B2B & Lead Generation · Growth problem
SQL-to-customer conversion is low
Once a lead has been accepted as sales-qualified, the constraint moves from marketing's territory into sales, pricing, proposition and competitive positioning. A low win rate from SQL to closed-won is rarely fixed by generating more leads; it usually requires understanding where deals are actually being lost and to what.
Symptoms
What this usually looks like
- Win rate from SQL or opportunity to closed-won has fallen over recent quarters
- A growing share of opportunities are lost to 'no decision' rather than to a named competitor
- Deals are increasingly lost late in the process, after significant sales investment
- Win rate varies substantially by sector, deal size or sales rep
- Discounting has increased to close deals that would previously have closed at list price
Diagnostic questions
What we would test first
- Segment SQL-to-close win rate by sector, deal size, sales rep and source over recent quarters
- Audit loss reason data quality and re-categorise where reps have defaulted to vague reasons
- Interview recently lost prospects where possible, or review lost-deal notes for patterns
- Analyse stage-to-stage progression time to find the specific stalling point
- Compare win rate for multi-threaded versus single-contact deals
- Review discount trend on closed-won deals over time
Root causes
Why it happens
- 01
The proposition or positioning no longer matches buyer priorities
If the market's buying criteria have shifted (price sensitivity, a new must-have feature, a changed regulatory context) and the proposition hasn't kept pace, prospects that were genuinely qualified at SQL stage may simply choose a better-fitting alternative.
- 02
Pricing or packaging creates friction late in the process
Deals lost after significant sales investment, particularly to 'no decision', often reflect pricing structures that are hard for the buyer to justify internally, rather than a competitive loss.
- 03
Proof points don't match what this buying committee actually needs
Case studies and evidence built for one buyer persona (often the economic buyer) may not answer the risk and validation questions technical or procurement stakeholders raise later in the process, stalling deals that looked strong at SQL stage.
- 04
Competitive differentiation is unclear or unverified
If sales cannot articulate a specific, evidenced reason to choose this business over the two or three alternatives every buyer is evaluating, deals default to price competition or incumbent inertia.
- 05
The sales process doesn't match the buyer's internal process
A sales process built around a single decision-maker breaks down when the actual buying process requires sign-off from finance, procurement and technical evaluators the sales process doesn't account for.
- 06
Follow-up and deal management discipline has slipped
Opportunities that go quiet for extended periods without proactive follow-up decay; a portion of any low win rate is often simply deals that were never actively managed to a decision.
Evidence
The numbers we would look at
These are the metrics that make the constraint visible, and the cuts that stop them being reassuring by accident.
| Metric | What it tells you | How we read it |
|---|---|---|
| SQL/opportunity-to-close win rate | The headline metric under investigation.Segment by sector, deal size, sales rep and lead source to find where the problem concentrates. | Segment by sector, deal size, sales rep and lead source to find where the problem concentrates. |
| Loss reason breakdown | Distinguishes competitive losses from no-decision losses, price objections and timing issues.'No decision' losses point to proposition or procurement friction, not competitive weakness. | 'No decision' losses point to proposition or procurement friction, not competitive weakness. |
| Average discount applied to closed-won deals | Indicates whether deals are closing on value or on price concession.A rising average discount alongside a stable win rate suggests margin erosion is being traded for volume. | A rising average discount alongside a stable win rate suggests margin erosion is being traded for volume. |
| Stage-to-stage progression time | Identifies exactly where in the process deals stall.A specific stage with unusually long dwell time usually points to a specific proof or stakeholder gap. | A specific stage with unusually long dwell time usually points to a specific proof or stakeholder gap. |
| Win rate by number of stakeholders engaged | Tests whether multi-threading (engaging multiple buying-committee members) affects outcomes.If win rate correlates strongly with stakeholder engagement, the sales process may not be multi-threading enough deals. | If win rate correlates strongly with stakeholder engagement, the sales process may not be multi-threading enough deals. |
| Deal aging (days in pipeline past expected close) | Highlights opportunities that are effectively dead but not yet marked lost.High aging inflates pipeline coverage figures and delays accurate forecasting. | High aging inflates pipeline coverage figures and delays accurate forecasting. |
Measurement traps
What can mislead you
- Looks fineWin rate is stable overall
- An aggregate win rate can mask a declining rate in a specific, growing segment (e.g. a new sector or larger deal size) being offset by strength elsewhere; always segment before concluding stability.
- Looks fineMost losses are marked 'lost to competitor'
- Sales reps often default to a competitor loss reason rather than record 'no decision' or an internal budget failure, which are harder conversations; loss reason data quality should be checked, not taken at face value.
- Looks fineDiscounting has kept win rate up
- A stable win rate maintained through rising discounts is a margin problem wearing a conversion-rate disguise, and should be reported as such to leadership.
Outcome
What better looks like
Not a promised number. A clearer basis for the next investment decision.
- Loss reasons are recorded with enough specificity to distinguish competitive, pricing and no-decision losses
- Win rate is reviewed by segment, not only in aggregate
- Sales enablement and proof points are built for the full buying committee, not a single persona
- Pipeline reviews flag aging opportunities before they distort forecast accuracy
Where a Growth Diagnostic would start
A three to four week senior review across demand, discovery, acquisition, conversion, retention, measurement and capability — sequenced so this problem is either confirmed as the constraint or ruled out early. Read alongside the b2b & lead generation model page for how we frame the wider system.
Related problems
B2B & Lead Generation
The sales cycle is getting longer
Deals that used to close in weeks now take months, and forecasting has become unreliable.
B2B & Lead Generation
We can't tell which sources actually drive pipeline
Marketing and sales disagree about which channels actually generate revenue, and the reporting can't settle it.
B2B & Lead Generation
MQL-to-SQL conversion is low
Marketing is hitting its MQL numbers, but few of them are becoming sales-qualified leads.
Questions about this problem
- Is this within scope for a marketing-focused consultancy?
- Sales conversion sits outside marketing's direct control but strongly affects the return on marketing investment, so the diagnostic reviews it as part of the full pipeline, working alongside whoever owns sales process and pricing.
- Do you need access to CRM opportunity records?
- Yes, stage-level opportunity data with timestamps and loss reasons is central to this analysis; without it, the review relies more heavily on interviews and is correspondingly less precise.
- Can this be fixed without changing pricing?
- Often, yes — proof, multi-threading and sales process changes address a meaningful share of low win rates without a pricing change, though pricing is examined where the evidence points there.