SEO
How To Create B2B Google Ad Campaigns That Convert

In a world of multi-channel marketing for B2B, narrowing down a specific space where your leads are generated takes time.
Many B2B marketers turn to Google Ads because it has the potential for a quick return on investment (ROI).
But for that scenario to happen, youβve got to have the right strategy and tactics in place.
Lucky for you, this article will take you from, βI donβt know where to focus my time & budget,β to βIβm managing my Google Ads budget & collecting B2B leads like a boss.β
In fact, Google Ads is among the top most effective paid channels because you can understand the level of βpurchase intentβ based on the type of keyword used.
So, when you target keywords across multiple intent stages within the sales funnel, creating B2B Google Ads campaigns enables you to efficiently nurture leads toward conversion.
With this in mind, mastering the art of B2B Google Ads campaigns can skyrocket your companyβs growth and help you develop a bulletproof, long-term marketing strategy.
So, if youβve been pondering the question:
βDo Google Ads work for B2B and how can I get the most bang for my buck?β
This article will answer this and set you up for sustainable future success.
Why Use Google Ads Campaigns For Your B2B Lead Generation Efforts
Many ask, βWhy should I pay when I can generate leads for free?β
Great question.
First off, letβs start with the fact that no leads come for free. No matter whether you do SEO, social media marketing, or paid advertising, thereβs no such thing as free lunch.
All marketing channels have their pros and cons, but Google Ads, in particular, are useful because they:
- Give you the power to control your growth pace based on ad spend and campaigns used.
- Are often quicker to launch because you can start with one landing page.
- Enable you to drive traffic to content based on βhigh purchase intentβ keywords, i.e., search phrases that describe the product or service youβre selling.
In fact, the average B2B Google Ads campaign conversion rate is 3.75%, so if you target high purchase intent keywords, youβll generate high-quality leads that have a strong chance of becoming customers.
Ready to jump on the Google Ads bandwagon successfully?
Letβs go over how to run a B2B Google Ads campaign based on purchase intent stages within the sales funnel.
How To Run Successful B2B Google Ads Campaigns Based On Sales Funnel Stages
A sales funnel typically consists of three main categories:
- The top of the funnel (TOFU): People who are in an awareness stage in their buying cycle, meaning theyβre just becoming aware they have a problem and need to find a solution.
- The middle of the funnel (MOFU): People who are interested or considering buying, and are making comparisons and researching further about the best solution for their specific needs.
- The bottom of the funnel (BOFU): People who are nearly ready to make a purchase and have decided to initiate contact with companies who might be able to help them.
The idea is to craft your B2B Google Ads campaign based on each specific category, using keywords that relate to those corresponding categories.
By doing this, youβll be able to craft better copy geared towards audiences at the βtop of the funnelβ compared to those at the βbottom of the funnel,β which will help your campaigns to convert better.
Now that youβve got the idea, letβs dive into some concrete keyword and campaign examples per funnel stage.
Top Of Funnel
In the TOFU stage, some keywords that might be relevant here are:
- βwhat is x.β
- βx definitionβ β because theyβre just trying to understand the basics of a certain concept.
Because your audience is ready to soak up all the information, informational long-form content is especially important for them.
Your audience might be aware your brand exists, but not aware of everything you have to offer. Theyβre a beginner when it comes to the solution you provide, so there shouldnβt be any pushy sales copy here.
Your audience is just warming up to you and they donβt want to be spammed.
When it comes to your bid strategy, you have two options:
- Option 1: Use ECPC (enhanced CPC), which is not entirely automated bidding, but it does allow you to have more control over your budget.
- Option 2: Targeting impression share works well if your objective is brand awareness and reach because you can set a percentage for your impression share against other bidders.
For your retargeting strategy, itβs a good idea to set up an audience on Google to collect visitor information to the page you send users.
Depending on the traffic amount (1,000 or more visitors are needed before you can retarget), we can use this audience for retargeting our MOFU campaign.
You also need to set the goal type.
Your first campaign should not be a hard sell, as here, you need to focus on generating demand for your product or service.
Naturally, there may be an influx of new users (but hardly any conversions), so youβll want to ensure your campaign objective offers a high-value and low-friction micro conversion, such as getting someone to read an informational content piece.
Depending on the volume of users, you should look at setting up a micro-conversion for page engagement.
Below is an example of a TOFU B2B Google Ads campaign in action targeting the keyword βwhat is an ai chatbot.β

