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  • Writer's pictureSteffan Willis

Measure Everything! A Complete Guide to Digital Marketing KPIs for B2B Success

Updated: Apr 19, 2023

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In the world of B2B marketing, the adage "you can't manage what you can't measure" rings truer than ever. With a myriad of marketing channels and tactics at our disposal, it's critical to track the right digital marketing KPIs (key performance indicators) that truly align with your business objectives. This comprehensive guide aims to help you navigate the complex landscape of KPIs, understand the controversies surrounding metrics and ROI, and grasp the impact of AI-generated content on B2B marketing. So, buckle up and let's delve into the world of data-driven B2B success.

Establishing B2B Digital Marketing KPIs

Setting goals and objectives

Before diving into the ocean of KPIs, it's essential to establish clear goals and objectives for your B2B digital marketing efforts. Be it increasing brand awareness, generating leads, nurturing prospects, or driving sales, each goal requires specific KPIs to measure success. Remember, your objectives should be SMART – Specific, Measurable, Achievable, Relevant, and Time-bound – to set a solid foundation for your digital marketing strategy.

Identifying relevant KPIs and performance metrics

Once your goals are in place, the next step is to identify the KPIs that align with these objectives. Focus on selecting KPIs that actually translate into actionable insights, rather than simply opting for vanity metrics that might look good on paper but fail to deliver meaningful insights. It's crucial to choose the right mix of KPIs to ensure that you're getting a holistic view of your B2B marketing performance.

Aligning KPIs with business outcomes

Lastly, ensure that your chosen KPIs align with your overall business outcomes. While some KPIs may provide useful insights at a granular level, always keep the bigger picture in mind and focus on the metrics that have a direct impact on your bottom line. It's all very well generating traffic to your blog, but if that doesn't translate into in-bound leads then you may need to rethink your strategy.

Key Digital Marketing KPIs for B2B

Traffic and engagement metrics

  1. Website traffic: A fundamental KPI, website traffic helps gauge the effectiveness of your online presence. Track unique visitors, page views, and sessions to understand how your target audience is engaging with your site and content.

  2. Bounce rate: Bounce rate measures the percentage of visitors who leave your site after viewing just one page. A high bounce rate could signal issues with website design, content quality, or user experience.

  3. Time on site: Time on site reveals the average duration visitors spend on your website. Higher time on site typically indicates increased engagement and interest in your content.

  4. Conversion rate: Conversion rate measures the percentage of website visitors who complete a desired action, such as signing up for a newsletter, downloading a whitepaper, or requesting a demo. Higher conversion rates signify greater effectiveness in turning visitors into leads or customers.

Lead generation and nurturing metrics

  1. Lead volume: The total number of leads generated through your marketing efforts is a critical KPI for B2B businesses. Track lead volume to assess the effectiveness of your lead generation strategies.

  2. Lead quality: Not all leads are created equal. Measure lead quality by evaluating factors such as lead source, lead-to-MQL (marketing qualified lead) conversion rate, and lead-to-SQL (sales qualified lead) conversion rate.

  3. Lead conversion rate: Track the percentage of leads that convert into MQLs and SQLs to gauge the effectiveness of your lead nurturing strategies.

  4. MQLs and SQLs: MQLs and SQLs are vital KPIs that help evaluate the quality of leads generated by your marketing efforts. MQLs are leads deemed more likely to become customers based on their engagement with your content, while SQLs are leads that have been vetted by your sales team as potential customers.

Content marketing metrics

  1. Content engagement: Measure the effectiveness of your content marketing by tracking metrics such as time spent on page, scroll depth, and social media interactions (likes, comments, shares) to gauge audience engagement.

  2. Content reach: Assess the visibility of your content by tracking impressions, unique visitors, and organic search rankings. This helps determine whether your content is reaching the intended audience.

  3. Social media shares: Social media shares are a useful KPI for evaluating the shareability and resonance of your content with your target audience. High share counts indicate that your content is striking a chord with readers and has the potential to go viral.

  4. Backlinks and SEO performance: Backlinks – when other websites link to your content – are a significant factor in determining your site's search engine rankings. Monitor the number and quality of backlinks to your content, as well as your overall SEO performance, to ensure your content is discoverable by your target audience.

Email marketing metrics

  1. Open rate: Open rate measures the percentage of recipients who open your emails. It's a fundamental KPI for gauging the effectiveness of your email subject lines and sender reputation.

  2. Click-through rate (CTR): CTR measures the percentage of recipients who click on a link within your email. A higher CTR indicates more engaging email content and effective calls-to-action.

