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How AI-generated images can streamline your SEO game with DALL-E 2

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How AI-generated images can streamline your SEO game with DALLE-2

30-second summary:

  • SEOs are always on the lookout for innovative technology that can help them amplify content creation effectively
  • One such innovation that is on the cusp of being the next big thing in SEO and content creation is OpenAI’s DALL-E 2
  • What is it, how does it work, and how can SEOs use it (or at least start experimenting with it)?

Have you ever wanted to feel like Salvador Dali? Maybe even create a small cute robot that could look like WALL-E? Your dreams very well might come true with the recent development of the technology behind AI. If that sounds interesting, let’s dive a bit deeper into this topic. Let’s talk about DALL-E 2.

Ok Google, what does AI Do?

Artificial intelligence (AI) aims to create unique algorithms that can behave like people in specific situations – recognize human speech and various objects, write and read texts, and the like. This technology is already far ahead of human capabilities in many spheres involving data processing. Until recently, AI was encroaching mainly on the fields that are linked with technical tasks – predictive analytics, robotization, image, and speech recognition. Today AI surpasses people by 40 percent on trivia

But can AI also take on creative functions? It seems this is the last field to be mastered by neural networks. Art is a complicated combination of skill, creativity, and aesthetic taste, which all are very human elements. However, in April 2022, the OpenAI group proved otherwise by releasing a powerful text-to-image convertor, DALLE – 2, that can transform any text caption into a visual presentation that has never existed before. Its most winning feature is that the tool can precisely and logically convey relationships between objects it displays.

What is DALLE-2?

This neural network was created by OpenAI. Originally, it was GPT-2, a technology that could work with languages – answer questions, complete text, analyze content, and make conclusions. It was improved to GPT-3 – its capabilities expanded beyond textual information and enabled it to work with the images. 

Already in January 2021, this technology was followed by its new mind-blowing version that could build a connection between text and images. This neural network was called DALLE. The most remarkable thing is that it can come up not only with objects known to us but also produce completely new combinations, creating objects that do not exist in nature. In simple words, DALLE is a transformer consisting of the decoder, which processes a sequence of 1280 tokens. These are 256 text tokens and 1024 image part tokens. The algorithm treats image regions in the same way as words in a text and generates new images identically to how GPT-3 generates new text. In 2022, the project was scaled to DALLE-2. The improved version creates an image just from a text prompt.

How does DALLE-2 work?

It is not the first attempt to create a text-to-image generation system. However, the capabilities of DALLE-2 are much broader. This neural network can effectively link textual and visual abstractions and provide a true-to-life image. How does the system know how a particular object is interacting with the environment? The algorithm is quite difficult to be explained in detail. Still, roughly it consists of several stages and uses other OpenAI models – CLIP (Contrastive Language-Image Pre-training) and GLIDE (Guided Language-to-Image Diffusion for Generation and Editing).

  • Mapping the image description to its space presentation via the CLIP text encoder. CLIP is trained on hundreds of millions of images and their associated captions, figuring out how a particular piece of text relates to an image. The model does not predict the caption but learns how it is related to the image. This comparative approach allows establishing the relationship between textual and visual representations of the same abstract object. This stage is critical to the creation of images by the neural network.
  • Encoding the CLIP-learned image. The next task is to create the image, the details of which have been suggested by CLIP. Now, DALLE-2 uses a modified version of another OpenAI model, GLIDE, to create this image. It is based on a diffusion model – data is generated by reversing the process of gradual image noise. The learning process is supplemented with additional textual information, which ultimately leads to the creation of more accurate images. 

Based on the above, DALL-E 2 can generate semantically consistent images that naturally fit any object in the surrounding space.

DALLE-2 for SEO

The vast potential of AI image generation immediately attracted the attention of SEO specialists. They spend a lot of time finding appropriate pictures to support their text content. However, it becomes increasingly difficult to invent something that is not just copied and stitched together from the web. So DALLE-2 can become a great source of a never-ending flow of wholly unique and non-standard images. Interestingly, users will have exclusive rights to use the images they create, including for commercial use.

