Recently, I’ve been exploring the fascinating divergence in AI adoption between professional circles and general consumers. According to Datos and SparkToro’s latest data, this trend is becoming increasingly apparent.
It was intriguing to see how AI usage is starting to plateau among consumers while remaining on the rise in professional environments. Tools like Claude, ChatGPT, and Gemini are seemingly more popular in the B2B landscape.
Why we care. As I delve deeper into AI’s impact, it’s becoming clear that a universal AI strategy won’t work for everyone. It’s essential to identify whether my audience aligns with these broader trends or if their AI engagement habits are entirely different.
ChatGPT desktop growth slowed. From Fishkin’s analysis, it appears that ChatGPT’s usage in the U.S. has stagnated over recent months while Claude and Gemini continue their growth trajectories. It seems that professionals are continually finding value in these tools.
At its zenith, 37% of U.S. desktop users engaged with OpenAI or ChatGPT back in September 2025. This number dipped slightly to 34% by March, a trend mirrored, albeit with higher numbers, in the EU and U.K.
Claude gained with professionals. I noticed Claude is particularly gaining traction among professional users. Fishkin’s data suggests a significant rise in usage among business professionals, resonating with the notion that AI adoption is stronger in B2B contexts.
The analysis even revealed that Claude’s use among B2B professionals was 373% higher than the U.S. average, reinforcing the tool’s growing popularity in business circles.
Consumer audiences look different. Interestingly, when it comes to the retail-shopping consumer audience, ChatGPT isn’t as prevalent, being 15% less likely to be used compared to the typical American consumer. For this group, Claude isn’t even in the top four AI tools.
This might explain why AI seems so prevalent in professional networks like LinkedIn, while its visibility is not as pronounced among general consumers.
The research. You can view Rand Fishkin’s detailed insights on LinkedIn by watching his video here.
In this report, I’m excited to share with you the average conversion rate data we gathered from B2B companies over the span of 2019 to 2026. We meticulously segmented this information by landing page type and industry. By analyzing data from 83 companies across 27 diverse industries, we provide a comprehensive insight into the world of B2B landing pages. Each of our clients in this study turned to us for an SEO campaign, and 38 of these organizations additionally took advantage of our content creation, email marketing, or LinkedIn marketing services.
When I mention conversion, I refer to actions like filling out a contact form, signing up for a demo, downloading a gated white paper, subscribing to a newsletter, making a purchase, or any other action that aligns with the page’s call-to-action. The conversion rate of a page is the percentage of visitors who perform one or more of these actions in a given timeframe (commonly measured quarterly).
Our analysis covered six different types of landing pages: Product Pages, Service Pages, Industry Pages, Location Pages, Customer Type Pages, and Application Pages. We intentionally excluded Home Pages, About Pages, and other general informational pages.
Customer-type pages are explicitly targeted to well-defined client profiles. Consequently, when this client lands on this page, the conversion rate is high compared to other landing pages.
Application
3.1%
Similar to service pages, application pages should demonstrate your experience in solving a problem related to the reader’s issue.
Product
2.9%
Product pages are typically direct and enjoy relatively high conversion rates since they target the most transactional search intents.
Service
2.7%
Service pages are akin to product pages, enjoying high conversion rates due to the customer journey stage visitors are in when they reach a service page.
Industry
1.8%
These pages serve a dual purpose: demonstrating your understanding and expertise in the industry.
Location
1.1%
Location landing pages should make it clear that you’re familiar with the specific geographic area’s nuances necessary for delivering the service/product. Many location pages suffer from poor conversion rates due to duplicate content.
The following landing page strategies have consistently improved conversion rates for our clients. Let me walk you through them:
Reduce Form Fields: For early-stage conversions, I recommend limiting fields to email, first name, and company (optional). For demo requests, include additional fields like job title or phone number.
Add Trust Signals: Ensure your landing page includes client logos, review scores, testimonials, and certification information if they’re not already there.
Include Product Features & Highlights: Present your product’s value clearly by addressing the reader’s pain points in a visually engaging manner.
Include Mid-Page Calls to Action: Anticipate that readers might not scroll to the bottom of the page. Provide opportunities for them to engage further with offers such as a free demo or newsletter signup.
