Solutions · B2B · Lead Generation

Pipeline, not
MQL vanity.

Lead generation that stops at form submission is a factory for reports nobody trusts. We attribute lead activity all the way to closed revenue — and price the programme against that.

Commercial model

You sell to buying committees, not clicks.

Consideration takes weeks or months. Six people touch a decision. The person who fills the form is rarely the person who signs. Any attribution model that stops at the form is going to reward the wrong channels — and starve the ones that actually created the deal.

Why this hits revenue

MQL count is a marketing artefact. Pipeline is the P&L.

  • Sales teams disqualify most MQLs — the volume metric hides the yield collapse
  • Cost per SQL and cost per closed pound diverge sharply from cost per MQL
  • Brand and digital PR spend is systematically under-credited — the deals it warmed look free
  • Multi-touch pipeline attribution reveals which channels create pipeline versus which claim credit late
Audience & operating model

Who this is built for.

B2B businesses with a considered sale — technology, professional services, industrial, healthcare — where the marketing team hands leads to an SDR/AE structure. Typical stack is HubSpot or Salesforce, LinkedIn Ads, Google Ads, an SEO/content programme and an SDR function.

The real pipeline funnel

Demand to closed revenue — attributed, not assumed.

DemandMarketing-ownedSales-ownedRevenue
  1. 01
    Demand
    Paid, SEO, content, digital PR, outbound
  2. 02
    Enquiry / form submission
    Instrumented, deduplicated, routed
  3. 03
    MQL — marketing accepted
    Fit criteria applied honestly
  4. 04
    SQL — sales accepted
    Discovery held, opportunity created
  5. 05
    Opportunity in pipeline
    Stage-weighted expected value
  6. 06
    Closed revenue
    Reconciled to source, offer and touch
Success is measured on closed revenue and cost per closed pound, not on MQL count. Multi-touch pipeline attribution across the buying committee — evidence-supported, never a single-touch claim.
Typical growth leaks

Where the money and the pipeline drop out.

  • Paid demand optimised to form-fill CPA instead of SQL or pipeline value
  • Content and SEO treated as separate ecosystems from paid, with no shared attribution
  • SDR follow-up SLAs missed on the highest-intent leads
  • Sales and marketing running on incompatible definitions of qualified
  • Brand and digital PR spend not credited when it warms the deal
  • Lead routing that ignores territory, product line or ICP fit
Connected system

What Attributed builds.

Acquisition + Activation
  • Full-funnel paid, SEO and content built around named audiences
  • Landing page and form patterns optimised for SQL, not MQL
  • SDR/AE hand-off and first-response SLA rebuilt against conversion data
  • Sales enablement grounded in the top three objections you actually lose to
Retention + Intelligence
  • Attribution reconciled across form, CRM stage and closed revenue
  • Multi-touch pipeline attribution modelled honestly, not last-touch
  • Cohort views of pipeline conversion by source, ICP fit and offer
  • Weekly evidence graph shared with sales leadership, not just marketing
Senior operators own it

Who does the work.

A senior B2B strategist owns positioning and demand plan. A senior paid operator owns bid strategy against pipeline value. A senior RevOps voice owns CRM reconciliation and MQL/SQL definitions with your sales leadership. Nothing scales until the definitions are shared.

Findings, Recommendations & Alerts

What Intelligence surfaces for lead generation.

  • Findings — sources whose leads never become SQLs; SLA breaches on high-intent enquiries
  • Recommendations — bid changes, ICP scoring rebuilds, content gaps against active deals
  • Alerts — CRM stage stalls, MQL-to-SQL drop, first-response SLA breaches
  • Implementation Packs — MQL scoring rebuild, CRM reconciliation, pipeline attribution rollout
Implementation priorities

Where we go first.

  1. 1
    Reconcile CRM stages against source data

    Before touching media — sales has to trust the definition of MQL, SQL and closed revenue.

  2. 2
    Rebuild qualification and routing

    So sales trusts what they're getting, and routing reflects ICP fit and product line.

  3. 3
    Reshape paid targets from MQL to SQL / pipeline value

    Feed CRM outcomes back to the ad platforms so bidding optimises against pipeline, not forms.

  4. 4
    Add missing content and PR

    Support the deals sales is actually closing, not the personas the plan claims to target.

  5. 5
    Publish a shared, weekly pipeline attribution view

    One number marketing, sales and the board work from — with commercial commentary.

QA & validation

How we know it moved.

  • Every material bid or targeting change is scoped as an Implementation Pack with a success metric on pipeline value
  • MQL/SQL definitions are reviewed with sales leadership, not just marketing
  • Attribution changes ship with confidence bands and documented limitations
  • Wins and losses in the CRM are re-attributed against source and touch — the model learns
Success metrics

What we measure and report against.

Primary
Attributed pipeline value by channel
Efficiency
Cost per SQL and cost per closed £
Sales integrity
SQL rate, close rate, cycle time
Coverage
Pipeline coverage vs quarterly target
Connected system

MQL volume is not the goal.

Acquisition

Media targeted at accounts and buyers most likely to become SQLs — priced against pipeline, not clicks.

Activation

Forms, qualification and routing rebuilt so sales trusts what marketing sends across.

Retention

Won-account expansion and referral treated as a marketing programme, not a CS afterthought.

Intelligence

Lead activity reconciled all the way to closed revenue, with the drop-out at each stage visible.

Book a Growth Review.

Bring your CRM and paid platform access read-only. We'll walk through the reconciliation gap between MQL and pipeline in the session.