The ad introduces the brand and answers the keyword in question. Clicking through to the landing page, weβre not introduced to a hard sell, but instead are given a βcomplimentary guideβ to learn more about this specific AI Chatbot.
There is no mention of pricing, or the specific product here. It matches the user search intent by providing the user with exactly what they requested.
The bonus is it also allows the business to collect email addresses, which can then be sent email nurturing campaigns later on.
Middle Of Funnel
Your MOFU audience members are those who know your product or service exists and have done some research on potential solutions.
They might even already be considering you as an option, but need to know exactly how you can help, and why youβre a better choice than your competitors. Their decision is also likely heavily influenced by third-party opinions of your brand.
In this case, your Google Ads campaign could promote the following:
- Technical βhow-to guides.β
- Product comparison.
Your audience likely has a foundational understanding of the topic or industry, but theyβre still looking to improve their knowledge and identify the best solution for them.
Cue offer messaging here! Your people are getting ready for an information-based soft sell.
For your bid strategy, it would be a good idea to use the following:
Unlike ECPC, Maximize Clicks is an automated bidding strategy where Google sets the bids for you, to get the most conversions for your campaign while spending your daily budget.
Once youβre ready to retarget, hereβs a possible approach:
Take a look at your previous audience setup for users clicking through from your TOFU campaign and your general website visitors. Itβs worthwhile to add this audience as an observation on this campaign.


You can increase bids for users who have already interacted with your brand, which ensures your ads are in a higher position and keeps brand awareness at the forefront.
Again, using audiences from this page and adding bid targeting to your BOFU campaign is a good idea.
For your MOFU goal type, youβll need to offer more information to help your audience decide β but at this stage, youβll want to get into the nitty-gritty details.
Although users might be somewhat unaware of your brand, they have a good sense of the product or service they want, as they are now fully in their research phase to find the most suitable product or service to fulfill their needs.
The goal here can be offering downloadable guides and product comparisons while also still using micro-conversions, such as tracking a conversion for every download.
To give you a better idea, letβs take a quick look at a MOFU B2B Google Ads campaign example targeting the keyword βhow to set up an ai chatbot.β


With this ad example, the user has likely done enough research to start looking at ways to install a chatbot, which the ad answers exactly that question with the ad copy.
Furthermore, we can see that, similar to TOFU, there isnβt a hard sell on this page, as the user intent isnβt yet to purchase their product. Instead, they have offered a free ebook in exchange for contact details.
Bottom Of Funnel
BOFU is where the magic happens: lead generation conversions. Your audience is ready to buy and needs one more push to click that purchase, book a demo, or contact us button.
Relevant keywords here might be:
- x service.
- x tool.
- x platform.
At this stage, youβll want to whip out your conversion-based landing pages and ask for the sale because:
- Your audience here is strongly aware of your brand.
- Theyβre considering making a purchase and have a decent understanding of your solution.
For your bid strategy, consider using Maximize Conversions, as users are nearly at the end of their decision-making and are more inclined to get in touch with you.
When youβre ready to retarget, enable retargeting for all users who visit this page but donβt convert. You can also retarget users using display campaigns on Google or other similar platforms, such as AdRoll.
It would be worth considering setting up retargeting on other platforms, such as LinkedIn and Facebook, too.
Because this campaign has the highest intent for the users in the purchase cycle, a high-converting landing page is recommended here that offers all of the above information and more.
This is your chance to offer lead forms and get in touch with forms that include calls to action (CTAs) at the top and at easily accessible points throughout the page.
To give an example, check out this Bofu B2B Google Ads campaign for the keyword βai chatbot for customer service.β


