How to Use Semantic Search for Paid Ad Campaign Copy

Semantic search isn’t only for organic traffic; it’s for paid search as well. Understanding the difference between broad and exact match search is important, but semantics is all about the search intent behind a query. 

Google is focusing a lot more on search intent and keyword variants. Knowing the correlation between intent and semantics can help you narrow down to the perfect audience. 

How Does Semantic Search Work? 

What is semantics, and how does it apply to search? Semantics focuses on the search intent of a keyword and the thoughts and feelings that the person has as they search that keyword. 

It’s a complicated subject, and there isn’t a “black and white” set of steps to follow. A lot of context and concept is behind every search query, and many SEOs overlook this by thinking basic keyword research will solve all their problems. 

When it comes to semantics for paid campaigns, we’re talking about incorrect spelling, plurals, variants, synonyms, and other related words and phrases pertaining to the search word. 

If we understand what semantics is, we can understand how it impacts paid search. 

The goal of every advertiser on Google is to gain visibility for as many applicable keywords as possible. The problem is, no matter how much keyword research you put in on Ubersuggest, Ahrefs, and SEMrush, you’ll never find all the keywords that people in your target audience are searching. 

This is where semantics come in. 

Google uses semantics in broad and phrase search to help find a wider range of searches and triggers that will match user intent and display your ad. 

Exact Match Vs. Broad Match in Semantic Search

To understand semantics, it’s important to know the difference between exact and broad match in Google ads. An exact match requires the searcher to input the exact keyword you’ve chosen to display your ad on. 

For example, if you used the exact match “wedding cakes,” the person searching must enter some of the following keywords into Google to display your ad: 

  • wedding cakes
  • white wedding cakes
  • chocolate wedding cakes
  • cheap wedding cakes
  • and so on

These are exact match keywords because they contain the phrase exactly as-is. As a result, this type of advertising doesn’t use semantics because it doesn’t allow the flexibility necessary to locate related phrases with the same search intent. 

Here’s another example: If someone searches for “cakes for weddings” or “weding cakes,” your ad may not display because Google thinks it doesn’t match your intention. 

Even though the search intent is the same, you’re not using semantics in your advertising and may experience a higher CPC because you’re targeting a much narrower audience than necessary. 

Using Semantics for Paid Vs. Organic Search 

When it comes to organic search, many SEOs and site owners like to find every slight permutation of a keyword and include it somewhere in their content. At one time, this was the best strategy. 

However, with the RankBrain update, Google started to implement machine learning and AI to understand the search intent and context of the search rather than rewarding the people stacking as many exact match keywords into their content as possible. 

The goal is to make the process of finding information on Google as natural and conversational as possible. 

For example, if you asked a friend, “Who is the richest person in the world?” they might respond, Jeff Bezos. 

If you then asked, “Who has the most money in the world?” the answer would be the same, correct? 

This factor should apply to Google search as well. Just because two people ask the same question differently doesn’t mean they should receive two different sets of search results. The question has the same intent, and the query demands the same answer. 

If we apply this to organic search, it would tell us that we don’t need to worry so much about getting every single variation of the keyword because Google will identify the similarities and help us rank for all the keywords with the same intent. 

On a different note, Google’s machine learning is using your habits as a searcher too. After searching for the richest person in the world on Google, I searched “most money” to see what that would bring. 

The number-one result on Google was still relevant to my original search. Since I didn’t click through to anything, Google is still scrambling to find an answer to my query. 

Why Should You Use Semantics for Paid Search? 

Google released data that tells us how important semantics are for paid search. Approximately 15 percent of daily searches are new searches that they’ve never seen before. If those 15 percent of searches have never entered Google’s database before, how could anyone ever pick them up using keyword research or competitive analysis? 

You can’t. 

When it comes to long-tail keywords, the goal is to grab as many of those as possible. However, thousands and thousands of search phrases never hit the keyword research phase because they yield no traffic, and most people would never include a keyword with no traffic in their content. 

Unless Google does it for you. 

This factor has become ever prevalent with the rise of voice search as well. Voice commands are much more common today than they were when released in 2011. Twenty-seven percent of the population uses voice search on their phones. It’s also believed that 62 percent of individuals would make a purchase using voice technology on their smart home device.

We all know that people do not speak the way they search on Google. Semantics play a major role in Google’s ability to take a voice search and translate it into accurate results. 

3 Steps to Use Semantic Search for Paid Ads

What can you do to capitalize on semantics? By now, we see the importance of semantics for paid search, but what should you do to ensure you’re reaching as much of your audience as possible?

