98% of business-to-business website visitors never submit a contact form, and therefore, traditional inbound lead capture methods are no longer effective. To understand what is lead generation in B2B today, it is necessary to transition away from passive data collection and move toward active, data-driven, intent mapping.
In this guide, we will outline how to use the modern pipeline workflow to create a content capturing system with operational handoffs, technical specifications, and conversion benchmarks that will allow for the creation of a highly predictable sales engine.
Key Aspects of the Strategic Shift in B2B Lead Generation
Lead generation in B2B is the systematic identification, attraction, and qualification of potential corporate buyers based on your target profile. The objective of lead generation in B2B is to advance a corporate buyer from an anonymous research phase to a sales-ready opportunity.
Historically, B2B lead generation has been focused on "gating" content behind a contact form and waiting for potential buyers to voluntarily provide you with their contact information. This is no longer effective with the way B2B purchasing is conducted today.
Business buyers conduct approximately 70% of their research prior to contacting a sales representative. Business buyers no longer prefer gated content, and instead prefer non-gated and easily accessible information.
Business buyers spend approximately 17% of their total journey time interacting with potential vendors. Business buyers spend the remainder of their total journey time conducting independent research and discussing possible purchasing options with colleagues in their company.
Due to the fact that there is an increasing amount of time that elapses between when a buyer becomes an anonymous researcher and when that buyer actually contacts a salesperson; successfully generating B2B leads today is reliant on using advanced visitor identification techniques and using first-party data.
The company that generates B2B leads must also find the best way to capture the buying signals for each potential buying account prior to receiving the prospective buyer's contact form.
As third-party cookies are becoming increasingly less valuable in today's digital landscape, modern organizations who are responsible for conducting sales will focus on accumulating first-party data from their own digital properties.
Attaining an accurate understanding of which web pages a corporate IP address visited on a website will assist in determining whether the visitor is a high-intent prospect for the product or service offered by the company.
For example, if a corporate IP address views a company's pricing page multiple times, or accesses a tech spec on the product several times, it is likely that the individual viewing the information has a strong interest in purchasing the product.
The information collected for corporate IP address visits can assist marketing teams in crafting highly targeted account-based retargeting campaigns. Additionally, sales development representatives will be able to use this same information to personalize their outbound communications.
The Evolution of Zero-Click Content
As search behaviors continue to evolve at an extreme rate, users are becoming increasingly reliant on artificial intelligence (AI) systems for answers to queries as opposed to clicking through to find information on a company's website. This is called the zero-click trend in content.
This trend represents the fact that many users are able to obtain answers to their queries through a search engine results page (SERP), thus eliminating the need for them to click through to the respective website.
To keep up with this trend, businesses must create content that is structured in a manner that allows AI engines to extract and attribute their business as a trusted source for information.
While creating a structure that meets the zero-click trend will decrease raw top-of-funnel website visitors, it will also greatly enhance the authority of the brand. Thus, when potential buyers eventually do follow through on a click through to the website, they will be much more likely to make an immediate purchasing decision.
Complete the B2B Lead Generation Pipeline Workflow in Order
To be effective, B2B lead generation process pipelines require a specific orderly flow of events with well-defined stages, as well as accountable and agreed-upon service level agreements (SLAs) between departments.
Identifying an Ideal Customer Profile (ICP)
Before any lead generation activities can begin, marketing and sales management teams should agree on the ICP. This will not be a vague description of an ideal customer; rather, it will include the following:
Firmographics: minimum annual revenue; target industries; number of employees; etc.
Buying committee: In enterprise selling situations, you are not typically only selling to one person. Your target buyer is a primary user who will evaluate the technical specification of your product and will also be the financial decision maker for this purchase.
If a prospect is not an ideal customer profile (ICP) they should not be provided with any active sales resources no matter how much content they download from your marketing site.
Intent Captured and MQL Created
The marketing organization's job is to fill the top of the funnel with target accounts and convert raw intent into MQLs.
This is done with a multi-channel strategy, utilizing both inbound marketing strategies (search engine optimization [SEO] and webinars) and outbound marketing strategies (social media advertising).
The MQL is the prospect that has expressed some meaningful interest in your offer. This could be a lead that attended an industry event, solicited a specific product demo, or generated a high-value visitor identification alert within your marketing automation platform.
