helps understand performance and future growth better.

An e-commerce store cannot rely on generic PPC practices to deliver desirable results. Every business has different product catalogs, margins, and promotional seasons. When your requirements are unique, you cannot follow what other businesses are doing. What is the option, then? You need to understand how Google Ads may work for your ecommerce business. This requires a quick look at four major components of Google Ads: campaign structure, feed quality, long-tail keyword targeting, and bidding strategy. Whether you are a small or large brand, you must understand how each of these factors affects your ad spend and outcomes.

Campaign structure

Only an experienced ecommerce PPC agency knows that companies need to leverage both Standard Shopping and Performance Max (PMax) campaigns. PMax can provide broader reach across Search, Google Shopping, YouTube, Maps, Gmail, and more. A single campaign can be used for this purpose. You cannot meet such demands through Shopping campaigns alone. However, the challenge is that PMax has its own limitations. It does not help much when it comes to targeting specific search terms or products. You may also have less flexibility with budget allocation.

On the other hand, Standard Shopping campaigns can be used for high-margin and high-volume products. You can categorize products by labels, margins, price points, and offers. An agency can manage these intricacies smoothly. If you are not getting results, it may be the right time to seek its advice.

Bidding

You must be aware of Target CPA and Target ROAS, the two popular bidding strategies. Expert PPC professionals know that ecommerce businesses benefit from Target ROAS because it helps the search engine algorithm account for the real revenue of every conversion. However, correct execution is everything. That is why a reputable agency representative chooses ROAS targets by product category. Most marketers make the mistake of setting a uniform ROAS target for the entire account, which may contain both low- and high-margin categories. Low-margin products need tighter bidding budgets, while high-margin categories can tolerate more aggressive targets. To be precise, a good agency usually does some of these things:

  • Uses campaign-level ROAS targets based on the relevant margin structure.
  • Sets the initial ROAS targets based on the actual Return on Ad Spend from the past 30 days before tightening the budget because aspirational targets often choke campaign data and make you repeatedly analyze the situation.
  • Implements value rules to improve customer economics.

Leverage Google ads for ecommerce businesses

Feed quality

Many PPC advertisers treat product feeds as just data, while they are much more than that. They can affect your rankings in Shopping and PMax campaigns. If you do not optimize your feed properly, your products may fail to appear in relevant search results. Here are a few of the best ways to handle this:

  • Add titles that include all the highly searched-for but relevant attributes of the product. You can follow this format: Brand + Product Variety + Main Feature + Model.
  • Target specific products instead of a general category.
  • Use all custom label fields to classify products by margin, seasonality, offers, best-seller status, etc.
  • Enrich the primary feed by leveraging supplemental feeds to test titles, update text, or add custom labels.
  • Refresh your feed at regular intervals, especially during promotions.

Long-tail keyword coverage

Agencies rely on dynamic search ads (DSAs) to help their ecommerce clients leverage long-tail product searches. Manual keyword targeting does not work effectively here. Through this process, you enable Google to display your ads based on relevant user queries that match your product feed or website content. It creates an opportunity to capture lower-volume searches for specific products, product categories, and more. If you have an extensive store inventory, you may also want to use DSAs to improve your search coverage.

Spending on Google Ads without seeing any results can be frustrating. You already face tough competition as an ecommerce business. If you want to make every budget allocation an investment rather than just an expense, you should hire a trustworthy agency.

Audience Signals & First-Party Data May Improve Efficiencies

Most ecommerce advertisers tend to invest much attention in the keywords and bids but pay no attention to the quality of audience data they receive. Privacy requirements and the fact that user paths are now highly fragmented makes first-party data even more valuable. Customer purchase history, customer loyalty actions, and lifetime value trends may help to create more efficient campaigns with proper utilization of this data. Even a small store can be benefited by structuring this data because then campaigns will differentiate users with different purposes of visiting the website.

Well-prepared audience strategy will help not to waste money on customers who have made the required actions. Instead of retargeting with the same offer to recently-purchased customers, it is possible to build campaigns which will push other actions like adding complementary products to the cart or updating old one in season.

Plan Seasonally, Not During the Scramble

Promotion timeframes offer opportunities, but they can also highlight shortcomings in campaign planning. Businesses that plan their campaigns during promotional time are likely to face issues in collecting data for the algorithms to act appropriately. Advanced planning of campaigns will help in stabilizing the bidding process while ensuring creative content, promotion, and product inventory details are synchronized.

When there is increased customer demand, plans should involve:

  • Predicting inventory levels and pausing products that can run out of stock.
  • Planning for promotions, prices, and feeds before running campaigns under high traffic volumes.
  • Such planning helps in avoiding any disruptions and ensures that the advertising system can focus on acquiring demand rather than making changes to operations.

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Page Consistency Helps Convert More People

Even the best advertisements will fail to deliver results when the page is inconvenient for consumers. Customers expect there to be consistency between the message in the advertisement and the information on the destination page. Clear product pages with all the details like specifications, prices, delivery time, and returns make buyers feel more secure.