From the above BOFU keyword, we can now be sure the user knows exactly what they need β itβs now just picking the perfect solution for them.
By understanding the specific use case, the ads have been tailored for each scenario, increasing CTR. It also lists relevant site link assets (AKA extensions) that the user will also find useful, such as pricing and demo.
Secondly, the landing page used here is a high conversion page in that it offers relevant CTAβs throughout the page, uses trust-building messages, contact CTAs, and, more importantly, it highlights the productβs value.
Implement The Right Google Ads Strategy To Generate High-Quality B2B Leads
Overall, Google Ads is incredibly effective for B2B businesses because itβs a great starting point for long-term growth.
Not only can you retarget across other channels, but you also have the ability to target keywords based on level purchase intent within the sales funnel.
Now that youβre a pro at B2B Google Ads campaigns, youβll be able to spend smart and optimize effectively!
More research:
Featured Image: VectorMine/Shutterstock
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SEO
4 Ways To Try The New Model From Mistral AI

In a significant leap in large language model (LLM) development, Mistral AI announced the release of its newest model, Mixtral-8x7B.
magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce
RELEASE a6bbd9affe0c2725c1b7410d66833e24
β Mistral AI (@MistralAI) December 8, 2023
What Is Mixtral-8x7B?
Mixtral-8x7B from Mistral AI is a Mixture of Experts (MoE) model designed to enhance how machines understand and generate text.
Imagine it as a team of specialized experts, each skilled in a different area, working together to handle various types of information and tasks.
A report published in June reportedly shed light on the intricacies of OpenAIβs GPT-4, highlighting that it employs a similar approach to MoE, utilizing 16 experts, each with around 111 billion parameters, and routes two experts per forward pass to optimize costs.
This approach allows the model to manage diverse and complex data efficiently, making it helpful in creating content, engaging in conversations, or translating languages.
Mixtral-8x7B Performance Metrics
Mistral AIβs new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.
Itβs designed to understand better and create text, a key feature for anyone looking to use AI for writing or communication tasks.
New open weights LLM from @MistralAI
params.json:
β hidden_dim / dim = 14336/4096 => 3.5X MLP expand
β n_heads / n_kv_heads = 32/8 => 4X multiquery
β “moe” => mixture of experts 8X top 2 πLikely related code: https://t.co/yrqRtYhxKR
Oddly absent: an over-rehearsed⦠https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh
β Andrej Karpathy (@karpathy) December 8, 2023
This latest addition to the Mistral family promises to revolutionize the AI landscape with its enhanced performance metrics, as shared by OpenCompass.
What makes Mixtral-8x7B stand out is not just its improvement over Mistral AIβs previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.
Itβs like having an assistant who can understand complex ideas and express them clearly.
One of the key strengths of the Mixtral-8x7B is its ability to handle specialized tasks.
For example, it performed exceptionally well in specific tests designed to evaluate AI models, indicating that itβs good at general text understanding and generation and excels in more niche areas.
This makes it a valuable tool for marketing professionals and SEO experts who need AI that can adapt to different content and technical requirements.
The Mixtral-8x7Bβs ability to deal with complex math and coding problems also suggests it can be a helpful ally for those working in more technical aspects of SEO, where understanding and solving algorithmic challenges are crucial.
This new model could become a versatile and intelligent partner for a wide range of digital content and strategy needs.
How To Try Mixtral-8x7B: 4 Demos
You can experiment with Mistral AIβs new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAIβs GPT-4.
Please note that, like all generative AI content, platforms running this new model may produce inaccurate information or otherwise unintended results.
User feedback for new models like this one will help companies like Mistral AI improve future versions and models.
1. Perplexity Labs Playground
In Perplexity Labs, you can try Mixtral-8x7B along with Meta AIβs Llama 2, Mistral-7b, and Perplexityβs new online LLMs.
In this example, I ask about the model itself and notice that new instructions are added after the initial response to extend the generated content about my query.


