July 8, 2025
LinkedIn is the go-to platform for B2B marketers in 2025, with over 1 billion users and 97% of marketers using it for content sharing. Here’s what you need to know:
Focus on using these benchmarks to measure, adjust, and improve your campaigns for better ROI and lead quality.
Click-through rate (CTR) is a key metric that shows how well your LinkedIn ads grab attention and encourage users to take action. It's calculated using the formula: (clicks ÷ impressions) × 100. A high CTR suggests your ad resonates with your audience and drives meaningful engagement, helping you make the most of your advertising budget.
Recent data [3] highlights that the global average CTR for LinkedIn sponsored content in 2025 ranges from 0.44% to 0.65%, though this can vary depending on the ad format, industry, region, and audience type. For example:
When it comes to industries, performance varies too. Retail leads with an average CTR of 0.8%, followed by transportation and logistics at 0.67%. Healthcare averages around 0.58%, while software and internet companies typically see lower rates, at about 0.39%. In the UK, businesses in financial services, insurance, and banking can expect a CTR close to 0.49%.
Regional trends also play a role. EMEA (which includes the UK) averages a CTR of 0.6%, slightly higher than NAMER’s 0.5%, but lower than APAC’s 0.8%. Audience seniority matters too - senior decision-makers typically achieve a CTR of 0.55%, while junior employees tend to perform slightly better at 0.60%.
CTR also varies by job function, as shown below:
| Job Function | CTR |
|---|---|
| Business Development | 0.65% |
| Education | 0.65% |
| Human Resources | 0.62% |
| Accounting | 0.60% |
| Finance | 0.60% |
| Marketing | 0.60% |
| Sales | 0.58% |
| Engineering | 0.57% |
| Information Technology | 0.57% |
| Operations | 0.55% |
| Product Management | 0.54% |
Now, let’s dive into how AI can help refine these metrics and improve CTR.
AI tools are transforming how advertisers optimise CTR by analysing massive amounts of campaign data to uncover hidden patterns and trends. Instead of relying on manual effort, AI delivers fast, actionable insights to enhance ad performance.
Take Autelo, for example. This platform goes beyond basic analytics, offering recommendations to improve CTR by identifying the most effective headlines, visuals, and calls-to-action - removing much of the guesswork.
"AI can analyse large volumes of campaign data, identify patterns, extract insights, and even provide actionable recommendations – all in an instant."
– Salesforce's marketing innovation team [5]
AI also takes A/B testing to the next level. Rather than testing one variable at a time, it evaluates how combinations of elements - such as headlines, images, and calls-to-action - work together to influence CTR. For instance, AI might reveal that a specific headline style generates better results when paired with a particular image type.
Additionally, AI-powered audience refinement allows you to pinpoint the most responsive segments by analysing factors like job roles, industries, and demographics. On top of that, AI-driven content generation can create multiple ad variations tailored to different segments, ensuring higher engagement.
Cost per click (CPC) represents the amount you pay each time someone clicks on your LinkedIn ad. It's a key metric for determining how cost-efficient your campaign is. While LinkedIn's CPC tends to be higher than on other platforms, its professional audience often makes up for this with higher-quality leads and precise targeting.
Globally, LinkedIn's average CPC stands at £5.58 [3]. However, costs vary depending on the audience's seniority. For example, targeting senior decision-makers comes with a higher CPC of £6.40, while reaching junior employees costs around £4.40 [3]. This reflects the added value of engaging with senior professionals.
Industries also experience notable differences in CPC:
| Industry | Median LinkedIn CPC |
|---|---|
| Software & Applications | £8.04 |
| Advertising & Marketing | £4.77 |
| Business Services | £4.73 |
| Health & Fitness | £3.87 |
| Education | £3.11 |
| Finance & Insurance | £2.59 |
For UK-based B2B marketers, regional data from 2024 shows that the EMEA region averages £3.98 per click [1], which is significantly higher compared to APAC (£1.55) or LATAM (£1.62). These figures are particularly useful for UK marketers looking to refine their ad budgets.
SaaS and tech industries typically face higher CPCs, with NAV43 reporting a median CPC of £7.85 [6]. However, companies that focus on optimisation can achieve CPCs below £5.00, proving that smart strategies can significantly reduce costs.
As competition intensifies and targeting options become more advanced, CPCs have risen in recent years [4]. This trend underscores the importance of focusing on efficiency rather than simply increasing ad spend.