Mobile responsiveness is another aspect that requires proper consideration since a considerable number of visitors come through mobile devices. It is important to keep navigation convenient, avoid image loading problems, and have as few unnecessary actions in checkout process as possible. Improvements in page design can help increase profits from the current advertisement efforts without any extra investments.

Beyond Just the Sales Generated

Last click revenue metrics don’t tell you the whole story about the success of your campaign. While some consumers will be comparing products during multiple visits before purchasing anything, others will use direct navigation to access your product from the moment they first learn about you from paid advertisements. Focusing on the last interaction might result in undervaluing campaigns that have succeeded in bringing in new customers.

Those who want a more holistic view of their performance often take a look at several different metrics:

Assisted conversion rates, repeat purchases, average order values, and customer lifecycle along with the immediate sales figures.

When assessing whether your advertising efforts are delivering sustainable growth for your business, think about product-level margins, returns and profitability. Looking beyond a single performance metric will allow you to make more balanced decisions that take into account not just revenue, but profit too. It is rare for ecommerce ad campaigns to become optimized with just one tweak because constant monitoring of many business metrics is a better foundation for scaling your ads.

Conclusion

Launching successful Google Ads campaigns for an ecommerce store involves a more tactical method instead of a one-size-fits-all technique. The structure of the campaign, bidding methods, optimization of feeds, targeting long-tail keywords, collecting audience signals, planning around seasonality, and landing pages are all factors that help in determining how well the campaign is doing. Through optimization of these various factors and measuring their performance both in the short term and the long term, a business can achieve sustainable growth.

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Frequently Asked Questions (FAQs)

  1. Why isn’t the generic PPC strategy good enough for e-commerce businesses?

Since each e-commerce business has its own unique products, profit margin, customer buying behavior, and seasonality issues, customized strategies will work much better at optimizing their budget.

  1. Should I run Performance Max and Standard Shopping campaigns simultaneously?

In most cases, doing so provides a good combination of reach through Performance Max and targeting flexibility offered by Standard Shopping campaigns.

  1. What is Target ROAS and what’s so special about it?

Target Return on Ad Spend (ROAS) is a bidding strategy where campaigns are optimized based on revenue from conversions. Target ROAS is especially suitable for e-commerce businesses.

  1. How does product feed optimization impact the success of Google Ads?

Optimized product feed will enable Google to learn more about your products, hence making it easier for you to appear on searches and perform well on Shopping and Performance Max campaigns.

  1. Explain Dynamic Search Ads (DSAs)

These are auto generated ads based on the content in your website or product feed, which make it possible to capture hard-to-target long tail keywords.

  1. Why is first party data gaining in importance?

First party data such as purchase and loyalty data makes it easy to launch more focused campaigns without depending much on third party data as the privacy policies change.

  1. How would seasonal planning help boost the effectiveness of campaigns?

Pre-planning of promotions, stock updates, price modifications, and even creative assets will provide enough data for the ad algorithms to optimize, preventing any disruptions in times of increased demand.

  1. What KPIs other than sales should ecommerce businesses pay attention to?

Besides the obvious direct revenue indicators, businesses need to keep track of assisted conversions, repeat business, average order value, customer lifetime value, profit per product, and returns.

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What is Teradata SQL Assistant?

Teradata SQL Assistant is a query and information discovery tool for data on the Teradata database. Teradata SQL Assistant is referred to as a Teradata Tools and Utility product. It stores, retrieves, and manipulates data from the Teradata database, or any database that is ODBC compliant. 

We can combine data retrieved from the databases with desktop applications such as Excel to create consolidated reports. The Teradata SQL Assistant can record the SQL activities like timings, row counts, source identification, etc. The Teradata SQL Assistant comes in two editions.

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Teradata SQL Assistant for Microsoft Windows – It is a data discovery tool designed for Windows XP and Windows 2000. We can connect to the database through ODBC connection, retrieve the data, analyze it, and store it locally on a PC.

Teradata SQL Assistant/ Web Edition – It is a web-based version of SQL Assistant. We can connect to the database, query the data, and view the results on the web browser.

Features of Teradata SQL Assistant for Microsoft Windows

Here are the key features of Teradata SQL Assistant for Microsoft Windows.

  • Construct queries on an ODBC compliant database.
  • Execute the same query on different databases.
  • Export the required data from a database to a file on PC.
  • We can generate reports for the data present in the database.
  • We can import a file to create similar reports.
  • It logs all the transactions of the SQL events with timings and status information.
  • We can explore the database objects using Database Explorer Tree.
  • While building stored procedures, we can use a procedure builder that helps in building the logic by providing a list of valid statements.
  • We can limit the data that will be returned to queries.

Features of Teradata SQL Assistant/ Web Edition

The following are the key features of Teradata SQL Assistant/Web Edition.

