A new era of paid search is emerging with more automation, machine learning, and a lot less keywords and ads. The days of hundreds of campaigns and ad groups are slowly slipping away as AI in Google & Bing evolve. But how do we improve campaign performance with potentially less control? We’ll explore a few ways to use AI in paid search to optimize ad copy, campaigns, and lean into machine learning.

How to Use Chat GPT for Google Ads.

There are a number of ways to use ChatGPT for Google Ads that help improve performance and save time, including competitive analyses and ad copy generation.

Using ChatGPT and AI in Paid Search to Get Ahead Of Competitors.

As paid search experts, we are always trying to stay ahead of competition, analyzing auction insights and trying to differentiate our clients. With ChatGPT prompts, we can create a list of competitors, form SWOT analysis, identify new audiences, and key differentiators. With this information, we can not only identify gaps in competitor strategy that we can take advantage of (creating new campaigns targeting audiences that may not be the norm), but can also create new ad copy and ad assets to gain impression share, improve Click Through Rates & drive more conversions.

Using ChatGPT To Write Compelling Paid Search Ad Copy.

One of the most compelling aspects of using AI in paid search, is the ability to optimize ad copy. Using specific prompts, we can determine what matters most to potential customers (value propositions) and even potential barriers to purchase that we can address in ad copy.
Additionally, we have the ability to use AI to generate ad copy specific to a target audience based on their preferences. While we do use our research and expertise, ChatGPT uses machine learning to capture the key points for us that we can then refine.

For those with less time on their hands, Google announced that they are releasing new features to Paid Search that lets you input a website and the chatbot will recommend keywords, headlines, images and descriptions based on the context best suited for you.

Many of these recommendations already exist within the Google Ads platform today, but now Google will be able to do this in real time for ad copy. For search marketers and brands, this does reduce some control over ad copy, but it is a nice segway into AI capabilities.

Ad copy is one of the main building blocks to paid search campaigns and as the space continues to get more competitive, we need to ensure our ad copy is strong and compelling to help differentiate ourselves from competitors. Using AI in paid search helps craft compelling copy and generate new ideas in less time.

Leaning In To Machine Learning & Automated Bidding.

Ad copy is not the only way AI can help optimize paid search campaigns. Machine learning and automated bidding strategies are constantly evolving on the Google Ads Platform, but it will be one of the most important to test and learn early on.

AI-powered bid strategies like Maximize Conversions and Maximize Conversion Value allow Google’s machine learning to gather information on user behavior and likelihood of converting to make real-time decisions and automate bids to improve performance and costs. This often leads to lower Cost Per Actions and higher conversion rates, while giving us the flexibility to expand our keyword strategies.

As we move towards smart bidding strategies, audience optimization will be a large component of how we create campaigns. Creating segmented audiences that combine customer lists, affinity segments and in-market segments will allow the algorithms to use these as signals to identify potential new customers. This will help us increase reach and deliver ads to the right people at the right time during their customer journey.

What Does this mean?

Integrating AI into your paid search strategy can revolutionize your campaign performance and unlock new opportunities for success. By harnessing the power of AI for ad copy optimization, bid management, and audience targeting, Green Line Digital can help you drive better results, increase efficiency, and ultimately maximize your return on investment. We are embracing the potential of AI in paid search, and coupled with our team of experts, we can create the most efficient, high performing campaigns for our automotive and enterprise clients.

About Green Line Automotive:

Green Line Automotive is a digital advertising agency created for automotive dealerships. Our mission is to deliver tier-one automotive advertising expertise, technology, and service to the tier-three dealers. We give you an advantage over your competition by giving every dealership the best in technology coupled with a fully customizable approach.

See our premier services such as Automotive Paid Search or contact us at info@greenline.nyc or 833-GLD-CARS.

MOORSEVILLE, N.C. - Green Line Automotive and Alpha Prime Racing are delighted to announce their associate sponsorship of Sage Karam and the No.44 Chevy Camaro for the inaugural NASCAR Xfinity Series race at the Chicago Street Course.