Further Reading and Requesting a Copy of This Report
If you’re interested in learning more about conversion rates, I invite you to explore our other resources below:
I’ve gathered insights into the top B2B content marketing agencies of 2026, evaluating them based on these seven crucial factors:
Year Established: A longer tenure often correlates with an ability to produce top-notch work and adapt to economic changes.
Founder Led: Agencies still led by their founders tend to maintain their original commitment to excellence.
Leadership Experience Score: We assessed the experience of each agency’s top executives in content marketing, scoring them from 1-5 based on online bios and LinkedIn profiles.
Average Reviews: We averaged client reviews from B2B businesses to gauge satisfaction.
Median Employee Tenure: Longer employee tenure indicates strong institutional knowledge and better results.
Media References: We estimated how often each agency’s content is cited by media or high-authority publishers.
Notable Clients: Past work with high-profile clients showcases potential for success.
Approach to Content Marketing: We value agencies focusing on quality content and long-term ROI.
Below, I’ve presented our findings in a detailed table.
The Top B2B Content Marketing Agencies of 2026
I’ve detailed each agency’s strengths and provided insights into their services, from expert leadership to standout client experiences. Dive in to explore how these agencies can transform B2B marketing strategies.
I took our SEO to a whole new level, and the results were astonishing. From just $12K in ad spend, we skyrocketed to $1.6M in revenue. Let me share how building authority, optimizing conversion signals, and setting up CRM feedback loops made our PPC scalable.
You might already be familiar with how important SEO is for improving traffic and authority, but what isn’t discussed enough is its impact on other channels like PPC. This case study reveals how we scaled performance marketing in the high-consideration B2B medical device market by nailing our SEO fundamentals.
Marketing a premium pelvic floor chair isn’t your typical ad campaign. This device has a lengthy sales cycle and relies heavily on medical expertise. Our customers range from doctors to physiotherapists, all of whom demand reliable clinical evidence and credibility.
In markets like ours, when common performance tactics fell short, building credibility and authority was key. Without trust in our products and services, performance simply couldn’t scale. I’ve learned that no optimization works without it.
Starting 2023, our Google Ads campaigns were launched with limited SEO. The lack of optimization led to underattribution and resulted in a minimal scaling effect. We also dealt with delays in Google Ads bidding algorithms due to conversion tracking issues.
Despite these challenges, early campaigns confirmed there was a demand. I realized that fixing the surrounding system was necessary to capitalize on this potential in the long run.
By mid-2024, I shifted the focus to treating SEO as a central part of our revenue strategy rather than an additional enhancement. Rather than chasing quick rankings, we prioritized building authority in pelvic health. Our strategy involved educational content, mapping out the entire informational landscape around pelvic health issues.
Our shift paid off. We invested in long-form content, structured it well, and embedded supporting visuals. This approach transformed us into a trusted resource over time and improved our credibility, which is essential in medical markets.
Our biggest success came from leveraging partnerships with clinics and medical professionals. Providing ready-to-use content allowed us to establish valuable backlinking opportunities in exchange for using our resources. These links enhanced our visibility and authority in healthcare sectors.
Ultimately, this strategy resulted in a manifold increase in referring domains and significantly boosted our topical authority. Our backlinks were closely aligned with Google’s assessment of expertise and trust.
By late 2024, our top rankings for crucial keywords like ‘Beckenbodenstuhl’ clearly demonstrated our growing organic visibility. Prospects repeatedly encountered our brand in their research phase, reinforcing trust even before they saw our ads.
Our organic presence also reshaped how users engaged with our ads. Familiarity bred trust, and many users chose our advertisements due to previous organic encounters. This effect was even more pronounced in competitor-specific campaigns, where we achieved high click-through rates.
Improving conversion tracking was the next game-changer. Moving away from standard GA4-imported conversions to GTM-native events allowed us to get faster and cleaner signals, optimizing bidding algorithms effectively.
Integrating our HubSpot CRM closed the loop between marketing and sales. We tracked not only the quantity of leads but also their quality, feeding this data back into our Google Ads to optimize really meaningful outcomes.