With these benchmarks in mind, let's explore how to lower CPC while maintaining the quality of your campaigns. Reducing CPC effectively requires a data-driven strategy that aligns your audience and messaging, rather than relying solely on bid adjustments [6].
LinkedIn's auction system calculates CPC based on inventory availability [3]. This means understanding your competition and timing is critical. Refining your audience targeting can lower CPC by reducing competition and improving your ad relevance score [3].
AI-powered tools like Autelo are particularly helpful in this area. They analyse large datasets to uncover patterns and provide recommendations on audience segments, ad formats, and timings that can lead to lower CPCs while maintaining lead quality.
“Use the forecasting tool in LinkedIn Campaign Manager to get a more accurate CPC estimate tailored to your region and target audience” [3].
This tool helps you set realistic budgets and expectations based on current market conditions before launching your campaigns.
Several factors, including audience type, the quality of your offering, and creative elements, all play a role in determining CPC [3]. It's not just about cutting costs; the best B2B marketers balance CPC with conversion rates and lead quality. Sometimes, a slightly higher CPC can yield better-qualified leads, ultimately delivering a stronger return on investment.
Conversion rates tell us how many clicks result in actions, making them a key metric for assessing the success of campaigns. They bridge the gap between clicks and tangible outcomes, offering a clear view of performance.
On LinkedIn, conversion rates can vary widely (5%–15%), depending on how companies define a "conversion" [3]. This highlights the importance of setting clear definitions to measure and benchmark results effectively. Let’s dive into the benchmarks and factors influencing these rates.
Typically, a LinkedIn conversion rate between 2% and 5% is considered good, with anything above that seen as exceptional [7].
Regional data from 2024 reveals how conversion rates differ across markets:
| Target Region | Conversion Rate | Cost Per Acquisition |
|---|---|---|
| AMER | 32.89% | £4.89 |
| Global | 35.32% | £13.65 |
| APAC | 19.77% | £14.21 |
| TOTAL | 16.08% | £28.08 |
| EMEA | 12.20% | £45.49 |
| LATAM | 3.31% | £150.43 |
| NA | 1.70% | £355.94 |
For UK-based B2B marketers, the EMEA region's 12.20% conversion rate [1] serves as a relevant benchmark, with an average cost per acquisition of £45.49.
Interestingly, conversion rates have been improving year-over-year, largely due to better-quality content [1]. Companies that prioritise relevant, engaging material tend to outperform those sticking to generic promotions.
Ad formats also play a role in performance. Sponsored InMail campaigns, for example, boast an open rate of 52%, far surpassing standard email marketing [13]. Meanwhile, carousel ads on LinkedIn achieve click-through rates up to ten times higher than traditional display ads on other platforms [13]. These insights highlight the value of choosing the right ad format for your goals.
Tracking conversion rates over time helps uncover trends and seasonal shifts, which can shape future strategies. When paired with AI-driven tools, historical data becomes even more powerful, enabling predictions and performance optimisation.
By 2025, it’s expected that 95% of B2B companies will integrate AI into their operations, with early adopters achieving revenue goals seven times more often [9]. AI can analyse past data to identify high-potential leads, helping marketers focus their efforts where they’ll have the most impact [8].
Take JB Impact as an example. In Q1 2025, they boosted a client’s conversion rate by 18% in just three months by using AI to tailor product descriptions to individual customer preferences [10]. Their system leveraged recommendation engines to refine its understanding of customer behaviour, ensuring more relevant suggestions.
Personalised emails are another effective tactic, increasing click-through rates by 14% and conversion rates by 10% [11]. AI takes this a step further by dynamically customising content based on factors like job role, industry, and engagement history [10]. This makes it possible to scale personalisation across even the largest campaigns.
For businesses keen to harness AI for better conversion rates, platforms like Autelo offer tools to analyse large datasets, uncover trends, and recommend strategies tailored to specific audience segments. By understanding which content and messaging resonate most, marketers can fine-tune their approach for maximum impact.
"AI isn't here to replace marketers - it's here to enhance your decisions, creativity, and performance. In a B2B world where personalisation, timing, and data-driven strategy matter more than ever, AI is no longer optional - it's essential."
- darkbears.com [10]
Regular monitoring of performance is crucial. Look for seasonal trends, shifts in audience behaviour, and content performance patterns. Interactive content, for instance, generates 4–5 times more views than static posts and converts at a rate of 61% [12]. This suggests that engaging formats often outperform more traditional methods.