Green Line Automotive is proud to continue its unwavering support of Sage Karam in the NASCAR Xfinity Series. “I’m proud to once again welcome Green Line to my partner lineup. Brent and his team continue to support me in my endeavors in NASCAR and I’m grateful for this relationship that continues to grow,” said Karam, driver of the No.44 Green Line Automotive Chevy. This partnership marks Green Line Automotive's third consecutive year as a proud track partner of Karam.

Brent Rogers, Vice President and Managing Partner of Green Line Automotive expressed his enthusiasm about joining Sage Karam and Alpha Prime Racing once more. "We are excited to team up with Sage Karam and Alpha Prime Racing once again, and it's even more special to do so in our home city of Chicago. We look forward to an exhilarating race!" Rogers said.

Don't miss the live coverage of The Loop 121, which will begin at 4:00pm EST on Saturday, July 1st, airing on USA Network.

About Green Line Automotive:

Green Line Automotive is a digital advertising agency created for automotive dealerships. Our mission is to deliver tier-one automotive advertising expertise, technology, and service to the tier-three dealers. We give you an advantage over your competition by giving every dealership the best in technology coupled with a fully customizable approach.

See our premier services such as Automotive Search Engine Optimization or contact us at info@greenline.nyc or 833-GLD-CARS.

Facebook: @greenlinedigitalauto / facebook.com/greenlinedigitalauto
Instagram: @greenlinedigitalauto
LinkedIn: linkedin.com/company/green-line-digital-auto
Twitter: @gldauto

For more information on Sage Karam, please contact Shelby Park Marketing at:
www.shelby-park.com
Manager - Rolando Arroyo
rolando@shelby-park.com

If you have an existing Google Ads account, you may have received an email that gBraid parameters will be enabled for your URLs to measure iOS14.5+ conversions, but what is this and what does it mean for you?

Back in April 2021, Apple made sweeping changes to privacy controls that let iPhone users opt-out of data sharing, limiting tracking across Google Ads resulting in limited visibility in the conversions occurring from paid search campaigns.

As a response to this, Google introduced new parameters, WBRRAID & gBRAID, that help attribute conversions using data modeling to your Google Search, Shopping, Display & Performance Max campaigns, giving advertisers some indication of campaign performance for iOS users. With auto-tagging enabled, these parameters have been available to advertisers since May 2021.

The highly anticipated data migration is just around the corner:

Google Analytics 4 – Google’s next-generation measurement solution – is replacing Universal Analytics (UA) properties, which will no longer process data after July 1, 2023.

While you'll be able to collect and use data in UA properties until July 1 and see your UA reports for six months after that date, Google announced that new data will only flow into Google Analytics 4 (GA4) properties.

What should I do?

We understand how important your data is – it’s a measurement of success, a way to chronicle your story, and more. Green Line Auto offers two flexible solutions to help you retain and access this data.

Cloud Storage: Store your historical UA data in our secure and reliable cloud-based system, which you can access at any time.
Advanced Storage & Reporting: Integrate your UA data with Green Line's reporting system, which not only allows you to retain this data but also provides you with valuable insights such as year-over-year metrics. You’ll be able to access your data at any time and gain important performance insights even after the migration to GA4.

Learn more about our Data Storage and Warehousing offerings here.

How can I compare GA4 data to UA data?

During the migration process to GA4, you’ll notice that your reporting may look different. While some metrics may cross over from UA to GA4, there are others that do not correlate or may be calculated differently.

There are, however, certain key elements that should remain consistent. These include traffic acquisition dimensions such as source, medium, and campaign, as well as metrics such as sessions, pageviews, transactions (if using), transaction revenue (if using), and UA goals (if using). Find out what other metrics are impacted by this transition here.

What are the next steps?

At Green Line Digital, we are committed to helping our clients manage their data effectively. Whether you want to securely store your data, analyze performance insights, or just learn a little more about GA4, we are here to support you during this transition.

Contact us today. If you are a current Green Line customer, reach out to your Account Manager to import your historical data if you haven’t already. If you’re a new client or want to learn more, fill out the form below and a Green Line team member will reach out to you to set up a time to connect.