With $12,000 in ad spend during 2025, our integrated SEO and PPC strategy led to impressive growth. In just two years, we observed a 140% sales increase from 2023-2024, followed by another 79% in 2025. This equated to a fourfold growth in our sales volume fueled by digital marketing.
The key to scaling PPC lies in trust and quality signals, underscored by sound SEO practices. It’s not about one-off optimizations but a holistic system that includes aligned SEO, precise tracking, and insightful CRM feedback.
Complex markets don’t fail because the strategies are wrong; they fail due to incorrect assumptions about simplicity solving complexity.
As a B2B company, I’ve noticed a significant shift in how buyers conduct vendor research, especially with the growing use of AI-driven platforms like ChatGPT. This trend presents a unique opportunity for us to increase our visibility and be recommended during the buying process.
To capitalize on this, it’s essential to understand how AI search works and how we can optimize our presence to stand out. By leveraging AI visibility strategies, we can make sure our company appears at the top of vendor search results.
One of the key tactics I’ve explored is incorporating AI-powered SEO tools to fine-tune our website and content. This approach not only enhances our searchability but also aligns with the evolving digital landscape where AI is becoming a primary decision-making tool.
Moreover, staying informed about market trends and continuously adapting our strategies ensures that we remain competitive. Engaging with our audience through personalized content and targeted campaigns can build the brand authority needed to get recommended by AI systems.
In conclusion, as AI continues to reshape the purchasing journey, positioning ourselves strategically in AI searches is vital. By embracing these changes, we can effectively increase our B2B visibility and ensure we’re on the radar of potential buyers.
As someone who navigates the complex world of B2B marketing, I’ve learned that automation isn’t just for ecommerce anymore. In fact, harnessing AI-powered tools can drive more leads and streamline processes, cutting costs and saving precious time.
B2B marketing presents unique challenges because many automation tools are optimized for ecommerce, not lead generation. Unlike ecommerce, where conversions can number in the hundreds, B2B deals with fewer, more complex conversions.
But here’s the silver lining: automation still holds remarkable potential. According to Melissa Mackey from Compound Growth Marketing, the right strategy can convert these tools into prolific drivers of B2B leads.
The Fundamental Challenge: Why Automation Struggles with Lead Gen
The truth is, automation is tailor-made for ecommerce glory, posing three major hurdles for B2B marketers.
Customer journey length: Unlike quick ecommerce sales, B2B sales cycles can extend over a year. This disconnects initial engagement from eventual revenue.
Conversion volume requirements: Google’s automation thrives on high conversion volumes, something B2B campaigns struggle to achieve.
The cart value conundrum: With no instantaneous cart value, B2B marketers have little guidance for optimization.
The Solution: Sending the Right Signals
Even with these challenges, there’s a clear path forward for making automation work effectively in B2B lead gen.
Offline Conversions: Your Number One Priority
Integrating your CRM with platforms like Google Ads is crucial to successful automation. This connection builds the necessary foundation for strategic optimization.
In Google Ads’ Data Manager, options galore await—whether it’s seamless integrations with HubSpot and Salesforce or custom solutions with tools like Snowflake and Zapier.
Embrace Micro Conversions with Strategic Values
Micro conversions demonstrate intent, showcasing engaged visitors who aren’t quite leads yet. By assigning relative values to these actions, we can teach automation what’s essential.
Video views (value: 1): Demonstrates initial curiosity.
Form fills (value: 100): Indicates strong interest and commitment.
Marketing qualified leads (value: 1,000): The ultimate signal of potential value.
This structured value system guides automation towards prioritizing high-value actions over mere conversion rates.
Making Performance Max Work for Lead Generation
Don’t discount PMax for lead generation. When combined with proper conversion values and offline data using a Target ROAS bid strategy, PMax can yield outstanding results.
One client’s strategic tracking of offline conversions led to significant increases across leads, opportunities, and closed deals.
Leads increased 150%
Opportunities up 350%
Closed deals improved by 200%
Utilizing a Target ROAS strategy made all the difference, focusing on real customer value rather than superficial numbers.
Campaign-Specific Goals: An Underutilized Feature
Optimizing with campaign-specific goals provides control and flexibility, allowing for focused conversions and avoiding conflicts within campaigns.