Improving conversion rates is an ongoing process. AI tools can support continuous testing, such as A/B testing different messages or strategies, to uncover what works best [11]. Retargeting is another proven method, with studies showing it can boost ad engagement by up to 400% [12]. With the right tools and strategies, businesses can steadily enhance their campaign results over time.
Cost per lead (CPL) is the amount you spend to generate a single qualified lead through your LinkedIn campaigns. This metric is invaluable for B2B marketers, as it helps determine whether your ad spend is delivering value and pinpoints where to allocate budgets for better results.
CPL can vary significantly depending on your audience, the quality of your offer, and how well your campaign is executed. Your own historical performance data is often the most reliable benchmark for assessing success [3].
To understand CPL better, it's helpful to look at benchmarks across different regions and industries. On LinkedIn, CPL can range from £12 to £280, depending on the market and sector [3]. For B2B marketers in the UK, the EMEA region's average CPL stands at £96 [3], aligning closely with the global average of £78 for LinkedIn advertising [17].
Here’s how CPL varies by region:
| Region | Average CPL |
|---|---|
| Latin America | £48 |
| Asia-Pacific | £64 |
| EMEA (including UK) | £96 |
| North America | £184 |
Industry-specific CPL also differs widely:
| Industry | Cost Per Lead |
|---|---|
| Corporate Services | £48 |
| Education | £51 |
| Media & Communications | £52 |
| Consumer Goods | £71 |
| Retail | £64 |
| Public Administration | £68 |
| Manufacturing | £80 |
| Finance | £80 |
| Software & IT | £100 |
| Healthcare | £100 |
| Transportation & Logistics | £104 |
| Hardware & Networking | £120 |
These figures reflect how targeting and market conditions impact lead generation costs. For instance, industries like corporate services and education often see lower CPLs, while sectors such as technology and healthcare face higher costs due to competition and the quality of leads required.
LinkedIn stands out as a platform for B2B marketers. It accounts for 80% of all B2B leads generated through social media [15], with conversion rates up to twice as high as those on other platforms [15]. Even with higher CPLs, LinkedIn's leads convert at a rate 2.8% higher than leads from other sources [20].
CPL benchmarks provide a solid foundation for improving return on investment (ROI). Regularly tracking your CPL can reveal which campaigns perform best and where budget adjustments could drive better results.
"If your average CPL exceeds $75, reassess your targeting accuracy and offer value. Start with refining your audience targeting before adjusting your offer." [15]
Several factors can influence CPL performance. Precise targeting and relevant offers reduce wasted spend, bringing down CPL [15][14]. Providing useful content, like industry guides or checklists, often attracts higher-quality leads at a lower cost.
Optimising campaigns is key to managing CPL without compromising lead quality. For example, LinkedIn Lead Gen Forms, which pre-fill with user profile data, can boost conversion rates by 22% compared to standard web forms [22].
Advanced targeting options on LinkedIn can further enhance performance. Features like Member Skills targeting help you reach high-intent prospects [17]. As marketing expert Alpana Kulkarni-Bhoge explains:
"LinkedIn lets you target prospects using their skills and certifications. This helps you reach high-intent prospects who are more likely to convert." [17]
Other advanced tools, such as targeting by Member Groups or Years of Experience, ensure your ads reach decision-makers instead of junior staff who lack purchasing authority [16]. Similarly, Locations (Permanent) targeting ensures your spend focuses on relevant markets [16].
A/B testing is another effective way to optimise CPL. Testing variables like headlines, images, copy, and calls-to-action can reveal what resonates most with your audience. Removing underperforming demographics and refining your audience further boosts campaign efficiency [21][17]. Retargeting campaigns can also lower CPL by engaging warmer prospects more effectively.
AI-driven tools are transforming CPL optimisation. Companies using AI for personalisation have seen up to a 30% improvement in lead generation success rates [22]. Additionally, AI-backed strategies have demonstrated a 70% reduction in CPL [19]. Platforms like Autelo can analyse campaign data to identify high-performing audience segments and recommend adjustments for better targeting.
Accurate CPL measurement depends on effective conversion tracking. Using LinkedIn's tracking pixel for retargeting [16] and implementing offline conversion tracking ensures you're prioritising leads that are more likely to convert [18].