While the answer looks correct, it begins to repeat itself.


The model did provide an over 600-word answer to the question, βWhat is SEO?β
Again, additional instructions appear as βheadersβ to seemingly ensure a comprehensive answer.


2. Poe
Poe hosts bots for popular LLMs, including OpenAIβs GPT-4 and DALLΒ·E 3, Meta AIβs Llama 2 and Code Llama, Googleβs PaLM 2, Anthropicβs Claude-instant and Claude 2, and StableDiffusionXL.
These bots cover a wide spectrum of capabilities, including text, image, and code generation.
The Mixtral-8x7B-Chat bot is operated by Fireworks AI.


Itβs worth noting that the Fireworks page specifies it is an βunofficial implementationβ that was fine-tuned for chat.
When asked what the best backlinks for SEO are, it provided a valid answer.


Compare this to the response offered by Google Bard.


3. Vercel
Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.


It offers an interesting perspective on how each model interprets and responds to user questions.


Like many LLMs, it does occasionally hallucinate.


4. Replicate
The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that βInference is quite inefficient.β


In the example above, Mixtral-8x7B describes itself as a game.
Conclusion
Mistral AIβs latest release sets a new benchmark in the AI field, offering enhanced performance and versatility. But like many LLMs, it can provide inaccurate and unexpected answers.
As AI continues to evolve, models like the Mixtral-8x7B could become integral in shaping advanced AI tools for marketing and business.
Featured image: T. Schneider/Shutterstock
SEO
OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the βlazyβ performance of GPT-4 on social media and Google Reviews.

This move comes after growing user feedback online, which even includes a one-star review on the companyβs Google Reviews.
OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing
OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.


The organization highlighted that the process is not a βclean industrial processβ and that variations in training runs can lead to noticeable differences in the AIβs personality, creative style, and political bias.
Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the βrealβ user experience.
OpenAIβs Google Review Score Affected By GPT-4 Performance, Billing Issues
This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.
Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.
I know it’s in preview right now but it’s significantly worse.
β Max Weinbach (@MaxWinebach) November 8, 2023
There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.
I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq
β Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAIβs community forums.


The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.


A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.


GPT-4 isnβt the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.
OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!
GPT-4βs degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
β Nate Chan (@nathanwchan) December 9, 2023
The complaint:


In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a βCutthroat environment. Not friendly. Toxic workers.β


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the companyβs shift in focus on profits.


This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.


Google SGE Highlights Positive Google Reviews
In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAIβs technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAIβs recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technologyβs dynamic and evolving nature and its impact on those who depend on the AI platform.
Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.
As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the publicβs reception of these advancements.
Featured image: Tada Images/Shutterstock
SEO
ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

ChatGPT Plus subscriptions and upgrades remain paused after a surge in demand for new features created outages.
Some users who signed up for the waitlist have received invites to join ChatGPT Plus.

This has resulted in a few shares of the link that is accessible for everyone. For now.
Found a hack to skip chatGPT plus wait list.
Follow the steps
β login to ChatGPT
β now if you click on upgrade
β Signup for waitlist(may not be necessary)
β now change the URL to https://t.co/4izOdNzarG
β Wallah you are in for payment #ChatGPT4 #hack #GPT4 #GPTPlus pic.twitter.com/J1GizlrOAxβ Ashish Mohite is building Notionpack Capture (@_ashishmohite) December 8, 2023
RELATED: GPT Store Set To Launch In 2024 After βUnexpectedβ Delays
In addition to the invites, signs that more people are getting access to GPTs include an introductory screen popping up on free ChatGPT accounts.


