Funnel & CRO
Score lead quality from corporate vs. personal email mix and close rates.
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- Claude, via MCP
How do work-email leads compare with personal-email leads?
Split sign-ups by email type and apply each group's close rate. With 900 sign-ups, 55% from company domains closing at 9% and the rest from personal emails closing at 1.5%, you get about 51 customers, a 5.6% blended rate, and nearly 90% of customers come from company-email leads.
Only 55% use a work email, so a lot of sales effort goes to low-intent personal signups. Real-time enrichment or a business-email requirement would sharpen routing and protect rep time.
Email domain is a fast proxy for intent, not a verdict, some real buyers use personal addresses. Pair it with enrichment before hard-blocking anyone.
About this calculator
Not every signup is worth the same amount of sales attention, and email domain is a fast, if imperfect, proxy for which ones are. This evaluator splits your signups into corporate and personal email segments, applies each segment's own close rate, and shows the blended close rate and lead-quality score that mix actually produces.
How to use it
- Enter monthly signups and the share using corporate (work) email versus personal domains like Gmail or Outlook.
- Enter the close rate for corporate-email leads and separately for personal-email leads.
- Read expected customers split by segment, the blended close rate across all signups, the lead-quality score, and the low-intent share of your funnel.
Methodology
Corporate leads is signups × (corporate share ÷ 100); personal leads is the remainder. Corporate customers and personal customers are each segment's lead count × its own close rate, and total customers is the sum. Blended close rate is total customers ÷ signups.
The lead-quality score blends corporate share (weighted 0.7×) with a bonus for how much better corporate leads close relative to personal ones, capped at 100, so it rewards both a favorable mix and a meaningfully wider gap between segment close rates, not corporate share alone.
Corporate share of 60%+ is graded "good," 40-59% "warn," below 40% "bad," reflecting how much of your sales effort is likely going toward signups unlikely to close, based on the historical gap between segments.
Customers by lead type and lead quality score
Corporate leads = Sign-ups × Corporate share Personal leads = Sign-ups − Corporate leads Customers = Corporate leads × Corporate close rate + Personal leads × Personal close rate Blended close rate = Customers ÷ Sign-ups Quality score = min(100, Corporate share × 0.7 + min(30, Corporate close ÷ Personal close × 6))
- Corporate share
- Share of sign-ups using a company email domain rather than Gmail, Yahoo, Outlook and similar.
- Close rates
- Share of each group that becomes a customer, from CRM history.
- Quality score
- A tool index that rewards both a higher corporate share and a bigger gap between the two close rates.
Email domain is a useful signal, not a verdict. Founders and small businesses often use personal email, and some markets use personal email for work far more than others. Check close rates by segment in your own CRM before filtering any group out. The quality score is the tool's own index.
Worked example: 900 sign-ups a month
A B2B product gets 900 sign-ups a month. 55% use a company email domain. CRM history shows 9% of those become customers, against 1.5% of personal-email sign-ups.
- Corporate leads = 900 × 55% = 495; customers = 495 × 9% = 44.6.
- Personal leads = 405; customers = 405 × 1.5% = 6.1.
- Total customers = 50.6; blended close rate = 5.6%.
- Company-email leads produce 88% of customers from 55% of sign-ups.
- Quality score = 55 × 0.7 + min(30, 6 × 6) = 38.5 + 30 = 69.
- Raising corporate share to 70% at the same close rates gives 60.8 customers, a 6.8% blended rate.
Route company-email leads to sales first and send personal-email leads to a self-serve or nurture path, rather than discarding them. Then make targeting attract more of the better group. For scoring that combines email type with other fit signals, see the lead grading calculator and the lead scoring logic architect.
How to use email domain in lead qualification
Use it as one input among several:
- Measure first: compare close rates by email type over at least a few months.
- Route, do not reject: personal-email leads can go to a lighter-touch path.
- Combine with fit: company size, role and industry predict more than email alone.
- Watch segments: in some segments, such as founders or small shops, personal email is normal and those leads can be valuable.
Email-based lead quality in India vs the US
Personal email is widely used for work in Indian small businesses, and many owners sign up with Gmail. A personal-email filter can wrongly discard good SMB leads. A phone number and company name are often stronger signals in India; check GST-registered business names where relevant.
In US B2B, company email is more standard for work, so personal-email sign-ups are more often students, job seekers or individuals evaluating for personal use. Many US teams require a work email for demos but allow personal email for free trials.
Common lead quality mistakes
- Rejecting all personal-email leads without checking their close rate.
- Treating company email as proof of fit.
- Comparing close rates over too short a period.
- Optimising ads for lead volume and attracting more low-quality sign-ups.
- Using one rule across markets where email habits differ.
FAQ
It's a fast proxy, not a verdict, some legitimate buyers, especially freelancers, founders, and smaller-company employees, use personal email addresses. Treat a personal-domain flag as a reason to enrich or verify rather than to automatically deprioritize or block a lead.
Then the quality signal here is weaker for your specific business, and the calculator will reflect that: a smaller close-rate gap between segments lowers the lead-quality score's bonus component, telling you domain-based routing matters less for your funnel than it might for a typical B2B SaaS company.
Common responses are adding real-time email or company enrichment at signup, requiring a business email for certain gated content, or routing personal-domain signups to a lower-touch nurture track instead of immediate sales outreach, protecting rep time for the higher-intent segment.
Then keep them in the main sales path. The point of the tool is to measure, not to assume.
For demo requests aimed at larger companies, it can help. For free trials and small-business products, it often costs good leads.
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