Mid-funnel campaigns: Target lead form submissions.
Audience building: Use form fills to engage prospects.
Qualified lead campaigns: Promote offers to warm audiences.
This strategy prevents conflicting objectives and enables more focused targeting.
Portfolio Bidding: Reaching the Data Threshold Faster
Portfolio bidding helps combine similar campaigns to cross the 30-conversion-per-month mark quicker, feeding the system with substantial data for optimization.
Despite potentially needing separate campaigns for logistical reasons, portfolio bidding maintains campaign structure while delivering ample data.
Bonus: It lets you cap CPCs to prevent runaway bids, offering control beyond what’s typically accessible.
First-Party Audiences: Powerful Targeting Signals
First-party audiences are critical in signaling your target preferences, especially in AI-driven campaigns.
Did you know you can leverage your CRM to create these audience signals?
Customer lists: Exclude or use as lookalikes to refine targeting.
Contact lists: Enable observation or direct targeting as needed.
This approach builds trust in broader keyword strategies within AI campaigns by anchoring them to real audience data.
Leveraging AI for B2B Lead Generation
AI tools can be game-changers in optimizing B2B ad efficiency, especially when used with a clear intent recognizing their consumer-oriented training.
The Essential B2B Prompt Addition
When using AI, always specify that your target audience is other businesses. It shifts the AI’s focus and aligns its output to suit B2B contexts.
Client Onboarding and Profile Creation
Use AI to build dynamic client profiles by detailing what you offer, your unique value propositions, and your target personas.
Core values and offerings
Unique selling propositions
Target personas
Ideal client profiles
These profiles enhance every AI interaction, increasing accuracy and relevance exponentially.
Competitor Research in Minutes, Not Hours
Let AI handle competitive analysis, transforming what once took several hours into a streamlined 15-minute task. Instruct AI to assess competitors, analyzing their positioning, offers, and customer sentiment quickly.
Current offers
Positioning
Value propositions and customer feedback
AI provides clean, digestible outputs, perfect for presentations or further analysis.
Competitor Keyword Analysis
With tools like Semrush, I efficiently examine competitor keywords and use AI to determine unique opportunities or gaps in our strategy.
Find gaps: Discover keywords competitors rank for that you don’t.
Identify strengths: Highlight keywords you dominate.
Theme grouping: Spot patterns to refine campaign structure.
This precise analysis, once labor-intensive, is now streamlined to a matter of minutes.
Automating Routine Tasks
Leverage AI to handle tedious tasks, freeing up time for strategic work.
Negative keyword review: Automate decision logic for faster processing.
Ad copy generation: Use AI-generated drafts for efficient refinement.
Experiments: Testing What Works
Experiment with different campaign elements using the Experiments feature to find what works best without manual math effort.
Bid strategies
Match types
Landing pages
Solutions: Pre-Built Scripts Made Easy
Google Ads provides solutions for automating tasks like reporting and anomaly detection without manually inserting code.
Reporting and dashboards
Anomaly detection
Keyword list creation
These tools are excellent time-savers, though use them with caution in complex enterprise setups.
Key Takeaways
Although automation is traditionally not geared toward lead generation, informed strategies make it work wonders for B2B marketing.
Strategic signals: Integrate offline conversions and use first-party data to bolster targeting.
AI partnership: Automate to enhance productivity, letting your team focus on higher-value tasks.
Utilize platform features: Leverage built-in tools for enriched campaign performance.
In our latest report, I’ve dug deep into the world of Shopify Plus agencies to bring you the cream of the crop for 2026. With an exhaustive analysis of 84 agencies globally, my research focused on crucial factors like mastery of the Shopify Plus platform, customer reviews, and unique enterprise capabilities.
After meticulously evaluating each agency, I honed in on six standout contenders by ranking their abilities in areas such as technical expertise, B2B implementation success, and customer satisfaction rates. Below, I’ve summarized who made the cut and why they shine.
The Top Shopify Plus Agencies of 2026
Here, I’m unveiling the top Shopify Plus specialists! This table showcases each expert agency based on a comprehensive assessment of their technical prowess and customer delight.