  1. Worry Less About Keywords for Semantics

    We should all worry less about creating content around keywords and instead create content around topics. 

    The goal is to cover a topic as in-depth as possible, and the keywords will come naturally.

    A lot of SEOs talk about “silos” and “clusters.” These two strategies help you build out content in a way that increases site relevancy and boosts authority. By doing this, you’re showing Google that you’re an expert on the subject, and it should give you precedence over your competition. 

  2. Focus More on Intent 

    I’m always preaching the importance of search intent, but this has become Google’s bread and butter. It makes it more difficult for SEOs to game the system by stacking a bunch of keywords in their content. 

    When choosing keywords for a paid search, you want to focus on the thought behind the keyword and target the intent. Think about the queries that lead people to your website.

    What are they trying to do when they come to your site? 

    Are people there to learn something? Purchase something? Inquire about something? Once you’ve determined that, you’ll want to find keywords matching that intent. 
    In this image, the keyword “best deals on iPhones” has a different search intent than “best iPhones,” pictured below. While they both contain a similar phrase, the person searching is trying to accomplish different things. 

    Someone searching for deals is already in buy mode; they want to buy an iPhone and are looking for good deals. 

    Someone searching for the best iPhones may not have settled on the phone yet. They want to research brands, quality, read reviews, and learn more before making a purchase.

    These two individuals are at different steps in the buying process. 

    Understanding this can help get more people to your site and may even decrease your bounce rate because they’ll get more of what they bargained for when they land. 

  3. Don’t Ignore User Experience When It Comes to Semantics

    With the release of Core Web Vitals, we know that Google is paying attention to the on-site experience. Factors such as loading speed, load delay, and page layout are important. 
    Focus is shifting away from advertisers and affiliates and turning to the users. Google doesn’t care about how well you understand SEO and how many hours you spent on keyword research. 

    All they care about is that people get what they want on your site. If you’re giving people what they want, Google will reward you. If you’re not, they’ll reward your competition.

    For many years, site owners pumped out sub-par keyword-loaded content built to rank but ignored the people searching for those keywords. That won’t cut it anymore. 
    Work on improving your page speed, optimizing your site for mobile, and pay attention to bounce rate and session duration. These are all indicators of whether or not you’re choosing the right keywords and targeting the right audience. 

    If you find that certain paid ad keywords have a higher bounce rate, it could mean you don’t have the right search intent. Semantic advertising isn’t all about verbiage; it’s also about relevancy. You could have the best offer in the world, but it won’t mean anything if your site doesn’t function properly.

Measuring the Success of Your Paid Search Campaign Using Semantics

How can you measure the success of semantic search in paid ads? The most important metric you’ll want to track is the success of individual broad-match keywords. By finding out which words Google’s AI is displaying your ad for, you can determine whether you should continue advertising for that broad-match keyword. 

For example, if you’re advertising a site that sells iPhone cases, and you find that your audience’s search intent doesn’t align with the phrases your ad is displaying for, you might want to readjust or target something different altogether. 

Two other metrics that can tell you a lot about the success of your campaign are the bounce rate and average time on page. If you’re targeting the right audience and bringing the right people onto your page, they’ll likely stay awhile.

If you have a 90 percent bounce rate and an average time on a page of less than a minute, chances are people are landing on your site, not liking what they see, and going somewhere else. 

This could be a sign of a deeper on-site issue, but for this example, you might want to make sure you’re sending the right people through. 

semantics for google analytics dashboard

You can use tools like Google Analytics or the Google Ad dashboard to explore this data. 

Conclusion 

Much of this article will be great news for many of you. It means you don’t have to lose your mind on hours of keyword research anymore. By using broad matches and focusing on intent, you could pick up all the relevant keywords without having to identify them manually. 

If you need a little more help, we can walk you through the steps necessary to get your campaign up and running. 

The paid ad space is constantly changing and adapting to the digital environment, and we all have to jump aboard and roll with the changes. If we don’t, we risk letting our competition get ahead while paying more per click and receiving lower-quality click-throughs. 

Be sure to keep semantics in mind as you set up your paid campaigns and really think about what the individual is trying to accomplish when they type a phrase into Google. 

How have you used semantics to narrow down on your target audience?

How to Write PPC Ad Copy Using AI

It’s no secret: the world of PPC advertising is not for the faint-hearted. If you don’t know what you’re doing, you could end up throwing money down the drain.

How can you increase the chances of the right people clicking on your ads? You need to learn how to write ad copy that converts.

