How often have we heard from marketing leaders that MQLs (Marketing Qualified Leads) are being overlooked by SDR (Sales Development Representatives) and BDR (Business Development Representatives) teams?
Despite enhancements in lead scoring systems, many sales teams remain skeptical of lead scores as indicators of real pipeline potential. The reality is that while lead scoring has become increasingly sophisticated, moving beyond simple engagement metrics to include intent and digital activities, many B2B SaaS companies still find that these scores don’t reliably predict conversion to pipeline or closed deals.
So, if today’s lead-scoring methods aren’t effectively moving the needle on conversions, why is that? Let’s explore why lead scores often fall short and what can be done to bridge the gap.
The Evolution of Lead Scoring—and Its Limitations
Lead scoring was initially designed to help sales teams prioritize outreach by assigning a numerical score to each lead based on factors like fit (e.g., industry, company size) and engagement (e.g., email opens, and website visits).
With advances in data tracking, today’s lead scores can also incorporate buyer intent signals, social media interactions, form-fills, social media post interactions, impressions, and other digital activities. This deeper level of scoring theoretically offers a richer view of lead readiness.
However, despite these advancements, many SDR and BDR teams are still wary of relying on lead scores alone. They’ve experienced cases where leads with high scores don’t actually convert to opportunities at higher rates, leading them to question the effectiveness of the scoring system.
In fact, our recent analysis of 21,000 MQLs from a B2B SaaS company showed that as the lead score increased from a “D” rating to an “A” rating, the conversion rate to the pipeline actually dropped. Instead of correlating positively with conversions, higher lead scores were negatively correlated to pipeline performance. Want to dive deeper? Read the full blog here.