B2B Marketing is trapped in a quagmire of high-level concepts.
You have read the "thought leadership" articles and downloaded all the agency playbooks.
Yet when Monday morning arrives and you are faced with your revenue targets, your strategy stops short.
The gap between execution and reality is vast.
There is an abundance of generic advice about aligning marketing with sales, producing superior content, and focusing on the buyer's journey.
While these ideas sound good in meetings, they fail to provide real solutions.
What actually contributes to a company's sales pipeline?
How do you activate intent signals in a way that minimizes your customer acquisition costs?
Who is responsible for completing weekly tasks?
These are the blocking points that inhibit the growth of a company on its way to scale.
To overcome these challenges, B2B marketers require an operational process that converts strategy into immediate, measurable action.
This is the method that can be utilized to fill that gap (Execution Gap).
Short takeaway: C-level perspective
Before allocating future resources, it is essential to know what timeline and cost expectations will come from this activity.
Organizations will not approve a budget for an approach that guarantees an eventual pipeline.
The following are baseline expectations of the model based on aggressive implementation within mid-market companies and growth-oriented enterprises.
Projected time required to build pipeline
First qualified intent signals will be generated within 8–12 weeks.
Full sales cycle impact
This should typically be seen within two full sales cycles (the average length of a B2B sales cycle is 4–6 months).
Resources needed
One person dedicated to demand generation, one content manager, and part-time support from a sales development representative (SDR).
End result focus
Lower lead-to-opportunity conversion time, higher pipeline velocity created by intent-driven signals.
Do not try to implement a full rollout of your organization unless you can commit to the following basic resources for at least a 90-day period before attempting it; instead, start with a pilot program within one location.
Why do the majority of standard growth playbooks fail?
The majority of top-rated guides and downloadable playbooks are essentially re-packaged content marketing and not true methodologies, which ultimately leads to their failure.
A playbook, for example, gives you a common sequence including a generic problem, strategy, tactical action items, and tools, but does not provide an actual breakdown of data behind them.
Nor does it clarify where the frictions, procurement software challenges and inconsistencies exist between your current CRM system and your new intent data system.
So, while most playbooks make claims of lowering your customer acquisition costs (CAC), they do not provide you with any data to validate those claims.
As a result, most B2B marketing strategy frameworks are interchangeable due to the generic content that they contain.
A playbook does not provide you with clear sequences of implementation steps to take.
It will not tell you the person responsible for each of those tasks to be completed each week of the month.
It is also not designed to be a tool used for measuring and managing sales activity over long periods of time through detailed cohort analysis of customer behaviour; they focus primarily on lead volume as a short-term performance metric or 'vanity metric'.
'Vanity metrics' such as high lead volume and low intent are more harmful than helpful.
If you have a consistent flow of leads but no buyer intent, then you are wasting an SDR's time and draining their enthusiasm.
If you are trying to build meaningful market momentum, you need to focus on specific operational details instead of big picture strategies.
The Marketing Catalyst Framework can provide your organization with the tools and principles needed to create a B2B marketing growth engine that drives predictable revenue growth.
The Marketing Catalyst Framework operates on a continuous cycle of feedback to improve the organization's sales and marketing process.
Strategies define the targets; operational discipline defines the results.
This model eliminates unforeseen guesswork when determining which channels to invest in and creates a one-to-one correlation between your marketing investment and sales capacity.
Section A: The operational decision matrix
There's no single tactical approach that works for every Stage of the Company's life cycle.
To deploy Enterprise-Level Account-Based Marketing (ABM) at 2M+ARR is a sure way to quickly run out of cash!
You NEED to match your Strategic Tactics with both ARR and Buyer Cycle.
Companies with $0-$5M in ARR need to focus on Efficient Use of Resources.
They can't afford to pay for expensive 3rd party Intention Platforms, therefore YOUR matrix should be content-led SEO (organic search engine optimization) and founder-led outbound (i.e. Sales).
The objective is to Capture EXISTING Demand by creating high-quality, Intent-Based Content for Bottom-Of-Funnel Prospects and to Keep your Headcount to a Minimum.
Companies that are Between 5M and 15M ARR Have a Different Problem.