Thankfully, technological advancements like artificial intelligence (AI) are here to save the day. AI tools can help you write ad copy that produces results.

How Can Artificial Intelligence Help Your PPC Campaigns?

Just so we’re on the same page, let’s quickly look at a simple definition of AI.

Artificial intelligence (AI) is a multidisciplinary branch of science that includes machine learning (ML), natural language processing (NLP), deep learning, and many other emerging technologies.

The main benefits of AI when it comes to creating compelling PPC ad copy include:

  • Unmatched data processing power
  • Ability to better “predict” click-through rates and quality scores
  • Identify bids that will get the most traffic
  • Saves you time managing campaigns

However, no matter how much data you have at your fingertips and how well you can identify lucrative bids, all that will be to no avail if your ad copy sucks.

AI can help you with that. I’ll show you how below.

6 Ways AI Can Help You Write Good PPC Ad Copy

Many tools can help you write ad copy. However, many AI-powered tools have one huge advantage: unlike their predecessors that relied on historical data, AI-powered tools give you real-time data. This process allows you to refine your copy to better suit the market situation when the content is created and published.

These are tips that will help optimize your ad copy, whether you’re advertising on Google, Bing, Facebook, or any other of the myriad platforms available.

Use AI for Audience Research

The very first thing you need to do before writing ad copy is to understand your target audience. The key to successful ad copy is to know not only who your target audience is, but also to know:

  • What they’re looking for
  • Why they’re looking for it

In short, understanding your audience will help you understand the intent behind your prospect’s search. Knowing this could help you write personalized ad copy that will resonate with your audience, eliciting a click through to your offer.

It will also help you create ads that are so targeted that only the right people will click on them. Additionally, it will help you write ad copy that addresses any objections your audience may have.

When you know how to write ad copy that speaks directly to your audience, you’ll likely enjoy a reduction in wasted clicks and an increase in your return on ad spend (ROAS).

How do you get to know your audience? This process is where AI shines best.

How to write PPC Ad Copy Using AI IBM Watson audience insight

AI-powered audience research tools like IBM’s Watson are great for helping you with predictive audiences. These consumers may not look anything alike but have some common threads that make them relevant targets for your PPC ads. By processing data from multiple sources, AI helps you understand the type of people you should target with your ads.

These insights help you significantly reduce the risk of ad waste, as your ad copy will be hyper-personalized, making it appealing to the right people. With ad spend steadily increasing across all industries, AI will help ensure that you get a good ROI from your campaigns.

Conduct Competitor Research Using AI

Before you put pen to paper, you must study the competitive environment.

You must conduct competitor research. This data will help you understand (among other things):

  • The type of ad copy that generates clicks
  • Ad formats that work best in your niche
  • Opportunities your competitors are missing that you can leverage

The data you get from your competitors’ ad campaigns is invaluable in helping you know how to write ad copy that will perform exceptionally well.

This process is where AI-powered competitor research tools like Adthena come to play.

how to write ad copy using the Adthena AI powered competitor analysis tool

By gaining insights into your competitors’ PPC activity and market shifts, you’ll be better armed to write compelling PPC ad copy.

The real-time data AI technologies provide may help you gain or keep a corner the market by ensuring you’re up-to-date with trends and news that affect your market audience. Real-time data is also essential when conducting competitor analysis, as any lag in time could result in the competition cornering the market.

Don’t delay to get on the AI bandwagon, especially when it comes to writing ad copy.

AI Can Help You Discover Keyword Opportunities

Everyone knows keywords are the foundation of every good PPC campaign. Unfortunately, with more businesses vying for the same target audience, relevant keyword opportunities are becoming harder to find.

AI can help.

With the competition for profitable keywords being uber-stiff, normal keyword research just doesn’t cut it anymore. You must leverage AI to help you uncover hidden keyword gems.  

This fact is especially true since keyword research for SEO and PPC is not the same. For PPC, your money rides or sinks on the keywords you use. That’s why you must find keywords that will give you a good return when you bid for them.

AI-powered tools like BrightEdge, for example, not only help you discover profitable keywords but are also able to give insight into the intent behind those keywords.

How to write ad copy using BrightEdges AI powered keyword intent tool

Because they offer real-time data, you are in a better position to write ad copy based on keyword opportunities as they arise. Of course, this will give you an edge over the competition, as your ads will have a better chance of being served to users while keeping your ad spend low.  

Headline Optimization Is Easy with AI

Saying that your headline is a critical part of your ad copy is an understatement. Its value can never be overstated because it’s your first chance to hook your customers.

