๐ŸŽฏ Lead Scoring

    Your counsellor called 25 leads today. The 5 she didn't reach had opened your brochure 4 times this week. She didn't know. She called the others first because their names were on top.

    Three of those 5 unreached leads had visited your website twice. One had asked a friend about your institute. She spent the day on calls that went nowhere while the people most ready to enrol got no call at all.

    3Sigma's lead scoring โ€” built using the automation and engagement tracking engine โ€” tells your team who to call first. Not based on who's at the top of a list, but based on who's actually showing buying signals right now.

    Why Treating All Leads Equally Wastes Time on Both Ends

    An education institute gets 800 inquiries a month. A counsellor can call 50 people a day. That's 250 calls a week โ€” out of 800 leads. Which 250? The answer determines how many students enrol.

    What happens when you call in the order they came in

    1

    A Facebook lead from a student who was scrolling and clicked on an ad

    They fill in the form because it was easy. When you call, they don't remember doing it. 'Oh yes, I was just looking.' Conversion rate: 4%.

    2

    A Google lead from someone who searched 'data analytics course fees Delhi'

    They had a specific intent. They compared 3 institutes. They're ready to make a decision. Conversion rate: 28%. But they're in position 387 on your call list.

    3

    A lead who opened your brochure 4 times this week

    They showed it to someone. They're serious. But your counsellor doesn't know this โ€” there's no signal visible in the call list.

    4

    A lead who replied to your follow-up WhatsApp

    They engaged. That's a strong buying signal. But it's not connected to the call priority โ€” the counsellor might call them 3 days later.

    5

    A lead who hasn't responded in 45 days

    Dead. But they're still in the list. A counsellor spends 8 minutes trying to reach them โ€” time that could have gone to someone who just enquired today.

    The result: Your counsellors spend most of their day on low-probability leads while high-probability leads go cold waiting for a call.

    What happens with 3Sigma lead scoring

    1

    A Facebook lead from a student who was scrolling and clicked on an ad

    Score: 35. Goes into the warm queue. Gets an automated nurture sequence. Counsellor doesn't spend live time here until the lead engages.

    2

    A Google lead from someone who searched 'data analytics course fees Delhi'

    Score: 65. Goes into the priority call queue. Counsellor calls within the hour. By the time this lead is comparing 3 institutes, yours has already called.

    3

    A lead who opened your brochure 4 times this week

    Score: jumps from 40 to 72 when 3rd open is registered. Moves to hot queue. Counsellor gets a notification: 'This lead just went hot.'

    4

    A lead who replied to your follow-up WhatsApp

    Score: +15 points for the reply. Immediately re-prioritised. Counsellor sees them at the top of the list for today's calls.

    5

    A lead who hasn't responded in 45 days

    Score: drops below 20. Moved out of active call queue. Goes into a long-term nurture sequence โ€” automated, no counsellor time wasted.

    The result: Counsellors spend their day on leads most likely to convert. Hot leads get called fast, before they move on. Cold leads are managed by automation.

    How Scores Are Calculated

    Each action, behaviour, and signal adds or subtracts from a lead's score. The score tells your rep, at a glance, how ready this person is to buy โ€” without the rep having to analyse anything.

    Signals that increase a lead's score:

    +10

    Lead from Google Search (high-intent keyword)

    They searched specifically for what you sell

    +20

    Lead from referral

    Someone they trust recommended you

    +20

    Opened your WhatsApp brochure 3+ times

    They went back to read it again โ€” serious interest

    +15

    Replied to at least one follow-up message

    They engaged โ€” they're not ignoring you

    +25

    Asked about price, fees, or availability

    Decision-making conversation โ€” they're evaluating

    +5

    Lead from Facebook (interest-based ad)

    Lower intent, but worth nurturing

    +10

    Visited your website more than once

    Active research behaviour

    Signals that decrease a lead's score:

    -15

    Lead is more than 30 days old with no response

    Interest is fading โ€” needs automation, not live calls

    -20

    Called 5+ times, no answer

    Unlikely to convert โ€” redirect effort

    -50

    Lead explicitly said 'not interested'

    Moved to lost โ€” stop calling

    -25

    No engagement with any message in 60 days

    Goes to long-term nurture sequence only

    The three score bands:

    Hot70+ points

    Instant notification to rep. Appears at top of call queue. Manager notified.