  3. Unsubscribe rate: The unsubscribe rate tracks the percentage of recipients who opt-out of receiving future emails from your brand. A high unsubscribe rate could signal issues with email frequency, content relevance, or targeting.

  4. ROI of email campaigns: Assess the return on investment (ROI) of your email campaigns by comparing the revenue generated through email marketing to the costs associated with running the campaigns. A higher ROI indicates a more effective email marketing strategy.

Paid advertising metrics

  1. Click-through rate (CTR): CTR is a critical KPI for paid advertising campaigns, as it measures the percentage of users who click on your ads. A higher CTR suggests more effective ad copy and targeting.

  2. Cost per click (CPC): CPC tracks the average amount you pay for each click on your ads. Monitoring CPC helps ensure that your ad spend remains within budget while maximizing returns.

  3. Conversion rate: Similar to website conversion rate, this metric measures the percentage of users who complete a desired action after clicking on your ads. A higher conversion rate indicates more effective ad targeting and landing page design.

  4. Return on ad spend (ROAS): ROAS calculates the revenue generated through your paid advertising campaigns relative to the amount spent. A higher ROAS signifies a more efficient and profitable ad strategy.

Controversies in B2B Digital Marketing KPIs and ROI

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Vanity metrics vs. actionable metrics

A heated debate exists between vanity metrics – metrics that look impressive but don't provide actionable insights – and actionable metrics, which drive decision-making and improve marketing performance. Avoid the temptation to rely solely on vanity metrics and instead focus on actionable metrics that contribute to your business objectives.

Short-term vs. long-term ROI

Another controversy in B2B digital marketing revolves around prioritizing short-term ROI over long-term growth. While it's essential to generate immediate returns, neglecting long-term strategies can hinder sustainable business growth. Strive for a balance between short-term gains and long-term investments in marketing initiatives.

Attribution modeling challenges

Attribution modeling – the process of determining which marketing channels contribute to conversions – remains a complex challenge in B2B marketing. With multiple touchpoints in the buyer's journey, pinpointing the exact value of each marketing channel can be a daunting task. Adopt a multi-touch attribution model to better understand the role each channel plays in driving conversions and make more informed marketing decisions.

Balancing qualitative and quantitative metrics

The debate between qualitative and quantitative metrics highlights the need to find a balance between hard numbers and subjective feedback. While quantitative metrics provide data-driven insights, qualitative feedback can offer invaluable context and understanding of your target audience's preferences and pain points.

Exploring both sides of the controversy

Understanding both sides of these controversies can help B2B marketers make informed decisions about their marketing strategies. Be open to diverse perspectives and adjust your approach accordingly to maximize marketing effectiveness.

Recommended course of action for B2B marketers

B2B marketers should focus on actionable metrics, prioritize a balance between short-term and long-term ROI, implement multi-touch attribution models, and combine quantitative and qualitative insights to drive marketing success.

The Impact of AI Content on B2B Digital Marketing

How AI is changing the content landscape

The explosion in AI tools and AI-generated content is revolutionizing B2B digital marketing by automating content creation, personalization, and optimization. As the use of AI becomes more sophisticated, marketers are able to produce content quickly and efficiently, freeing up time and budget to focus on strategy, innovation and ideation.

The evolving value proposition of content types

However, these tools also affect the concept of value exchange, where marketers provide valuable content and receive attention or personal information from the reader. As AI tools reduce the marginal value of generic content, marketers must invest more in creating high-value, unique content to ensure a fair value exchange and continued engagement.

The growing importance of data-driven marketing strategies

As AI continues to reshape the B2B marketing landscape, data-driven strategies will become even more critical for success. Harnessing the power of AI and machine learning, marketers can analyze vast amounts of data to uncover hidden patterns, trends, and insights that inform smarter marketing decisions. Structured data and insights repositories - something we call Knowledge Banks - enable the generation of unique, relevant content that leverages existing research, insights, case studies, expert interviews and more.

Strategies for Creating High-value Content

  1. Tailor content to the target audience: Address the needs and concerns of decision-makers and opinion formers within the target audience by developing content that is informative and engaging.

  2. Conduct in-depth research and analysis: Provide unique insights and information through thorough research, including interviews with industry experts.

  3. Offer access to unique data: Commission surveys, use proprietary data, or build unique datasets through web scraping to provide valuable information that can't be found elsewhere.

The Benefits and Risks of AI Content

High-value content establishes companies as industry leaders, builds trust and expertise, and can be used for PR campaigns. As an example, ADP, a HR services provider, runs the ADP Research Institute. The institute publishes timely, relevant research on labor markets anf workplace trends. These are valuable insights and strengthen the company's position as an expert in these topics.