Finally, budget allocation plays a crucial role in CPL performance. With 40% of marketers ranking LinkedIn as the most effective channel for generating high-quality leads [21], balancing your spend across channels can improve efficiency. Established accounts often achieve strong results with a 70% Search / 30% Performance Max split [18].
Tracking audience engagement is a key part of understanding how well your LinkedIn content is performing. Engagement rate measures how users interact with your posts - likes, comments, shares - and helps gauge whether your content is sparking interest and conversations.
Interestingly, LinkedIn engagement saw a 30% increase year-over-year, presenting both opportunities and challenges for B2B marketers looking to connect with their audience [24].
The average LinkedIn engagement rate by impressions in 2025 is 5.00% [24], offering a useful baseline for evaluating your content. However, engagement rates can vary depending on factors like content format, industry, and audience demographics.
Here’s how different content formats perform:
Engagement also differs across industries, as shown below:
| Industry | Average Engagement Rate |
|---|---|
| Government | 3.6% |
| Healthcare, Pharma, and Biotech | 2.8% |
| Real Estate, Legal, and Professional Services | 2.6% |
| Technology | 2.4% |
| Utilities and Energy | 2.4% |
| Financial Services | 2.3% |
| Education | 1.8% |
| Nonprofit | 1.7% |
| Media and Entertainment | 1.6% |
| Retail and Consumer Goods | 1.2% |
Marketing professionals generally view engagement rates between 1% and 3.5% as solid performance [23], but it’s essential to consider your specific industry and audience size when assessing results.
Katie Brown, Founder of Five Social UK, highlights the importance of connecting authentically:
"Increasing your brand presence in 2025 on LinkedIn will come down to having a more authentic, human approach to using the platform. Sharing stories and experiences rather than faceless graphics, stats and conference updates and creating deeper and more genuine connections with your audience." [2]
Similarly, Magali Mas D'Amato, Social Media Consultant, points to a shift in audience expectations:
"Brands can't afford to 'wing' socials anymore. They need to examine their holistic strategy, values, and how consumers interact with them to make sure they aren't drowning in a sea of noise. Chasing virality isn't a goal anymore; consumers expect to be prioritised and brands need to focus on connecting with them at a deeper level." [2]
Building on these benchmarks, AI tools can play a pivotal role in boosting LinkedIn engagement. B2B companies using AI have reported a 30% increase in marketing ROI, thanks to better personalisation and timing [26].
AI-driven content analysis can uncover patterns in audience behaviour, such as the types of posts they prefer, the best times to publish, and the topics that resonate most. With 80% of B2B marketers saying AI has improved personalisation, these tools are becoming indispensable [26].
Some practical ways to use AI for engagement improvement include:
Platforms like Autelo provide real-time insights and suggestions, helping marketers create content that truly speaks to their audience. For instance, Autelo’s AI Dashboard Assistant can analyse why certain posts performed well and offer actionable tips for improvement.
Diversifying your content is another effective strategy. Multi-image posts and native carousels excel at storytelling, breaking down complex ideas into digestible chunks [2]. Videos perform best when they hook viewers within the first 3 seconds, include subtitles, and are under 90 seconds long [2]. Polls, on the other hand, should focus on relevant industry trends or debates to encourage meaningful discussions [2].
Employee-generated content is also a powerful way to drive engagement. Sarah Clay, a Corporate LinkedIn Trainer, explains:
"In 2025, more so than at any other time, the value of human connection is high. By empowering their teams to use LinkedIn effectively, brands will see a huge uplift in their brand presence on LinkedIn. If brands want to really take their marketing seriously – and maximise their marketing budgets, they need to be supporting and training their employees to go out on LinkedIn as their ambassadors from their personal profiles." [2]
Consistency in posting and actively engaging with comments and shares is equally important. Tuesdays through Thursdays, particularly in the mornings, are often the best times to post on LinkedIn [25]. However, AI tools can help refine these timings based on your audience’s specific online habits.
LinkedIn's Message Ads and InMails give B2B marketers a direct line to prospects, enabling one-on-one communication that encourages engagement and drives conversions. These messaging tools, paired with standard ad metrics, highlight LinkedIn's potential for effective direct outreach.
Knowing how these methods perform is key to evaluating success and improving campaigns. It's worth noting that LinkedIn generates 80% of all B2B social media leads [27][28], making a well-thought-out messaging strategy essential.
The success of LinkedIn messaging campaigns hinges on two main metrics: how many recipients open your messages and how many click through to take action.
