Friction between sales and marketing often stems from using separate definitions for a Marketing Qualified Lead (MQL) and a Sales Qualified Lead (SQL). The most effective approach is to have one unified definition: a potential customer that sales can realistically close. This focuses both teams on the ultimate goal of revenue generation.

The company's overall win rate was low (6-7%) and decreasing. Analysis showed this decline mirrored a drop in marketing 'signals' (e.g., event attendance, content downloads) before an opportunity was created. This provided a clear data link between mid-funnel marketing activities and sales success.

Most go-to-market challenges, from low conversion rates to departmental friction, can be traced to the handoff process between marketing and sales. Start your diagnosis here to find the root cause of issues like low-quality leads or poor pipeline velocity, not just the symptoms.

Focusing on successful conversions misses the much larger story. Digging into the reasons for the 85% of rejected leads uncovers systemic issues in targeting, messaging, sales process, and data hygiene, offering a far greater opportunity for funnel improvement than simply optimizing wins.

Encourage sales and BDR teams to disqualify leads and close-loss deals quickly. This 'fail fast' approach cleans the pipeline, focuses effort on viable opportunities, and provides a rapid, clear feedback loop to marketing on lead quality and campaign effectiveness.

Limiting marketers' visibility after a lead is passed to sales is 'unconscionable.' Full CRM access allows them to see deal progression, read sales notes, and understand win/loss reasons, providing crucial feedback to align messaging from the first ad to the final close.

Your CRM's lead rejection data is a goldmine, but only if you scrutinize it. Vague reasons like "not a fit" often conceal systemic GTM flaws. Interviewing SDRs to understand what this label actually means can reveal critical disconnects between marketing's targeting and sales's enablement.

Executive teams often create an ICP based on a 'wishlist' of big logos. The most accurate ICP is actually found by analyzing your first-party CRM data. Examining patterns across both close-won and close-lost deals reveals surprising truths about which customer segments are actually the best fit for your solution.

To identify which events actually drive business, analyze your last 5-20 closed-won deals. Look for recurring, time-bound triggers that you didn't create. This data-driven approach provides clarity on where to focus your efforts, revealing the organic drivers behind your biggest successes.