How it can help SEO

Nowadays, website and content promotion are not possible without attractive visuals. Images add more value to your SEO efforts – your site wins more user engagement and accessibility. But sourcing enough appropriate pictures has always been a headache. DALLE-2 can solve this task with ease. You just need to print a descriptive prompt of your future image, and AI will come up with a result. The text should not exceed 400 characters. But users should be ready to train a little to create explicit requests. It is highly advisable to study Prompt Book and master the basics to avoid weird results. You will learn the most valuable tips on how to get the most out of this fantastic image generator.

If you’d like to further automate your image creation process this tool will allow you to generate a prompt that can be used on DALLE-2.

Use cases (blog posts, product images, designs, digital art, thumbnails)

AI algorithms were already used in SEO before for naming objects on the images and creating descriptions for them based on data. With DALLE-2, this process is flipped around, and now you can generate images based on text prompts. No matter whether you are running an online blog or a store – you need lots of visuals to attract new customers and followers. And DALLE-2 can successfully be integrated into any project where you need image supplements –  create illustrations for your blog posts, product descriptions, design sketches, and much more. Moreover, you can further modify already created images. 

You can already see some successful use cases of DALLE-2. 

  • Blog thumbnail optimization. The Deephaven blog thumbnails have been replaced by images fully generated by DALLE-2. It took a couple of minutes and several prompts per image to get the desired result. However, it is a significant time saving compared to what would have been spent on the search for stock images. A nice bonus is that DALLE-2-generated images are fully unique and memorable.
  • Design development. DALLE-2 can become an efficient tool in the design field. And it looks like its capabilities are endless. For example, a picture of the existing garden was taken, and a rectangular swimming pool was applied to it via DALLE-2. It helps the client envision how it might look in reality.

For more use cases and live community discussions join r/dalle.

Currently, users are just experimenting with DALLE-2, but there is no doubt it will be soon actively applied in business, architecture, fashion, and other spheres.

Examples of DALL-E 2

DALL-E 2 is launched in beta version with a credit-based model open to 100,000 users. Another million applicants are waiting for approval to test this AI product. Some users have already shared their first experience with the converter, and the results are impressive. DALL-E 2 processes the craziest requests and offers its interpretation. Here are a few examples:

Prompt #1

A sad beaver in the sweater sitting in front of the screen and thinking about apples.

Examples of AI-generated images can streamline your SEO game with DALLE-2 - Sad beaver

Source: Twitter

Prompt #2

A charcuterie board floating in a pool on the Amalfi coast.

Examples of AI-generated images can streamline your SEO game with DALLE-2 - Amalfi coast
Source: Twitter

Prompt #3

Source: Twitter

Prompt #4

A person in the space suit walking on Mars near the creator with dried-out grass and remnants of the Voyager.

Examples of AI-generated images can streamline your SEO game with DALLE-2 - Space man
Prompt:A person in the space suit walking on Mars near the creator with dried-out grass and remnants of the Voyager

Source: LinkedIn

Prompt #5

A Ukrainian on the field harvesting crops.

Source: Twitter

Conclusion

DALL-E 2 is a revolutionary text-to-image converter today. It will help you instantly generate a variety of unique images with only a short text prompt in failry shorter time spans than you would spend on photo stock sites. This technology is an absolute game changer and can rearrange a lot of things in SEO in the coming years. Yet, more live testing is still needed to benefit from DALL-E 2 to the fullest.


Dima Makei is Head of SEO at Omnicom Media Group. He is also passionate about teaching and has previously served as a Marketing Professor at Seneca College. Find him on Twitter @dima_makei.

Subscribe to the Search Engine Watch newsletter for insights on SEO, the search landscape, search marketing, digital marketing, leadership, podcasts, and more.

Join the conversation with us on LinkedIn and Twitter.

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Google Dials Back AI Overviews In Search Results, Study Finds

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Photo of a mobile device in mans hand with generative google AI Overview on the screen.

According to new research, Google’s AI-generated overviews have undergone significant adjustments since the initial rollout.

The study from SE Ranking analyzed 100,000 keywords and found Google has greatly reduced the frequency of AI overviews.

However, when they appear, they’re more detailed than they were previously.

The study digs into which topics and industries are more likely to get an AI overview. It also looks at how the AI snippets interact with other search features like featured snippets and ads.

Here’s an overview of the findings and what they mean for your SEO efforts.

Declining Frequency Of AI Overviews

In contrast to pre-rollout figures, 8% of the examined searches now trigger an AI Overview.

This represents a 52% drop compared to January levels.