With over 15 years of experience, Atwix stands as a beacon for B2B eCommerce transformation. Founded by Slava Kravchuk, Atwix leverages its vast Shopify Plus expertise, bringing innovative custom development and integration services to manufacturers and distributors.
What sets Atwix apart is their ingenious Sirius integration platform, a vital tool that links various enterprise systems with ease, ensuring real-time data accuracy. Their 96% client retention rate is a testament to their ability to offer solutions that scale as businesses expand.
Clients laud Atwix as “true professionals” providing “quick responses” and “elegant solutions” to complex challenges. Their “deep technical expertise” and proactive management are consistently highlighted.
Eastside Co: Masters of Conversion Rate Optimization
At Eastside Co, the name of the game is conversion rate optimization through precise A/B testing strategies. My insights show this agency emphasizes performance metrics, helping brands maximize their growth potential in the Shopify Plus ecosystem.
Their targeted services benefit direct-to-consumer brands, reflecting their commitment to driving results using data-driven methodologies. Though they excel in conversion, their scope might be too narrow for businesses needing expansive ecommerce solutions.
Clients commend Eastside Co for their “focus on performance metrics” and systematic approach to achieve “ROI improvements.” Their dedication to analytics stands out, though some mention the need for additional partners for broader projects.
We Make Websites: Experts in UK Headless Development
In the UK, We Make Websites is synonymous with expertise in headless commerce and performance optimization. My research indicates their focus on Core Web Vitals and innovative technical practices makes them a powerhouse for UK markets.
While they are adept at creating high-speed, dynamic experiences, their strategies focus primarily on the UK, which might pose challenges for international companies with more complex needs.
Location: London, UK
Established: 2008
Price Range: $$$$
Average Review Score: 4.8/5
Services Offered: Headless Commerce, Performance Optimization, Custom Development, API Integration, Technical SEO
Summary of Online Reviews
Clients praise them for their “attention to performance” with “lightning-fast storefronts.” However, their strong UK-centric approach can be challenging for global firms.
Digital Silk: Crafted for Large-Scale Fashion Brands
For those in the fashion arena, Digital Silk offers exceptional design-centric Shopify Plus services. Their commitment to aesthetic excellence is ideal for high-end fashion brands focused on stunning visual identity over operational intricacies.
While their creativity in design sets them apart, their services might not suit businesses looking for robust, functional ecommerce solutions with sophisticated technical requirements.
Location: New York, NY
Established: 2013
Price Range: $$$$
Average Review Score: 4.7/5
Services Offered: Brand Design, Shopify Plus Development, Visual Identity, Digital Marketing, UX Design
Summary of Online Reviews
Clients appreciate their “design quality” and the ability to craft “experiences” that highlight brands, though some note their focus on aesthetics can sometimes overlook functional needs.
Studio Rotate: Embodying Australian Commerce Design
Studio Rotate blends local market knowledge with design prowess to serve the Australian market effectively. My insights reveal their visually compelling solutions cater magnificently to regional audiences.
While their boutique approach is a boon for Australian brands, it might not match the needs of international or large enterprises seeking extensive capabilities and scalability.
Location: Melbourne, Australia
Established: 2016
Price Range: $$$
Average Review Score: 4.5/5
Services Offered: Shopify Plus Development, Australian Market Focus, Design Direction, User Experience, Local Commerce
Summary of Online Reviews
Clients remark on their “deep Australian market knowledge” and ability to craft “local designs.” However, regional focus can limit scalability for international markets.
Charle: Masters of UK Creative Solutions
Since 2018, Charle has charmed ambitious UK brands with their creative and performance-driven Shopify Plus development. With a focus on people-first strategies, they’ve built a remote-first culture that encourages innovative collaboration.
However, while offering captivating creative designs, their capacity to address comprehensive B2B functionality is limited, particularly outside the UK market.
Location: London & Manchester, UK
Established: 2018
Price Range: $$$
Average Review Score: 4.4/5
Services Offered: Shopify Plus Development, Creative Design, UK Market Focus, Platform Migration, Brand Development
Summary of Online Reviews
Clients describe their experience with Charle as “an absolute dream” due to their “creative approach” and seamless process, though their focus on UK limits global expansion capabilities.