In contrast, low-value, generic content can cause lasting brand damage, eroding trust and creating a negative perception of the company. It is crucial for companies to think about the value exchange between them and their audience when producing content and ask is this article providing useful information, an alternative perspective or novel data?

Adapting to the changing B2B marketing landscape

To thrive in this new landscape, B2B marketers must adapt and embrace AI-generated content, invest in data-driven marketing strategies, and prioritize creating engaging, high-quality content that stands out in a crowded marketplace.

Holistic Performance Measurement in a Fragmented Landscape

Combining KPIs across platforms and channels

In today's fragmented marketing landscape, it's essential to combine KPIs across various platforms and channels to obtain a comprehensive view of your marketing performance. By integrating data from multiple sources, you can uncover insights that inform more effective marketing strategies.

Overcoming walled-garden challenges

Walled gardens, such as Google, Facebook, and Amazon, are marketing ecosystems where publishers handle all the buying, serving, tracking, and reporting within their closed systems. They employ self-serve dashboards, harness first-party data, and in 2020, accounted for 71% of the US digital ad spend. This dominance has led consistent falls in ad spending on the open internet ad spend, from 47% in 2017 down to 29% in 2020.

Despite their benefits in terms of audience targeting, walled gardens can pose measurement and performance challenges. It is often difficult to access and analyze data across platforms, due to limits on data sharing and interoperability. It is possible to overcome some of these challenges by employing third-party tools and workarounds that enable you to extract and consolidate data from multiple sources.

Implementing effective cross-channel attribution models

Cross-channel attribution models are essential tools that help marketers understand the impact of each marketing channel on their overall performance. By attributing conversions or desired actions to specific marketing touchpoints across multiple channels, these models provide a comprehensive view of how marketing efforts contribute to a company's objectives. Various attribution models exist, such as last-touch, first-touch, linear, time-decay, position-based, and data-driven attribution, each with its strengths and weaknesses.

The benefits of implementing cross-channel attribution models include a clearer understanding of the customer journey, more effective resource allocation, and the ability to prioritize high-performing marketing channels. By analyzing the performance of each touchpoint, marketers can optimize their marketing mix to drive better results and maximize ROI.

To select and use a cross-channel attribution model, marketers must first analyze their marketing channels and touchpoints, evaluate the customer journey, and align the chosen model with their marketing goals and objectives. Once the most suitable model is selected, it's crucial to implement it consistently across marketing channels, possibly using specialized tools or analytics platforms. Continuously monitoring and refining the chosen model will help optimize its accuracy and relevance, ultimately enabling data-driven decision-making that drives marketing success.

Example: Enhancing Marketing Insights with Cross-Channel Attribution:

Imagine you are running a B2B software company and have launched a marketing campaign across Google Ads and Facebook Ads to drive leads for your product. A potential customer interacts with your ads on both platforms before eventually converting by filling out a contact form on your website.

Here's a simple example of applying a cross-channel attribution model to understand the impact of your Google and Facebook campaigns:

  1. Last-touch attribution: In this case, let's assume the customer clicked on a Facebook ad before converting. The last-touch attribution model would credit the entire conversion to Facebook, as it was the final touchpoint before the customer filled out the contact form.

  2. First-touch attribution: Suppose the customer first discovered your product through a Google ad. The first-touch attribution model would credit the entire conversion to Google, as it was the initial touchpoint that introduced the customer to your brand.

  3. Linear attribution: This model would distribute credit equally between Google and Facebook, as both platforms played a role in the customer's journey. If the conversion is worth $100, both Google and Facebook would receive $50 credit each.

By evaluating the effectiveness of your marketing campaigns using cross-channel attribution models, you can gain insights into how each platform contributes to your objectives. In turn, you can optimize your marketing strategy and allocate resources more effectively across Google and Facebook.

Using data to drive marketing decisions and budget allocation

With a holistic view of your marketing performance, you can make data-driven decisions on budget allocation, channel prioritization, and strategy adjustments. By continuously monitoring your KPIs, you can identify opportunities for improvement and drive better results.


Measuring everything in your B2B digital marketing efforts is the key to unlocking success. By focusing on actionable KPIs, balancing short-term and long-term ROI, embracing AI-generated content, and maintaining a holistic approach to performance measurement, you can make informed marketing decisions that lead to sustainable growth. Don't shy away from the complexity of today's marketing landscape – embrace it, and let data-driven insights guide your path to B2B marketing success, even in the era of walled gardens.

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