Yevheniia Khromova, the study’s author, believes this means Google is taking a more measured approach, stating:

“The sharp decrease in AI Overview presence likely reflects Google’s efforts to boost the accuracy and trustworthiness of AI-generated answers.”

Longer AI Overviews

Although the frequency of AI overviews has decreased, the ones that do appear provide more detailed information.

The average length of the text has grown by nearly 25% to around 4,342 characters.

In another notable change, AI overviews now link to fewer sources on average – usually just four links after expanding the snippet.

However, 84% still include at least one domain from that query’s top 10 organic search results.

Niche Dynamics & Ranking Factors

The chances of getting an AI overview vary across different industries.

Searches related to relationships, food and beverages, and technology were most likely to trigger AI overviews.

Sensitive areas like healthcare, legal, and news had a low rate of showing AI summaries, less than 1%.

Longer search queries with ten words were more likely to generate an AI overview, with a 19% rate indicating that AI summaries are more useful for complex information needs.

Search terms with lower search volumes and lower cost-per-click were more likely to display AI summaries.

Other Characteristics Of AI Overviews

The research reveals that 45% of AI overviews appear alongside featured snippets, often sourced from the exact domains.

Around 87% of AI overviews now coexist with ads, compared to 73% previously, a statistic that could increase competition for advertising space.

What Does This Mean?

SE Ranking’s research on AI overviews has several implications:

  1. Reduced Risk Of Traffic Losses: Fewer searches trigger AI Overviews that directly answer queries, making organic listings less likely to be demoted or receive less traffic.
  2. Most Impacted Niches: AI overviews appear more in relationships, food, and technology niches. Publishers in these sectors should pay closer attention to Google’s AI overview strategy.
  3. Long-form & In-Depth Content Essential: As AI snippets become longer, companies may need to create more comprehensive content beyond what the overviews cover.

Looking Ahead

While the number of AI overviews has decreased recently, we can’t assume this trend will continue.

AI overviews will undoubtedly continue to transform over time.

It’s crucial to monitor developments closely, try different methods of dealing with them, and adjust game plans as needed.


Featured Image: DIA TV/Shutterstock

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10 Tips on How to Rock a Small PPC Budget

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10 Tips on How to Rock a Small PPC Budget

Many advertisers have a tight budget for pay-per-click (PPC) advertising, making it challenging to maximize results.

One of the first questions that often looms large is, “How much should we spend?” It’s a pivotal question, one that sets the stage for the entire PPC strategy.

Read on for tips to get started or further optimize budgets for your PPC program to maximize every dollar spent.

1. Set Expectations For The Account

With a smaller budget, managing expectations for the size and scope of the account will allow you to keep focus.

A very common question is: How much should our company spend on PPC?

To start, you must balance your company’s PPC budget with the cost, volume, and competition of keyword searches in your industry.

You’ll also want to implement a well-balanced PPC strategy with display and video formats to engage consumers.

First, determine your daily budget. For example, if the monthly budget is $2,000, the daily budget would be set at $66 per day for the entire account.

The daily budget will also determine how many campaigns you can run at the same time in the account because that $66 will be divided up among all campaigns.

Be aware that Google Ads and Microsoft Ads may occasionally exceed the daily budget to maximize results. The overall monthly budget, however, should not exceed the Daily x Number of Days in the Month.

Now that we know our daily budget, we can focus on prioritizing our goals.

2. Prioritize Goals

Advertisers often have multiple goals per account. A limited budget will also limit the number of campaigns – and the number of goals – you should focus on.

Some common goals include:

  • Brand awareness.
  • Leads.
  • Sales.
  • Repeat sales.

In the example below, the advertiser uses a small budget to promote a scholarship program.

They are using a combination of leads (search campaign) and awareness (display campaign) to divide up a daily budget of $82.

Screenshot from author, May 2024

The next several features can help you laser-focus campaigns to allocate your budget to where you need it most.

Remember, these settings will restrict traffic to the campaign. If you aren’t getting enough traffic, loosen up/expand the settings.

3. Location Targeting

Location targeting is a core consideration in reaching the right audience and helps manage a small ad budget.

To maximize a limited budget, you should focus on only the essential target locations where your customers are located.