    Warm40โ€“69 points

    Regular follow-up queue. Next scheduled contact within 3 days. Rep handles manually.

    ColdBelow 40 points

    Automated nurture sequence. Rep not spending live time. Score is monitored โ€” if it rises, lead is re-prioritised.

    Scores Update in Real Time. Not Once at Signup.

    A lead's buying intent changes. Someone who enquired passively in October might become serious in January when their budget resets. Someone who was hot in November might have gone cold after finding a cheaper option.

    3Sigma's scoring is not a one-time stamp. It updates as new signals come in โ€” every time the lead opens a document, replies to a message, goes quiet, or shows interest again.

    โ†’

    Score changes trigger notifications

    When a lead's score crosses the hot threshold โ€” say, they just opened your proposal for the second time โ€” the rep gets a notification. 'This lead just went from 45 to 78. Now is a good time to call.'

    โ†’

    Cold leads can come back

    A lead that was cold (score: 28) for 2 months opens your brochure after you run a Diwali campaign. Score jumps to 48. They move out of cold and into the warm queue automatically.

    โ†’

    Hot leads that go quiet get flagged

    A lead was at 75 โ€” hot, active. Then they stop responding. Score drops over 2 weeks. Manager sees the slide and can decide whether to try a different approach or mark as lost.

    โ†’

    Rep sees score on every lead card

    Every lead in the rep's list shows their current score. The rep doesn't need to analyse โ€” they open 3Sigma and the highest-scoring leads are at the top. Start there.

    Example: Score history for one lead

    Priya Mehta

    Google Ads lead ยท Delhi ยท MBA enquiry

    81
    HOT
    Oct 3New lead from Google Search+1010
    Oct 3Lead source: high-intent keyword+1020
    Oct 5Replied to counsellor WhatsApp+1535
    Oct 8Opened brochure twice in one day+2055
    Oct 9Asked about fee structure+2580
    Oct 10Lead re-categorised: HOT+181
    Action triggered: Priya crossed 70 points on Oct 9th. Counsellor received a notification. Called her within 20 minutes. She enrolled the next day.

    Source Quality Intelligence: Which Channels Bring Your Best Leads

    Over time, 3Sigma learns which lead sources convert best for your specific business. This is different for every company. Most businesses are spending their marketing budget based on volume, not conversion.

    Example: what source quality data looks like for a coaching institute in Delhi

    Referral
    45 leads38% convert
    82 avg
    Google Search
    120 leads27% convert
    65 avg
    Facebook Ads
    340 leads9% convert
    42 avg
    JustDial
    180 leads6% convert
    35 avg
    IndiaMart
    90 leads4% convert
    28 avg

    What this tells you:

    This institute was spending โ‚น40,000/month on JustDial and IndiaMart because those channels brought 270 leads. But those leads converted at 4โ€“6%. Facebook brought 340 leads at 9%. Google brought 120 leads at 27%. The source report makes this visible within the first month. Shifting budget from JustDial to Google โ€” same total spend โ€” produced 3x more enrollments.

    Three decisions source quality data makes easier:

    ๐Ÿ“ˆ

    Where to increase marketing spend

    If Google leads convert at 27% and Facebook at 9%, the right move is to shift budget toward Google โ€” even if Facebook brings more leads in volume. Volume is not conversion.

    โฑ๏ธ

    How much time to give each source

    Referral leads with an average score of 82 deserve a call within an hour. IndiaMart leads with an average score of 28 can go into a nurture sequence and get a call only if they engage. Don't give both the same time.

    โœ‚๏ธ

    Which sources to stop investing in

    A source that brings 90 leads and converts 4 is worse than a source that brings 30 leads and converts 12 โ€” even though it looks more productive on a spreadsheet. The source quality report shows this clearly.

    What "Hot" Looks Like in Different Industries

    A hot real estate lead is different from a hot insurance lead. 3Sigma's scoring can be configured to match the specific signals that indicate purchase intent in your industry.