Unfortunately, they still arenβt accessible without a Plus subscription.


You can sign up for the waitlist by clicking on the option to upgrade in the left sidebar of ChatGPT on a desktop browser.


OpenAI also suggests ChatGPT Enterprise for those who need more capabilities, as outlined in the pricing plans below.


Why Are ChatGPT Plus Subscriptions Paused?
According to a post on X by OpenAIβs CEO Sam Altman, the recent surge in usage following the DevDay developers conference has led to capacity challenges, resulting in the decision to pause ChatGPT Plus signups.
we are pausing new ChatGPT Plus sign-ups for a bit π
the surge in usage post devday has exceeded our capacity and we want to make sure everyone has a great experience.
you can still sign-up to be notified within the app when subs reopen.
β Sam Altman (@sama) November 15, 2023
The decision to pause new ChatGPT signups follows a week where OpenAI services β including ChatGPT and the API β experienced a series of outages related to high-demand and DDoS attacks.
Demand for ChatGPT Plus resulted in eBay listings supposedly offering one or more months of the premium subscription.
chatgpt plus accounts selling ebay for a premium π«‘πΊπΈ https://t.co/VdN8tuexKM pic.twitter.com/W522NGHsRV
β surya (@sdand) November 15, 2023
When Will ChatGPT Plus Subscriptions Resume?
So far, we donβt have any official word on when ChatGPT Plus subscriptions will resume. We know the GPT Store is set to open early next year after recent boardroom drama led to βunexpected delays.β
Therefore, we hope that OpenAI will onboard waitlisted users in time to try out all of the GPTs created by OpenAI and community builders.
What Are GPTs?
GPTs allow users to create one or more personalized ChatGPT experiences based on a specific set of instructions, knowledge files, and actions.
Search marketers with ChatGPT Plus can try GPTs for helpful content assessment and learning SEO.
Two SEO GPTs I’ve created for assessment + learning ππ
1. Content Helpfulness and Quality SEO Analyzer: Assess a page content helpfulness, relevance, and quality for your targeted query based on Google’s guidelines vs your competitors and get tips: https://t.co/LsoP2UhF4N pic.twitter.com/O77MHiqwOq
β Aleyda Solis ποΈ (@aleyda) November 12, 2023
2. The https://t.co/IFmKxxVDpW SEO Teacher: A friendly SEO expert teacher who will help you to learn SEO using reliable https://t.co/sCZ03C7fzq resources: https://t.co/UrMPUYwblH
I hope they’re helpful ππ€©
PS: Love how GPT opens up to SO much opportunity π€― pic.twitter.com/yqKozcZTDc
β Aleyda Solis ποΈ (@aleyda) November 12, 2023
There are also GPTs for analyzing Google Search Console data.
oh wow. I think this GPT works.
Export data from GSC comparing keyword rankings before and after an update and upload it to ChatGPT and it will spit out this scatter plot for you.
It’s an easy way to see if most of your keyword declined or improved.
This site was impacted by⦠pic.twitter.com/wFGSnonqoZ
β Marie Haynes (@Marie_Haynes) November 9, 2023
And GPTs that will let you chat with analytics data from 20 platforms, including Google Ads, GA4, and Facebook.
Google search has indexed hundreds of public GPTs. According to an alleged list of GPT statistics in a GitHub repository, DALL-E, the top GPT from OpenAI, has received 5,620,981 visits since its launch last month. Included in the top 20 GPTs is Canva, with 291,349 views.
Β
Weighing The Benefits Of The Pause
Ideally, this means that developers working on building GPTs and using the API should encounter fewer issues (like being unable to save GPT drafts).
But it could also mean a temporary decrease in new users of GPTs since they are only available to Plus subscribers β including the ones I tested for learning about ranking factors and gaining insights on E-E-A-T from Googleβs Search Quality Rater Guidelines.


Featured image: Robert Way/Shutterstock
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