The ‘Founder-Led Motion’ Has Broken Down and Your Matrix Will Begin to Change As Well.
At This Level, Your Matrix Will Include the Integration of Intent Data Into Your Account-Based Marketing (ABM) Pilots.
You Have Ample Baseline Traffic to Quantify 0-Party & 1st-Party Intention Signals, Which allows You to Direct Your Expanding SDR Team to Focus on the Accounts Exhibiting Active Research Behavior.
From 15M To 50M ARR +, The Marketing Game Is About Signal-To-Noise Ratios.
Enterprise Marketers Need Significant Amounts of 3rd Party Intent Integrations.
Therefore, Their Decision Matrix Will Include a Multi Touch, Multi-Channel ABM Methodology in Which Marketing Diverts Time/Resources on Platforms like LinkedIn, Programmatic Display, and Direct Mail While Sales Executives Conduct Highly Personalized Outreach To Buying Committee Members.
Section B: The execution model
All Models Are Only As Valuable As Their Real-World Application Over The Course Of Each Week.
The 5 Stage Progression Describes How To Sequence Your Internal Operations.
Phase 1: Goal calibration/resource mapping
Don't Start By Selecting Channels.
Begin with your revenue target and work backward.
If you have set a goal of $2M in new pipeline for the quarter with a 20% historical win rate, you will need $10M in qualified pipeline.
To hit that $10M with an average deal size of $50,000, you will need 200 qualified opportunities.
Identify each resource required to create the 200 qualified opportunities.
Who is creating lists? Who is composing email outreach? Who is producing digital advertisements?
Each deliverable should have a specific person assigned to it.
Tasks without an assigned owner will ultimately not get completed.
Phase 2: Harvesting intent signals
Intent signals are key to modern B2B revenue growth; however, they can be extremely noisy.
Therefore, you must leverage multiple signal sources to identify true buyers as opposed to someone simply performing research.
Initially, use only first-party signals: i.e., visits to a company's pricing page, downloads of high-value case studies as well as attendance at multiple webinars.
All three of these activities give you a high degree of signal fidelity.
Next, layer on third-party intent signals from service providers like 6Sense, ZoomInfo, or Bombora.
Search for account-level spikes in relevant research topics.
The single most important part of this process is determining the "trigger" level.
A single spike of intent signals will be considered noise; however, a cluster of unified spikes from multiple individuals in the same account, coupled with a visit to your pricing page, becomes a viable intent trigger signal.
RevOps or Demand Generation should be responsible for establishing these trigger definitions.
Phase 3: Activation tactics based on targeted accounts
After you identify a "buying committee," surround that committee through multiple avenues.
Do not rely solely on one method of contact.
Upon identifying the account that you want to target for activation, immediately develop IP-targeted display ads and contact-targeted LinkedIn campaigns.
All communication relating to an account's intent signals should be extremely precise and focused on the issue expressed in the intent signal.
Also at this phase, the SDR team has begun its outreach campaign.
Unlike with typical cold outreach, outreach from a higher-quality source (such as the SDR team) will reference explicit topics that an account has expressed wanting to research.
The marketing team provides awareness; the Sales team makes the move to do something about it.
Performance marketing also owns the execution of advertisements while SDR management owns the metrics regarding their outreach efforts.
Phase 4: Nurturing full funnel
While an account may indicate clear intent, it doesn't mean that they are ready to purchase right now.
Procurement cycles may still be six month away.
If an account enters a no-contact phase or pushes back the timeline for the purchasing decision it will move from an outreach sequence into the nurture sequence.
Most nurture programs involve simply sending them direct marketing materials every Tuesday.
This needs to stop.
Nurturing an account is about providing value - maintaining authority over your brand.
You should send the account research, invite them to attend private roundtable discussions with their peers, and provide them with useful templates that they can leverage in their daily operations.
The responsibility for this phase of the nurturing process falls to the Content Lead to ensure that the asset quality remains very high so that when the buyer reopens their purchasing window, your brand is their default choice.
Phase 5: Measuring & cohorting analysis
One cannot optimize if one is measuring a lead volume over time without cohorting those leads into specific groups.
Review of leads month-by-month can be misleading.