  • Construct and send queries to any connected database.
  • We can view and sort the results from the browser. 
  • We can save the queries to a file so we can use it in the future to run them automatically.
  • Load queries from a file, edit them, and submit them to a database.
  • We can update the history of the logs with some notes.
  • We can use the find feature on the browser to search for a string in either result or queries.
  • We can stop a running query if it is taking too long.
  • The browser connection will end after 30 minutes of inactivity.

Supported Teradata Database Versions

The following are the Teradata Database versions that the SQL Assistant supports.

  • Teradata Database 16.20
  • Teradata Database 16.10
  • Teradata Database 15.10
  • Teradata Database 15.0
  • Teradata Database 14.10

Pre-requisites and downloading the software

Before we install the Teradata SQL assistant, we have to make sure that the below dependent software is installed on the system.

  • Microsoft .NET Framework 3.5 SP1 or later
  • Java 2 Runtime Environment 1.4.2_06 or later
  • Teradata Database

Go to https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package and click on ‘TTU 17.00.15.00 Windows – Base’. A pop-up appears and prompts you to accept to terms and conditions, click on ‘I Agree’.The package will be downloaded to your PC.

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Teradata SQL Assistant installation

Unzip the downloaded folder and run the setup file to open the installation wizard. It will ask you to choose the language. By default, English will be selected click on ‘Next’. Click on ‘Next’ to start the installation. Then you will get the license agreement. Choose the ‘I accept’ option and click on ‘Next’. It will then show the default installation folder. We can change it if we want, click on ‘Next’ to proceed. 

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We have to choose the features that we want to install. Select ODBC driver for Teradata, BTEQ, FastExport, FastLoad, MultiLoad, TPump, Named Pipes Access Module, Teradata SQL Assistant, and click on ‘Install’. It will then start installing all the selected modules. We can see the status of the installation through the progress bar. Once the installation is complete, we can see all these modules in our apps. 

Defining a Data Source

Open the Teradata SQL Assistant on your system. Click on the ODBC driver on the top left corner. Click on ‘Tools’ and then select ‘Define Data Source’. Switch to the ‘System DSN’ tab, click on ‘Add’, and then click on ‘Ok’. It will then ask to select a data source. Select ‘User Data Source’ and click on ‘Next’. Then we have to select a driver. Scroll down and select the ‘Teradata Database ODBC Driver’. Click on ‘Next’ and click on ‘Finish’. 

You will get a screen to fill in the details of the database. Give a name and description of the connection. Give the IP address or the name of the Teradata server. Give the username, password, and click on ‘Test’. If you get a pop-up that says ‘successfully connected to data source’, your connection is successful. Click on ‘Ok’, it will ask about storing your password. Click on ‘Yes’ and click on ‘Ok’.  You can see your newly created connection in the list of data sources.

Writing a query in Teradata SQL Assistant

You can find the data source on the left side panel. Click on it, and you will get a query window in the middle. Write the below query in the query window.

select * from dbo.tables where DatabaseName=”

will be the name of your database. Select the entire query and click on ‘Run’. You can see the list of tables that you have in your database in the ‘Answerset’ window.You can also see a list of all the queries run in the history window below.

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Import data into Teradata SQL Assistant

We can import a CSV file into the Teradata SQL Assistant with the help of the import function. First, create a table in your database to which you want to import the data. The query syntax should be based on the data of your file. Write the below SQL statement in the query window and execute it.

Create table (column1 not null, ..); 

Go to the File menu and click on the ‘import’ option. Enter the below SQL statement in the query window. 

insert into values(?,?,?,?….);

will be the name of the table that you have created recently. Execute the above query by clicking on the run button. You will get an import file dialog box. Browse the file in your local file system and select your file. Click on ‘Open’ to start importing the file.

Export results to an Excel file from Teradata SQL Assistant

When you execute a SQL statement in the Query window, you can view the results in the ‘Answerset’ window. If you want to export these results into an excel file, we need to redirect the answer set before executing the query.

Select the File menu and click on the ‘Export Results’ option. Enter the SQL statement in the Query window and execute it. You will get an export file dialog box.Enter the file name, select the .xlsx file type from the ‘Save As Type’ menu. When the export is complete, you can see a confirmation message on the export bar.

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Using Teradata.Net instead of ODBC

Microsoft’s .Net Data Provider for ODBC is a temporary solution for connecting to a database. It will have limited functionality like it supports only a few data types. But it does have additional features as follows.

  • The data retrieval is 8 times faster.
  • The data import is 70 times faster.
  • We can edit the data in a table with the help of an editable grid.
  • It will show the syntax errors if a query fails.
  • Macros or parallel query execution will work perfectly.
  • We can see the data in timestamp columns fully.
  • We can return CLOBs with the character set.
  • We can see all the User Defined Functions in the database tree.

Conclusion:

The Teradata SQL Assistant will be hugely advantageous to the database developers. It is a one-stop destination for data retrieval and data manipulation. The rows and columns of a table are not stored on the Teradata SQL Assistant. Instead, they are derived from the database. If there is a network issue and the connection is lost, it will automatically connect to the data source again after the connection is restored.

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