When a prospect reaches the engagement level specified in the SLA, the marketing system routes the MQL to the sales development team.
Executing the SLA-Backed SQL Handoff
The MQL to SQL handoff is where most revenue engines fail to convert prospects into sales. Therefore, companies use a strict SLA for this MQL to SQL transition.
After receiving an MQL, the SDR uses the SLA to respond to the MQL as quickly as possible.
The SDR's role is to reach out to the MQL, validate that the MQL aligns with the company's ICP and ascertain that the MQL has the budget and timeline for the opportunity.
If the MQL satisfies all of these criteria, the SDR upgrades the MQL to an SQL and sets up an official discovery meeting with an AE.
If leads do not immediately buy a product or service, they are sent back to the marketing department where they will be automatically nurtured over a long period of time.
Real-World Conversion Benchmarks and Metrics
You need data to evaluate what lead generation means for your business in a B2B environment. Without baseline metrics, you cannot evaluate whether a specific lead generation channel is performing well or poorly.
Website and Audience Average Conversion Rates
The average conversion rate for an average B2B website is 2%, which means that of every 100 people who visit your website, 2 will take action on your offer and 98 will leave without taking action.
When evaluating B2B median conversion rates across all digital channels, the median is approximately 2.9%.
In contrast, top-performing companies frequently achieve conversion rates between 5% and 12% by rigorously filtering unqualified traffic and focusing exclusively on quality traffic and high-intent account engagement with their offers.
The Effect of Response Time on Sales
The speed to lead is the single most critical metric in the lead qualification process.
Data indicate that leads that are contacted within five minutes of submitting a lead are exponentially more likely to be qualified.
In fact, one industry report showed a 21-fold increase in the chance of qualification for ultra-quick responses.
Also, organizations that maintain a strict SLA for fewer than five-minute response times report a close rate of approximately 32% for those specific leads.
Moving Through the Funnel and Email Effectiveness
Moving a lead through the funnel from the time they agree to receive your email to the time they purchase your product or service can take considerable time and effort. The average lead-to-customer conversion for small and mid-market businesses ranges from 2% to 5%. For larger and more complex enterprise deals, the average lead-to-customer conversion is around 1.3%.
Cold email remains a very effective outbound channel and remains the foundation of many lead generation programs. The average open rate for a B2B sales email is around 21.3%.
However, the best performing campaigns that leverage both personalization and intent data can achieve open rates of approximately 43%.
In addition, referrals continue to provide a great source of revenue. Used correctly, referral leads convert into opportunities at a rate of between 25%-40%, well above the conversion rates experienced through cold outbound channels.
Setting Up the Technology Stack
To effectively generate leads in the modern era, companies require a properly aligned technology stack. When making decisions regarding software, companies should consider their data governance needs, average contract value, and whether they are using a product-led or sales-led model.
Intent Data and Visitor Identification Software
Waiting until someone fills out your form is a poor strategy. Today, revenue teams gauge their results using intent data and visitor identification software to identify 'anonymous' traffic on their website.
Leadinfo and ZoomInfo are two examples of software that facilitate these functions by allowing users to find out exactly which companies are visiting their website (based on IP address) and compare that information against global databases of businesses.
By using one of these software tools, an inside sales development representative (SDR) can determine that a targeted account spent ten minutes on a specific product page.
The SDR can then utilize the tools from a provider like Cognism or Apollo to find the contact information for the appropriate individuals within that exact company.
CRM and Automation Infrastructure
The CRM system should be regarded as the "single source of truth" for all information related to the sales process, and thus includes all of the company's pipeline structure. Companies typically store their pipeline structure in the CRM, either through HubSpot or Salesforce.
Using marketing automation software in conjunction with the CRM sounds like a good idea but requires a seamless integration. The integration of both systems ensures that any lead scoring models are automatically updated based on the behavior of prospects.
In order for an active outreach process to work effectively for B2B lead generation, sales teams must leverage engagement platforms such as Outreach or Salesloft.
Tools perform sequentially through email and dialer processes so that sales development reps (SDRs) can continue work at a productive level using structured, multi-channel communications with prospects while also keeping track of follow-up activities.
Artificial intelligence (AI) is now a standard aspect of every company’s technological stack and should be used for lead scoring.