Cohorting leads on the same timeline creates much more usable information for you in creating and implementing your optimization strategy.
For example, look back to the accounts in your pipeline from Q1.
How many of them had advanced to an opportunity by the end of Q2?
What was the closed-won ratio of those accounts by Q3?
The only way to understand the true velocity of your pipeline is through conducting cohort analysis.
Dashboards that indicate the cost of acquiring customers versus their lifetime values (LTV), the rate at which leads are generated (lead velocity), and how long it takes to create a pipeline for each intent source must be established by RevOps.
Dashboards will determine how much budget will be allocated to which marketing activities in the next quarter.
90-day pilot program
A quick fix for your marketing operation won't work; the most likely cause of failure will come from internal push-back that halts the progress of your transformation before you have had the chance to see results.
The best approach is to run a short, focused, 90-day pilot.
Weeks 1 and 2: Intent audit and agreement
The first two weeks of the project should be made up entirely of data gathering and agreement between the Sales and Marketing departments.
You will audit the data in your existing CRM system and establish a targeting list for accounts that will be included in the pilot program.
To correctly implement the new technology that you will be using to identify account leads, you must work with your RevOps lead to set up the technology to track the three most important keywords that are related to your product category.
It is essential that all parties, particularly the Sales and Marketing departments, agree on the definition of a Sales Qualified Lead (SQL) before the start of your pilot program.
If you cannot achieve this, you will be setting yourself up for a turf battle between the two departments regarding lead quality and it will put your entire initiative in jeopardy.
Weeks 3 to 6: Micro-listing and content mapping
Once you have set up your tracking system, you can begin creating your initial micro-list.
To do this, identify the 50-100 accounts with the greatest amount of active signals.
At the same time, your content department should be auditing your existing content to find the correct pieces to associate with the 50 accounts.
You will map your case studies, white papers and blog posts against the specific buying stages of each of these accounts.
For example, if an account is conducting research on a timeline for implementing your solution, you should not send them a broad thought leadership piece, but rather a technical checklist outlining the steps for deploying your solution.
If there are any assets that do not currently exist, you should create them to fill in any gaps that exist within the customer's journey.
Weeks 7 to 12: Beginning revenue generation via paid campaigns and iterative adjustments
Activate the machine.
Launch targeted LinkedIn campaigns directed exclusively to your target accounts identified via your micro-lists.
In week seven, your outbound sales reps will initiate their warm outreach using the content mapped in map 1 as the basis for their communication.
You will begin receiving some engagement statistics by week nine.
Some messaging strategies will work better than others.
Aggressively iterate through advertising spend during weeks 10-12 as a result of the initial engagement results you received in week 9.
Move your budget away from low-performing ad creatives.
Refine SDR email subject lines based on their open rates.
By the end of day 90, you should be able to present an accurate calculation of cost per opportunity to your executive team.
Establishing your KPI dashboard
You can't fly an airplane without a dashboard to tell you how you are doing, so therefore, you should create one.
Your revenue team should create a master spreadsheet or attribution software dashboard that will be reviewed each week.
Your KPI Dashboard should allow you to separate leading from lagging indicators.
Combining leading and lagging indicators can lead to premature budget cuts.
Leading indicators
Leading indicators are metric that help to understand if the "engine" is functioning as intended or not.
You should track the total amount of high-intent accounts on a weekly basis.
You should monitor how many people engaged via your advertising during a targeted campaign.
You should monitor how many emails were opened and responded to by your SDRs.
If your numbers continue to grow and expand, you'll soon see a growth in pipelines and business.
If the intent volume of the advertisement is high and there was no engagement, it is a sign that the advertisement's creative is not working.
If there is a high volume of advertisement engagement and no responses from SDRs, there is an issue with how sales reps are communicating with the prospects.
Lagging indicators
Lagging indicates the financial feasibility of your framework.
To analyze the conversion rate from Lead to Opportunity for the pilot group, determine how long the average time from entering the micro-list until being identified as Qualified Opportunity.
In addition to monitoring time to Pipeline, measure the marginal cost of generating one SQL from the Operative Intent-driven model compared to the typical Inbound model.