Message Ads and InMails typically achieve open rates of 38% and click-through rates of 3.6% [3]. However, results can vary depending on the format and level of personalisation.
Here’s how different LinkedIn messaging formats stack up:
| Message Format | Open Rate | Click-Through Rate |
|---|---|---|
| Message Ad / InMail | 38% | 3.6% |
| LinkedIn Conversation Ads | 50% | 12% |
| Sponsored InMail | 52% | Not specified |
LinkedIn Conversation Ads lead the pack, boasting open rates of 50% and click-through rates of 12% [3]. These ads stand out for their interactive nature, which fosters engagement and encourages action.
When compared to traditional email marketing, LinkedIn messaging formats hold their own. Sponsored InMail achieves an open rate of 52%, close to email marketing's benchmark of 57.5% [29]. However, LinkedIn often delivers higher-quality leads thanks to its professional targeting tools.
With these benchmarks in mind, let’s look at ways to improve your Message Ad and InMail results. Incorporating AI-driven personalisation can increase engagement by as much as 40%, according to recent campaigns [30].
AI plays a key role in refining direct outreach. By analysing recipient profiles, industry trends, and engagement patterns, it helps craft messages that resonate with specific audiences.
A case in point: HubSpot's Q2 2023 campaign. Targeting 10,000 SaaS decision-makers with AI-enhanced Sales Navigator tools, the campaign generated 215 qualified leads [30]. This success came from combining AI insights with targeted messaging to ensure relevance.
LinkedIn's own sales team also saw a 35% increase in pipeline generation by blending AI tools with human expertise [30]. This approach balances AI's speed and data analysis with the personal touch that B2B buyers value.
To boost your Message Ad performance, consider these strategies:
That said, it’s crucial to keep your messaging authentic. 62% of B2B buyers can spot AI-generated messages, so blending AI's efficiency with human insights is essential [30]. Messages that feel genuine and personal are far more likely to succeed.
Platforms like Autelo can simplify this process. By offering AI-driven insights and integrating with your customer data, Autelo helps create outreach campaigns that feel both relevant and personal.
The key takeaway? Strike the right balance between AI-driven optimisation and human authenticity. This combination allows you to scale your efforts while maintaining the personal connections that are so critical for B2B success on LinkedIn.
Return on Ad Spend (ROAS) is a critical metric for assessing the financial success of your LinkedIn campaigns. It measures how much revenue you generate for every pound spent on advertising, offering a clear view of your campaign's profitability. Unlike metrics that centre on engagement or clicks, ROAS ties your ad spend directly to revenue, making it a vital tool for B2B marketers who need to justify tight budgets and demonstrate tangible business outcomes.
Defining a "good" ROAS for LinkedIn campaigns can be tricky. While many marketers aim for a 4:1 ratio, a 2:1 ROAS might be more realistic depending on your business model and goals[31]. It's important to focus on what aligns with your company's growth stage rather than relying solely on industry benchmarks.
Here's a comparison of ROAS performance across different platforms to put LinkedIn into perspective:
| Platform | B2B SaaS ROAS | Overall Median ROAS |
|---|---|---|
| Google Ads | 1.63 | 3.52 |
| Facebook Ads | 1.67 | 2.21 |
According to Varos data, B2B SaaS companies generally experience lower ROAS across all platforms[31]. However, LinkedIn Ads often stand out for B2B marketers targeting high-level decision-makers, as they tend to deliver higher-quality leads compared to other platforms[3].
Tracking ROAS accurately on LinkedIn can be challenging due to the complexity of B2B buyer journeys, which often involve multiple touchpoints before conversion. AI tools are increasingly helping marketers tackle these challenges. In fact, 90% of B2B marketers express optimism about AI's role in improving measurement, with many reporting better ROI when using AI to optimise campaigns[33].
AI-driven tools can process large datasets to uncover patterns, offering actionable insights that simplify ROAS tracking. LinkedIn provides its own solutions, like the Conversions API (CAPI) and Revenue Attribution Report (RAR), which focus on Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQLs). These tools connect campaign performance directly to pipeline data for better targeting[33].
The impact of AI on ROAS optimisation is already evident. Clients working with LabsMedia, for instance, have seen an average ROAS increase of 35%[34]. Specific examples include Tom's Tech, which reallocated its budget to optimise underperforming campaigns and achieved a 40% boost in ROAS, and Sarah's Fashion Boutique, which used advanced targeting to see a 25% improvement[34].