While that seems obvious, you should also consider how to refine that to direct the limited budget to core locations. For example:

  • You can refine location targeting by states, cities, ZIP codes, or even a radius around your business.
  • Choosing locations to target should be focused on results.
  • The smaller the geographic area, the less traffic you will get, so balance relevance with budget.
  • Consider adding negative locations where you do not do business to prevent irrelevant clicks that use up precious budget.

If the reporting reveals targeted locations where campaigns are ineffective, consider removing targeting to those areas. You can also try a location bid modifier to reduce ad serving in those areas.

managing ppc budget by location interactionScreenshot by author from Google Ads, May 2024

4. Ad Scheduling

Ad scheduling also helps to control budget by only running ads on certain days and at certain hours of the day.

With a smaller budget, it can help to limit ads to serve only during hours of business operation. You can choose to expand that a bit to accommodate time zones and for searchers doing research outside of business hours.

If you sell online, you are always open, but review reporting for hourly results over time to determine if there are hours of the day with a negative return on investment (ROI).

Limit running PPC ads if the reporting reveals hours of the day when campaigns are ineffective.

Manage a small ppc budget by hour of dayScreenshot by author from Google Ads, May 2024

5. Set Negative Keywords

A well-planned negative keyword list is a golden tactic for controlling budgets.

The purpose is to prevent your ad from showing on keyword searches and websites that are not a good match for your business.

  • Generate negative keywords proactively by brainstorming keyword concepts that may trigger ads erroneously.
  • Review query reports to find irrelevant searches that have already led to clicks.
  • Create lists and apply to the campaign.
  • Repeat on a regular basis because ad trends are always evolving!

6. Smart Bidding

Smart Bidding is a game-changer for efficient ad campaigns. Powered by Google AI, it automatically adjusts bids to serve ads to the right audience within budget.

The AI optimizes the bid for each auction, ideally maximizing conversions while staying within your budget constraints.

Smart bidding strategies available include:

  • Maximize Conversions: Automatically adjust bids to generate as many conversions as possible for the budget.
  • Target Return on Ad Spend (ROAS): This method predicts the value of potential conversions and adjusts bids in real time to maximize return.
  • Target Cost Per Action (CPA): Advertisers set a target cost-per-action (CPA), and Google optimizes bids to get the most conversions within budget and the desired cost per action.

7. Try Display Only Campaigns

display ads for small ppc budgetsScreenshot by author from Google Ads, May 2024

For branding and awareness, a display campaign can expand your reach to a wider audience affordably.

Audience targeting is an art in itself, so review the best options for your budget, including topics, placements, demographics, and more.

Remarketing to your website visitors is a smart targeting strategy to include in your display campaigns to re-engage your audience based on their behavior on your website.

Let your ad performance reporting by placements, audiences, and more guide your optimizations toward the best fit for your business.

audience targeting options for small ppc budgetScreenshot by Lisa Raehsler from Google Ads, May 2024

8. Performance Max Campaigns

Performance Max (PMax) campaigns are available in Google Ads and Microsoft Ads.

In short, automation is used to maximize conversion results by serving ads across channels and with automated ad formats.

This campaign type can be useful for limited budgets in that it uses AI to create assets, select channels, and audiences in a single campaign rather than you dividing the budget among multiple campaign types.

Since the success of the PMax campaign depends on the use of conversion data, that data will need to be available and reliable.

9. Target Less Competitive Keywords

Some keywords can have very high cost-per-click (CPC) in a competitive market. Research keywords to compete effectively on a smaller budget.

Use your analytics account to discover organic searches leading to your website, Google autocomplete, and tools like Google Keyword Planner in the Google Ads account to compare and get estimates.

In this example, a keyword such as “business accounting software” potentially has a lower CPC but also lower volume.

Ideally, you would test both keywords to see how they perform in a live campaign scenario.

comparing keywords for small ppc budgetsScreenshot by author from Google Ads, May 2024

10. Manage Costly Keywords

High volume and competitive keywords can get expensive and put a real dent in the budget.

In addition to the tip above, if the keyword is a high volume/high cost, consider restructuring these keywords into their own campaign to monitor and possibly set more restrictive targeting and budget.

Levers that can impact costs on this include experimenting with match types and any of the tips in this article. Explore the opportunity to write more relevant ad copy to these costly keywords to improve quality.

Every Click Counts

As you navigate these strategies, you will see that managing a PPC account with a limited budget isn’t just about monetary constraints.