Through the evaluation of historical transaction data, predictive AI can evaluate which action signals have proven to lead most successfully to close-won revenue.
When employed properly, predictive AI lead scoring results in significant increases in conversion rates from leads to revenue.
One dataset reported as much as a 93% increase in conversion rates as a result of the transition from manually assigned point systems to predictive scoring systems. Another dataset showed a 51% increase in lead progression to deal progression following the adoption of predictive scoring systems.
Finding and Fixing Pipeline Problems
Identifying and fixing places where your sales pipeline gets bogged down is as important as finding operational issues. Identifying and removing bottlenecks at an early stage can minimize wasted budgets and alleviate sales fatigue.
Elimination of Form Dropoff
Form drop-off is a significant contributor to buyer hesitance. Consumers are disinclined to download white papers if it requires the submission of a contact number and email.
The best way to overcome the issue of form fatigue is to “ungate” high-value content. All research, calculators, and frameworks should be available for free without requiring contact information in exchange.
The high-intent traffic generated from ungated content can be captured using visit-identification tools. This will establish buyer trust in the content provider while also providing your sales team with actionable company-level data that allows them to perform their outreach to the right companies.
Addressing Departmental Disagreement Regarding Lead Quality
The most frequently occurring instance of operational failure occurs when there is disagreement between sales and marketing as to the quality of leads. Marketing will always say they are hitting their lead volume goals, while sales will argue that those leads are totally unqualified.
This happens when the definitions for MQL and SQL are no longer aligned.
The operational solution is for the leadership team to establish a rigorous definition of a mathematics-based scoring threshold on an account.
If an account has a score of 85+, meets the firmographics in the ICP, then sales must accept and work the lead. Otherwise, marketing retains the lead for nurturing until a more appropriate time.
ROI from Multi-Channel Tracking
Tracking the return on investment from complex multi-touch buyer journeys is challenging, and organizations tend to over-credit the last step taken against the previously built months of brand education.
Instead, they should accurately attribute combined channel impacts.
There are many examples of real-life cases to support this need for multi-channel tracking. For instance, one OEM company utilized an integrated program including direct mail, email, event marketing, and teleprospecting +300% ROI. From the investment, they generated 140 highly qualified leads.
Similarly, a cleaning franchise had a 1500% return from their SEO efforts and a 200% return from paid search, which resulted in an overall 150% increase in lead volume.
Conclusion: Building a High-Converting Revenue Pipeline
B2B pipeline generation is no longer simply based on volume but must also reflect precision. Data has shown that in order to capture demand, marketers must identify early-engaging buyers and facilitate ultra-fast responses. Given that 98% of buyers will bypass traditional methods, companies that don't have a mechanism for identifying website visitors and first-party intent tracking will lose market share to those who do.
To be successful, companies must establish operational discipline. This includes establishing strict service-level agreements for response time, mathematically defining the MQL-SQL transition process, and deploying techniques using predictive AI for lead scoring. The key to building a high-converting revenue engine will be the total alignment between the marketing and sales operations.
Top-Level Executive Questions
What is the best speed for sales teams to respond to high-intent signals, and why?
The speed of the response will impact the likelihood of converting. The data is crystal clear. When a lead inquires, and a company contacts that lead within 5 minutes, it has a 21x increased likelihood of being qualified. Companies should develop automated routing procedures and enforce SDR service levels to ensure that high-intent signals are acted upon immediately—before the buyer moves to the competitor's site.
When sales and marketing disagree about a lead's quality, what leads to that situation?
Misaligned departments destroy velocity to the pipeline. When sales, say, reject leads from marketing, this almost always indicates an initial failure in the definition of the ideal customer profile or a subjective scoring of leads by marketing. To rectify this situation, a common and objective scoring system based on firmographics and specific behaviors must be developed by executives. Sales should only receive leads whose scores meet a mathematically agreed-upon threshold.
Why does zero-click content change traditional methods of lead capture?
Zero-click content moves the initial point of contact away from the company's domain and directly onto a search engine results page. While the overall volume of traffic from the top of the funnel decreases with a zero-click strategy, the buyers that do navigate to the website are highly prequalified. Marketers need to adapt to this by treating AI-overviewed content as real estate to build a brand, with an extensive reliance on all subsequent tools (visitor identification) to capture their engaged buyers that subsequently navigate to their core website.