The Top Shopify Plus Agencies in the US by Specialty
To aid you further, I’ve classified these exceptional Shopify Plus agencies into specialized categories based on detailed research. This should help you align with partners who resonate with your project goals and growth aspirations.
I’ve learned over the years that Google doesn’t prioritize B2B marketers when developing new products. The focus initially lies with DTC and B2C brands, as they account for the largest budgets and transaction volume.
This pattern has repeated itself time and again in my advertising career. We saw this with responsive search ads and dynamic search ads. Performance Max follows this well-trodden path.
Back in the day, I would have firmly advised B2B companies against using Performance Max. However, in 2026, the scenario has changed significantly.
Not every B2B advertiser will benefit from Performance Max, nor should they. Here, I’ll explore who could benefit and who might be better off exploring other avenues. Testing new strategies is crucial if we’re to see meaningful changes in our results.
PMax 101 for B2Bs
If you’re reading this, I suspect you fall into one of three categories: Performance Max either isn’t working for you, you haven’t tried it, or you’re seeking improvements.
Let’s clarify a key point: Performance Max is a goal-based campaign model. It allows advertisers access to Google’s entire ad inventory through a single campaign. This includes YouTube, Display, Search, Discover, Gmail, and Maps, and we’re beginning to see ads in AI Overviews too.
If your industry already features ads in AI Overviews, you should seriously consider putting Performance Max on your radar.
Although encountering ads across Google’s network might seem daunting, especially if you’re working without a shopping feed, it’s no cause for concern. It’s a significant advantage, allowing us to reach individuals within the buying group who wouldn’t usually engage via traditional search.
Nurturing prospects through complex, lengthy sales processes is one area where Performance Max particularly shines for B2B marketers. Given that B2B decisions often involve multiple stakeholders over extended periods, a sustained advertising presence can be transformative.
What needs to be in place before testing Performance Max
Several prerequisites are necessary before diving into Performance Max. Importantly, you’re targeting signals, not keywords, and this distinction is crucial.
To set up successfully, you’ll need to connect your data source—such as Salesforce or your preferred CRM—and link it to meaningful online events, like qualified lead submissions or appointments booked.
Set your bid strategy to maximize conversions or target CPA, as Performance Max focuses on optimizing around outcomes rather than mere traffic.
Providing a customer list can further help the system identify and model similar characteristics, utilizing first-party data for better performance than website remarketing audiences alone.
Performance Max isn’t a blanket solution. If your B2B strategy depends on a limited, highly controlled target list, this may not be your best option.
Account-based marketing often yields better results with manual control when dealing with a few hundred named accounts.
The suitability of your market is another factor. A large addressable market is ideal, as targeting niche groups like private equity firms may not be as effective, with too little data for Performance Max to scale efficiently.
Additionally, if conversion actions are vague or poorly aligned with revenue, Performance Max may struggle to recognize what success looks like, leading to disappointing results.
Finally, if your organization is resistant to automation or frequently intervenes with adjustments, you may find Performance Max frustrating and destabilizing.
Performance Max isn’t a one-size-fits-all answer for B2B advertising, yet it’s now a viable option for many organizations when previously it wasn’t.
With the right elements—like strong conversion signals, a large market, and a willingness to let automation take the reins—it can significantly support long and intricate buying cycles.
It’s crucial to be honest about your data, your audience, and your organization’s readiness for automation. Without these, Performance Max can falter.
When conditions are conducive, it complements existing strategies by both capturing and generating demand effectively.
Success in B2B advertising isn’t about chasing the latest trend; it’s about thorough testing, relevant measurement, and discerning where and when a tool is appropriate.
Here’s how LinkedIn professional attributes enhance intent, automation, and creative decisions in Microsoft Advertising.
Using LinkedIn targeting within Microsoft Advertising allows me to align creative strategies with the perfect audience. By engaging with this thoughtfully, I can apply professional insights to intent-driven inventory without breaking the bank.
The key is understanding how these targeting methods collaborate across different campaign types. In this guide, I’ll walk you through leveraging LinkedIn data within Microsoft Advertising, including:
LinkedIn in Search campaigns, including Multimedia ads.