Rocking your small PPC budgets involves strategic campaign management, data-driven decisions, and ongoing optimizations.

In the dynamic landscape of paid search advertising, every click counts, and with the right approach, every click can translate into meaningful results.

More resources: 


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What Are They Really Costing You?

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What Are They Really Costing You?

This post was sponsored by Adpulse. The opinions expressed in this article are the sponsor’s own.

As managers of paid media, one question drives us all: “How do I improve paid ad performance?”. 

Given that our study found close variant search terms perform poorly, yet more than half of the average budget on Google & Microsoft Ads is being spent on them, managing their impact effectively could well be one of your largest optimization levers toward driving significant improvements in ROI. 

“Close variants help you connect with people who are looking for your business, despite slight variations in the way they search.” support.google.com

Promising idea…but what about the execution?

We analyzed over 4.5 million clicks and 400,000 conversions to answer this question: With the rise in close variants (intent matching) search terms, what impact are they having on budgets and account performance? Spoiler alert, the impact is substantial. 


True Match Vs. Close Variants: How Do They Perform?

To understand close variant (CV) performance, we must first define the difference between a true match and a close variant. 

 

What Is a True Match? 

We still remember the good-old-days where keyword match types gave you control over the search terms they triggered, so for this study we used the literal match types to define ‘close variant’ vs ‘true match’. 

  • Exact match keyword => search term matches the keyword exactly. 
  • Phrase match keyword => search term must contain the keyword (same word order).
  • Broad match keyword => search term must contain every individual word in the keyword, but the word order does not matter (the way modified broad match keywords used to work).   

 

What Is a Close Variant? 

If you’re not familiar with close variants (intent matching) search terms, think of them as search terms that are ‘fuzzy matched’ to the keywords you are actually bidding on. 

Some of these close variants are highly relevant and represent a real opportunity to expand your keywords in a positive way. 

Some are close-ish, but the conversions are expensive. 

And (no shocks here) some are truly wasteful. 

….Both Google and Microsoft Ads do this, and you can’t opt-out.

To give an example: if you were a music therapist, you might bid on the phrase match keyword “music therapist”. An example of a true match search term would be ‘music therapist near me’ because it contains the keyword in its true form (phrase match in this case) and a CV might be ‘music and art therapy’.


How Do Close Variants Compare to True Match?

Short answer… poorly, on both Google and Microsoft Ads. Interestingly however, Google showed the worst performance on both metrics assessed, CPA and ROAS. 

Image created by Adpulse, May 2024

1718772963 395 What Are They Really Costing You

Image created by Adpulse, May 2024

Want to see the data – jump to it here…

CVs have been embraced by both platforms with (as earlier stated), on average more than half of your budget being spent on CV variant matches. That’s a lot of expansion to reach searches you’re not directly bidding for, so it’s clearly a major driver of performance in your account and, therefore, deserving of your attention. 

We anticipated a difference in metrics between CVs and true match search terms, since the true match search terms directly align with the keywords you’re bidding on, derived from your intimate knowledge of the business offering. 

True match conversions should therefore be the low-hanging fruit, leaving the rest for the platforms to find via CVs. Depending on the cost and ROI, this isn’t inherently bad, but logically we would assume CVs would perform worse than true matches, which is exactly what we observed. 


How Can You Limit Wastage on Close Variants?

You can’t opt out of them, however, if your goal is to manage their impact on performance, you can use these three steps to move the needle in the right direction. And of course, if you’re relying on CVs to boost volume, you’ll need to take more of a ‘quality-screening’ rather than a hard-line ‘everything-must-go’ approach to your CV clean out!

 

Step 1: Diagnose Your CV Problem 

We’re a helpful bunch at Adpulse so while we were scoping our in-app solution, we built a simple spreadsheet that you can use to diagnose how healthy your CVs are. Just make a copy, paste in your keyword and search term data then run the analysis for yourself. Then you can start to clean up any wayward CVs identified. Of course, by virtue of technology, it’s both faster and more advanced in the Adpulse Close Variant Manager 😉.

 

Step 2: Suggested Campaign Structures for Easier CV Management  

Brand Campaigns

If you don’t want competitors or general searches being matched to your brand keywords, this strategy will solve for that. 

Set up one ad group with your exact brand keyword/s, and another ad group with phrase brand keyword/s, then employ the negative keyword strategies in Step 3 below. You might be surprised at how many CVs have nothing to do with your brand, and identifying variants (and adding negative keywords) becomes easy with this structure.

