Why can't CRM lead scores tell me who actually wants to buy?
Automated CRM lead scores often act as an unvalidated layer of noise that leaves reps unable to tell which accounts deserve their attention. This randomness forces salespeople to waste time guessing whether high-scoring accounts will ever respond or if smaller, active accounts are the real opportunity.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
- 1Looking at the actual request directly and figuring out what the person is trying to do
- 2Using submitted information directly to decide how a customer request should be handled instead of relying on a score
- 3Sorting accounts by company size, industry, and prior email opens
- 4Looking at buyer intent and technographic data
In their words
Unedited, grouped by where they were said, most upvoted first within each place, each linked to the thread it came from.
“There are hundreds of accounts in the crm and I can't tell if I'm spending time on the right ones.”source ↗
“Some accounts look like a great fit but never respond, while smaller ones sometimes have several people checking the site or looking at pricing.”source ↗
“I'm trying to make the list less random and stop wasting good prospecting time”source ↗
“Scoring...who actually validated it? I mean just because a score says X, what or how is that actually validated. I think it's just another layer of BS personally”source ↗
Where this came up
People with this problem also raised
- 8Google Sheets is falling apart for tracking leads
- 2Why are customer leads getting so expensive?
- 4Why does a CRM get so messy as outbound volume grows?
- 10How do you keep track of clients, projects, deadlines, and follow-ups?
- 2How to set up a CRM when you have no experience
- 4Why do team members hate using our CRM?