Using LinkedIn insights for an enhanced audience strategy.
Performance Max targeting signals.
Audience reach and composition insights via Audience Planner.
Disclosure: As a Microsoft employee, I’ve kept this article objective, focusing on LinkedIn targeting mechanisms, targeting action items, reporting, and message mapping strategies.
LinkedIn Profile Targeting in Search
Microsoft Advertising search campaigns fully support LinkedIn profile targeting, allowing me to layer professional attributes on top of keyword targeting. The supported attributes include:
Company
Industry
Job function
These audiences can be utilized across Microsoft‑owned environments, such as Bing Search, Microsoft Edge, Microsoft Start, and other eligible search surfaces, provided users are signed in.
In search, LinkedIn targeting works as a contextual guide rather than a standalone target. Keywords carry the main weight, while LinkedIn data helps me adjust my response when professional relevance is present.
How to Approach It
Start with keywords that already convert: LinkedIn targeting enhances existing intent with proven keywords. I apply bid adjustments to campaigns or ad groups where search terms already demonstrate business value, potentially increasing bids by 10%-15% for aggressive bidding or more aggressive adjustments when impression share is lost to rank.
Choose one professional dimension first: I begin with either company, industry, or job function instead of applying all three simultaneously. This approach prevents double-bidding on potential customers.
Use bid-only mode to establish a baseline: Observation mode provides performance clarity before I make delivery decisions. This acts as audience research to identify who engages profitably.
LinkedIn Professional Demographics in Audience Ads
Audience Ads leverage LinkedIn Professional Demographics as both a targeting and observation layer, introducing professional context into native, display, and video formats tailored for scalable reach.
Audience Ads aren’t driven by keyword intent; however, Professional Demographics anchor delivery and insights in real-world business contexts, bridging broad reach with professional relevance.
These ads let me apply company, industry, and job function as professional audience layers, which I can use to observe performance trends or influence delivery, depending on campaign objectives.
How to Approach It
Start in observation to understand natural performance: By observing performance trends in Professional Demographics, I learn which industries, job functions, or company types naturally engage with Audience Ads before imposing delivery constraints.
Let LinkedIn data inform creative, not just delivery: In content-rich environments, creative matters more than targeting alone. I use insights from high-performing professional segments to shape tone, examples, and value framing in my messaging.
Align format choice with professional mindset: Different formats perform distinct roles. For example, native and display formats excel in awareness and education within professional segments, while video supports storytelling and industry-specific narratives. Professional Demographic insights guide the most suitable formats for varied business audiences.
LinkedIn Data in Performance Max: Guiding Automation with Purpose
LinkedIn profile targeting is available within Performance Max campaigns, where it functions as an audience signal. These signals help the system identify professional profiles most likely to yield profit for my business and influence budget allocation.
Within Performance Max, professional signals are most effective when representative and directional, rather than exhaustive, providing the system a strong starting point.
How to Approach It
Select signals that reflect your best customers, not every customer: Using LinkedIn attributes to describe my most valuable segments is crucial, especially if different personas represent varying ROAS/CPA goals, as this affects PMax campaign asset groups’ shared ROAS/CPA bidding.
Pair LinkedIn signals with strong conversion definitions: Automation improves when reinforced by clear success metrics. Ensuring at least 30 conversions over a 30-day period is vital for autobidding effectiveness.
Allow time for learning: Audience signals need sufficient volume to influence delivery, so I avoid frequent changes during the initial learning period (two weeks). Afterward, budget adjustments up to 15% can be made without triggering learning period fluctuations.
Aggregated LinkedIn audience reporting is divided by company, industry, and job function, letting me analyze how professional segments contribute to campaign performance. This reporting, found under Reporting > Professional demographics, includes LinkedIn targeting or audiences applied through predictive targeting.
How to Approach It
Look for consistency across time, not single spikes: Patterns emerging over weeks or months are more actionable than short-term anomalies. I allow “observation” audiences ample time to prove themselves or use Audience Planner for informed decisions at scale.