If the Operative Intent model has higher marginal costs than the Inbound model, the average deal size (or close rate) must be proportional to the difference in marginal costs.
Case study: Scaling a $10M ARR SaaS
In the real world, there can often be more friction when you translate theory into practice.
This is experienced when trying to implement these concepts within a real-world context and analyzing friction points to deploy them.
In this instance, we examine a scaled case scenario for a SaaS company in the middle market that has already grown to $10M ARR, but hit a maturity plateau.
The previous operation of using broad SEO and generic webinars for inbound and abandoned prospects had been at capacity.
CAC continued to rise.
Recognising this, Sales had begun rejecting 80% of all inbound leads that were brought to them as being "not qualified".
They put together a strict 90-day pilot-to-pilot based on this operating model for the initial timeline.
Friction points that were experienced during this period started to show themselves immediately during weeks 1 and 2.
Management from Sales had a large number of rejected intent-driven micro-lists sent to them because they thought the account criteria was too narrow; and had to take the time to pause and talk with several top-performing Account Executives from Marketing about adjusting the target parameters for the accounts.
This effort was completed by Week 4.
They successfully launched a very targeted, intent-driven ABM movement with only 75 enterprise accounts.
They mapped every content asset to common objections raised by those accounts based on historical data.
The evidence for the response of the intent-driven motion was very strong.
Although there was a drop in overall lead volume by 40% versus the broad inbound days, the quality of their leads shot up.
Their lead-to-opportunity time decreased by three full weeks.
They also generated a 22% lift in SQL conversion rates from the targeted micro-list compared to historical averages, showing that precision is worth more than volume when it comes to revenue generation.
In summary
B2B Growth is not magic nor is it based on one magical tactic; it is simply a by-product of having operational rigor.
There is an abundance of high-level advice available to the market that sounds persuasive but really adds no practical value.
The path to faster revenue production requires rejecting the theories that generate such advice.
You must ensure that you create tight alignment between sales and marketing based on the signals from data and how they relate to sales actions.
This means allocating resources based on your unique company growth stage, building granular execution plans, and evaluating your success based on cohort velocity versus lead counts per day.
Businesses that view marketing as an abstract branding activity will continue to spend money.
Businesses that view marketing as disciplined and intended to drive business results will gain market share.
Law firms are a clear example of this divide — those that treat their marketing efforts in law firms as a disciplined, intent-driven system consistently outperform firms that rely solely on referrals and sporadic ad spend to fill their pipeline
Frequently Asked Questions (FAQs)
When you implement an operational structure, it typically uncovers hidden yet very real internal constraints on your organization.
Here is a summary of the most common.
How reliable is third-party intent data for enterprise deals?
Third-party intent data serves as a directional compass to assist in driving awareness; it is not a crystal ball.
If you rely solely on the surge data from one vendor, you will likely see false positives in your pipeline.
The reliability of this data increases significantly through cross referencing various sources.
The only time a surge from a third-party intent signal indicates a high level of certainty, is when the surge coincides with your internal engagement metrics and with the historical closed-won data associated with similar accounts.
In effect, third-party intent data should be a prompt to investigate an account further, not an indication that you are ready to contract with that company.
What is the required headcount for running this framework in the company?
You will not be able to successfully operate this program with only one general marketer.
At a minimum, you will need a technical marketer that understands the structure of a CRM and the routing of data (i.e. RevOps/Demand Gen), a strategist who will develop specific messaging and related assets (i.e. Content Lead), and an individual who will provide the selling support necessary (i.e. SDR).
Attempting to have one person manage all three roles will lead to a significant decline in lead quality, and ultimately, a malfunctioning system.
When will we see an increase in the qualified pipeline?
Be patient, but do not blindly trust.
You should start seeing signs of improvement in your leading indicator metrics (i.e. increase email response rate, increased engagement with accounts) approximately 30 to 45 days into the program.
However, the actual measurement of qualified pipeline growth typically takes between 8 and 12 weeks.
If you complete a 90-day pilot program, and do not see a change in your pipeline, you should not attribute the absence of change to the sales cycle length.
Either your targeting is incorrect, or the messaging you sent to accounts does not match the companies' pain points.