For LinkedIn, AI is particularly effective at addressing the platform's unique challenges. Over the next five years, B2B marketers predict AI will play a major role in measuring ad effectiveness (53%), personalising content (52%), and providing predictive analytics (50%)[33]. Tools like Autelo are leading the charge, offering features such as an AI Dashboard Assistant to integrate customer data, identify performance gaps, and suggest actionable steps to improve ROAS.
To get the most accurate picture of your ROAS, it's essential to track all types of conversions. Remember, ROAS is distinct from ROI. While ROAS compares revenue to ad spend, ROI considers all marketing expenses involved[31].
As the adoption of AI in marketing continues to grow, with 92% of marketers expecting it to transform campaign measurement within the next five years[33], now is the time to leverage these tools. By embracing AI, you can maximise your LinkedIn advertising profitability and clearly demonstrate its value to your business.
The seven benchmarks - CTR, CPC, conversion rates, CPL, engagement rate, messaging performance, and ROAS - serve as a guide for optimising LinkedIn campaigns in 2025 across the UK. With LinkedIn holding its position as the go-to platform for B2B marketers (86% actively use it, and 44% rank it as their most important social media channel), understanding these metrics is key to staying ahead of the competition [35].
Benchmarking turns campaign data into actionable insights. By comparing their metrics to industry standards, UK marketers can quickly spot areas for improvement. This is particularly important given that LinkedIn ads drive a 33% boost in purchase intent and can achieve up to twice the conversion rate of other platforms [35]. These insights also pave the way for smarter, AI-driven campaign adjustments.
AI tools like Autelo are transforming how marketers analyse and enhance performance. Instead of manually sifting through spreadsheets, platforms like Autelo can pinpoint underperforming campaigns, suggest content tweaks, and offer predictive analytics. Features like the AI Dashboard Assistant allow marketers to ask specific questions about campaign performance and receive immediate insights on what worked, what didn’t, and how to improve. This streamlines the review process and strengthens data-driven decision-making.
For UK B2B marketers, quarterly reviews of benchmarks are a must - more frequent for campaigns with larger budgets. Comparing metrics to benchmarks, analysing key factors like targeting and creative, and experimenting with AI-driven strategies ensures campaigns stay relevant and effective as industry standards and platform features evolve.
The financial benefits of benchmarking are clear. LinkedIn ads deliver a 2–3× boost in brand perception, and 57% of marketers plan to ramp up their organic LinkedIn efforts in 2025 [35]. Additionally, data from over 70 B2B SaaS companies with £28 million in LinkedIn ad spend highlights the importance of using real-world performance metrics to define current benchmarks [32].
AI platforms like Autelo are game-changers when it comes to improving the click-through rate (CTR) of LinkedIn ads. By diving deep into audience data, Autelo enables precise targeting and helps marketers create personalised messages that truly connect with their ideal prospects. The result? Ads that feel relevant and spark genuine engagement.
But that's not all. Autelo also fine-tunes ad copy and visuals on the fly, keeping the content fresh and appealing. This dynamic approach ensures B2B marketers can build stronger connections with their audience, leading to higher CTRs and more effective campaigns overall.
To bring down LinkedIn ad costs without sacrificing lead quality, focus on boosting ad relevance and honing in on precise targeting. Experiment with various ad creatives, compelling headlines, and engaging calls-to-action (CTAs) to see what clicks with your audience. This not only improves your ad's Quality Score but can also reduce your costs.
Take advantage of LinkedIn's advanced targeting tools. For example, filter your audience by job titles, industries, or company size to zero in on key decision-makers. At the same time, exclude audiences that aren't relevant to avoid wasting your budget. Using manual bidding strategies and setting bids that are competitive yet controlled can further help you manage costs while keeping lead quality intact.
LinkedIn is often hailed as the go-to platform for B2B lead generation, and for good reason. Its targeting capabilities allow businesses to focus on specific industries, job roles, and professional demographics. This level of precision means you're reaching leads that are not just plentiful but also highly relevant and more likely to convert.
Yes, the cost per lead (CPL) on LinkedIn is typically higher than on other social platforms. But the payoff? It’s worth it. Research shows LinkedIn delivers over 200% more leads than its competitors and boasts a 62% lead conversion rate among B2B marketers. For companies that value quality over sheer volume in their lead generation strategies, LinkedIn proves to be a dependable choice.