Use reporting to inform creative and bids together: Upon identifying outperforming professional segments, I scrutinize messaging and bidding before initiating changes. It’s crucial to confirm creative resonance without overbidding.
Avoid over-segmentation early: Excessive audience segmentation can weaken signal strength, especially when conversion scarcity is a concern.
Bidding with LinkedIn Audiences
In Microsoft Advertising, I use bid adjustments alongside automated strategies, enabling flexibility in how LinkedIn audiences influence auctions. Overlapping audiences can amplify bid adjustments, necessitating overlap awareness as part of my bid strategy.
Effective bidding adjustments should be incremental and reversible, aiming for calibration rather than acceleration.
Creative Strategy: Professional Relevance Without Narrow Assumptions
LinkedIn targeting controls ad visibility, but creative determines engagement. Professional cohorts encompass a variety of experiences, identities, and viewpoints. My aim is effective creative that respects diversity while remaining relevant to shared contexts.
Effective creative exhibits professional empathy, addressing challenges, goals, and constraints without reliance on stereotypes.
How to Approach It
Anchor creative in shared problems, not titles: I focus on challenges common to roles and seniority levels within a LinkedIn targeting segment.
Keep language inclusive and adaptable: I avoid assumptions about background, experience, or decision-making authority.
Use AI tools to localize, not homogenize: Adapting tone or examples by region or industry while preserving message intent is crucial.
Test creative alongside audience layers: I evaluate messaging performance within LinkedIn segments to refine both together.
Extending LinkedIn Insights Across B2B Campaigns
LinkedIn targeting in Microsoft Advertising provides an opportunity to combine professional expertise with intent-driven media scalably, in a privacy-conscious and economical manner.
Teams already using LinkedIn Ads can leverage this strategy to extend learnings into additional inventory via automation, amplifying reach and efficiency.
The value lies not in complexity, but in alignment – aligning data, mechanics, and human behavior enhances results.
Key takeaways:
LinkedIn profile targeting is fully accessible in Search and Performance Max on Microsoft surfaces.
Professional attributes act as targeting layers in search and optimization signals in Performance Max.
An observation-first approach fosters understanding before commitment.
Aggregated reporting aids informed optimization without revealing individual data.
Empathy-anchored creative fosters professional relevance.
When I use LinkedIn data with curiosity and care, it offers a way to view audiences more clearly rather than control them more tightly. For B2B advertisers navigating complex buying journeys, such clarity often becomes the most valuable optimization.
Recently, I’ve been exploring LinkedIn’s Reserved Ads feature, which is now open to all managed advertisers. This exciting update lets me secure the prized top-of-feed placement, fundamentally boosting visibility and engagement for my B2B campaigns.
LinkedIn has now made Reserved Ads accessible to all managed accounts, allowing me to grab the first ad slot in the feed. This prime location guarantees premium visibility for my advertising efforts.
What’s new. With Reserved Ads, I can secure top-of-feed placement at a consistent rate, ensuring predictable delivery and enhanced reach. According to LinkedIn, this format drives up to 75% higher dwell time, 88% higher view-through rates, and achieves 99% of forecasted impressions, making it a powerful choice for my marketing strategy.
How it works. These ads appear in the most visible ad slot on LinkedIn’s feed and support a variety of Sponsored Content formats like Video, Single Image, and Carousel Ads. My LinkedIn account representative assists me in reserving this valuable inventory and setting the pricing strategy.
Why we care. For me, LinkedIn Reserved Ads are a game-changer, providing guaranteed top-of-feed placement. This increases my campaign’s visibility and engagement, helping me stand out in the competitive B2B space. The premium positioning enhances brand recall and influences potential leads early in the funnel.
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The predictable delivery and fixed pricing models mean I can plan my campaigns with more certainty, while also building high-quality retargeting audiences for future conversions.
The big picture. By utilizing Reserved Ads, I’m effectively bridging brand awareness and demand generation. Anchoring my campaigns at the top of LinkedIn’s feed enables me to create higher-quality retargeting pools, with LinkedIn reporting up to a 101% increase in mid-funnel engagement as a result.
The bottom line. LinkedIn’s Reserved Ads provide me, as a B2B marketer, with a predictable way to command attention and transform it into significant demand.