Don’t forget to add your phrase match brand negatives to non-brand campaigns (we love negative lists for this).

Non-Brand Campaigns with Larger Budgets

We suggest a campaign structure with one ad group per match type:

Example Ad Groups:

    • General Plumbers – Exact
    • General Plumbers – Phrase
    • General Plumbers – Broad
    • Emergency Plumbers – Exact
    • Emergency Plumbers – Phrase
    • Emergency Plumbers – Broad

This allows you to more easily identify variants so you can eliminate them quickly. This also allows you to find new keyword themes based on good quality CVs, and add them easily to the campaign. 

Non-Brand Campaigns with Smaller Budgets

Smaller budgets mean the upside of having more data per ad group outweighs the upside of making it easier to trim unwanted CVs, so go for a simpler theme-based ad group structure:

Example Ad Groups:

    • General Plumbers
    • Emergency Plumbers

 

Step 3: Ongoing Actions to Tame Close Variants

Adding great CVs as keywords and poor CVs as negatives on a regular basis is the only way to control their impact.

For exact match ad groups we suggest adding mainly root negative keywords. For example, if you were bidding on [buy mens walking shoes] and a CV appeared for ‘mens joggers’, you could add the single word “joggers” as a phrase/broad match negative keyword, which would prevent all future searches that contain joggers. If you added mens joggers as a negative keyword, other searches that contain the word joggers would still be eligible to trigger. 

In ad groups that contain phrase or broad match keywords you shouldn’t use root negatives unless you’re REALLY sure that the root negative should never appear in any search term. You’ll probably find that you use the whole search term added as an exact match negative much more often than using root negs.


The Proof: What (and Why) We Analyzed

We know CVs are part of the conversations marketers frequently have, and by virtue of the number of conversations we have with agencies each week, we’ve witnessed the increase of CV driven frustration amongst marketers. 

Internally we reached a tipping point and decided to data dive to see if it just felt like a large problem, or if it actually IS a large enough problem that we should devote resources to solving it in-app. First stop…data. 

Our study of CV performance started with thousands of Google and Microsoft Ads accounts, using last 30-day data to May 2024, filtered to exclude:

  • Shopping or DSA campaigns/Ad Groups.
  • Accounts with less than 10 conversions.
  • Accounts with a conversion rate above 50%.
  • For ROAS comparisons, any accounts with a ROAS below 200% or above 2500%.

Search terms in the study are therefore from keyword-based search campaigns where those accounts appear to have a reliable conversion tracking setup and have enough conversion data to be individually meaningful.

The cleaned data set comprised over 4.5 million clicks and 400,000 conversions (over 30 days) across Google and Microsoft Ads; a large enough data set to answer questions about CV performance with confidence.

Interestingly, each platform appears to have a different driver for their lower CV performance. 

CPA Results:

Google Ads was able to maintain its conversion rate, but it chased more expensive clicks to achieve it…in fact, clicks at almost double the average CPC of true match! Result: their CPA of CVs worked out roughly double the CPA of true match.                 

Microsoft Ads only saw slightly poorer CPA performance within CVs; their conversion rate was much lower compared to true match, but their saving grace was that they had significantly lower CPCs, and you can afford to have a lower conversion rate if your click costs are also lower. End outcome? Microsoft Ads CPA on CVs was only slightly more expensive when compared to their CPA on true matches; a pleasant surprise 🙂.

What Are They Really Costing You

Image created by Adpulse, May 2024

ROAS Results:

Both platforms showed a similar story; CVs delivered roughly half the ROAS of their true match cousins, with Microsoft Ads again being stronger overall. 

 

1718772963 395 What Are They Really Costing You

Image created by Adpulse, May 2024

Underlying Data:

For the data nerds amongst us (at Adpulse we self-identify here !) 

1718772963 88 What Are They Really Costing You

Image created by Adpulse, May 2024


TL;DR

Close variant search terms consume, on average, more than half an advertiser’s budget whilst in most cases, performing significantly worse than search terms that actually match the keywords. How much worse? Read above for details ^. Enough that managing their impact effectively could well be one of your largest optimization levers toward driving significant improvements in account ROI. 


Image Credits

Featured Image: Image by Adpulse. Used with permission.

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