If your headers are poorly crafted, users will just scroll past your ad. But if you write your headline well, it will stop them from scrolling so they look at the rest of your ad copy. AI can help you craft headlines that stop people in their tracks by helping you write headlines that result in much-coveted clicks.

A great example is Persado. The AI-powered copywriting tool helped Chase Bank increase the CTR on their ads by as much as 450%. How? By crafting headlines that resonate more with their target audience.

How to write ad copy using artificial intelligence

There are AI-powered tools that are designed to help you optimize your headers to elicit users to click on your ads.

The success of your ad campaigns rides on your headlines.

The next part users look at is the ad description.

Use AI to Nail Your Ad Description

Next to your headline, your ad description is the most crucial part of your ad copy. While the headline is the hook that grabs your prospect’s attention, your ad description is the sales pitch that gets them to click on your ad.

However, there’s a catch: you have a limited number of characters to use to convince your prospects to click-through to your offer. This means every character counts. It must help elicit a positive reaction from users. That’s why you must make sure you know how to write ad copy that drives clicks.

Fortunately, AI can help you write compelling ad copy.

With AI copywriting tools like Phrasee, you don’t have to guess what kind of copy works.

Discover how to write ad copy using Phrasees AI powered copywriting tool

Using machine learning and gathering data from different platforms, AI copywriting tools have “mastered” the art of writing great ad copy.

Using machine learning (ML), natural language generation (NLG), deep learning, and other technologies, AI-powered copywriting tools can help you create compelling ad copy that stands out from the crowd. AI takes into consideration many facets, such as language, semantics, sentence structure, and a whole lot more to help you create optimized ad copy at scale.

Another great AI-powered ad creation tool you can consider is CopyAI.

Use CopyAI to write PPC ad copy that converts

Copy AI is designed to take the grunt work out of brainstorming unique ad ideas. It will help you increase your ROAS by helping you come up with relevant audience-based copy that your customers won’t be able to resist. The deep learning platform that powers CopyAI can personalize your ad copy to suit any holiday, occasion, or campaign.

AI-powered copywriting tools are a great way to save time and money as they work faster and more efficiently. And at the end of the day, they’ll help you boost your bottom line.

Calls-to-Action: AI Can Help With That Too

Calls-to-action (CTAs) are a tricky part of writing ad copy. That’s because your CTA is usually made up of 2-5 words to inspire people to take action.

While platforms like Google and Facebook give you some CTA options to choose from as you create your campaigns, it’s always better to create your own CTAs. After all, if you use the options generated by search engines and social media platforms, you won’t stand out from the competition.

Your CTA plays a crucial role in pushing your prospects across the finish line. As such, give it careful consideration. You may get every other element of your ad copy correct, but if your CTA is weak, your hard work will be in vain.

What makes for a strong clickable CTA? One word: personalization.

Different audiences respond differently to CTAs. That’s why you must pay special attention to the language your audience uses and try as much as possible to implement it in your CTAs. This is one area where audience research pays off because it helps you craft personalized CTAs. Studies show that personalized CTAs perform up to 202% better than generic ones.

Note: make sure to create a different CTA for each campaign. Don’t just regurgitate past CTAs, even if they worked well in previous campaigns.

Yes, it may be a lot of work if you do it manually. That’s why you shouldn’t do it manually; use AI instead.

Again, tools like Persado make creating impactful CTAs easier.

how to write ppc ad copy using Persado tool

Leveraging data such as sentiment analysis (or emotion AI), AI-powered tools help you create CTAs that tug at your prospects’ heartstrings. Of course, every marketer knows that it is easier to loosen your prospects’ purse strings if you can do that.

By leveraging AI in crafting your CTAs, you increase your ad copy’s chances of achieving its goal of boosting your bottom line.

Conclusion

It’s impossible to ignore AI as a digital marketer. It’s everywhere around us. From AI SEO to AI in website design, every facet of digital marketing is becoming more efficient thanks to artificial intelligence.

As a marketer, if you’re looking to know how to write ad copy that converts, you must lean heavily on AI-powered tools to help you. From the planning stage to deployment, AI can help you optimize every part of your PPC ad campaigns.

Though remember: without good ad copy, your ad spend will be wasted. How do you write good ad copy? By using AI.

Sure, AI may not be able to handle the creative side of writing ad copy completely alone. However, it does go a long way in helping you create ad copy that sells.

Are you ready to embrace the power of AI in your ad copy creation?

The post How to Write PPC Ad Copy Using AI appeared first on Neil Patel.