    ๐Ÿ 

    Real Estate

    High-score signals:

    • โœ“Asked about RERA registration number
    • โœ“Enquired about specific floor preference or facing
    • โœ“Asked about loan eligibility or EMI calculation
    • โœ“Requested to see available units today
    • โœ“Asked if price is negotiable

    Low-score signals:

    • โœ•Asked very general questions about 'any properties'
    • โœ•Said 'we're looking for next year'
    • โœ•No response to 3 consecutive follow-ups
    Key insight: In real estate, specificity equals intent. A buyer asking about floor preference and RERA is mentally moving in. A buyer asking 'what areas do you cover?' is at the very beginning of their research.
    ๐Ÿ›ก๏ธ

    Insurance

    High-score signals:

    • โœ“Asked about specific sum assured amount
    • โœ“Enquired about family coverage or spouse inclusion
    • โœ“Asked about premium amount for specific age
    • โœ“Mentioned a specific event (marriage, new baby, job change)
    • โœ“Compared your policy against a named competitor

    Low-score signals:

    • โœ•Just asked 'what types of plans do you offer?'
    • โœ•Said 'I'll check with my family first'
    • โœ•No engagement after the initial call
    Key insight: Life events drive insurance decisions. A lead who just had a child or got married is 5x more likely to convert than one browsing abstractly. Any mention of a life event should trigger immediate prioritisation.
    ๐ŸŽ“

    Education

    High-score signals:

    • โœ“Asked about placement statistics or specific companies
    • โœ“Asked about the next batch start date
    • โœ“Enquired about fee structure and payment plan
    • โœ“Asked about EMI options or scholarship availability
    • โœ“Mentioned they've visited two other institutes

    Low-score signals:

    • โœ•Just asked for 'more information' without specifics
    • โœ•Is still in 12th standard and exploring options broadly
    • โœ•Hasn't responded to the counsellor's message
    Key insight: When a student asks about the next batch date and payment plan in the same conversation, they've already decided they want to join โ€” they're just evaluating logistics. Those two signals together should trigger an immediate call.

    What's Included in 3Sigma Lead Scoring

    All scoring is automatic. No analyst required. No spreadsheet to maintain. The system does the prioritisation.

    ๐Ÿค–

    Automatic Lead Scoring

    Leads are scored continuously based on source, engagement signals, time since enquiry, and response behaviour. Score updates every time something changes โ€” not once at signup.

    ๐Ÿ”ฅ

    Hot Lead Notifications

    The moment a lead crosses your hot threshold, the assigned rep gets a push notification on their phone. Not at end of day. Not in a report. Immediately, so they can call while the lead is engaged.

    ๐Ÿ“‹

    Priority Call Queue

    Every rep's lead list is sorted by score automatically. Highest scores at the top. Reps start with the most likely to convert โ€” without needing to think about prioritisation themselves.

    ๐Ÿ“Š

    Source Quality Dashboard

    Conversion rate and average score per lead source. See which channels bring leads that actually buy โ€” not just leads that fill in forms. This is the data that drives marketing budget decisions.

    ๐ŸŒฑ

    Automated Nurture for Cold Leads

    Leads below the warm threshold enter automated WhatsApp sequences. Occasional messages, relevant content, no live counsellor time. If they engage, the score rises and they re-enter the active queue.

    ๐Ÿ“ˆ

    Score History and Audit Trail

    See how each lead's score changed over time and which specific events caused the changes. Useful for understanding what's working in your follow-up process and what's not.

    2x

    Conversion rate on leads that are scored and prioritised

    Calling the right people first makes more difference than calling more people

    60%

    Less counsellor time spent on leads that will never convert

    Cold leads handled by automation, not by people

    Under 20 min

    Hot lead response time when notifications are active

    vs 4+ hours when reps work off a static list

    3x

    Better ROI from marketing budget after source quality data is available

    Stop spending on channels that don't convert for your specific business

    What Businesses Say About Prioritising the Right Leads

    ๐ŸŽ“

    "We get 600 inquiries a month. Before lead scoring, my counsellors would call them in the order they came in. We were wasting most of our day on people who clicked a Facebook ad out of curiosity. After 3Sigma's scoring, the top 20% of our list โ€” the ones who'd opened our brochure or asked specific questions โ€” got called first. Our enrollment rate from those calls is 4x what it was from the old random order. Same number of counsellors, same number of calls per day."

    Anand Krishnaswamy

    Admissions Director, Coaching Institute, Delhi

    ๐Ÿ 

    "The hot lead notification changed everything for me. I used to check my lead list at the start of each day and decide who to call. But a lead who opens your proposal at 4pm on a Tuesday doesn't wait for you to call them the next morning. 3Sigma notifies me immediately. I call within 10 minutes. Those calls convert at 60%. When I used to call the same type of lead the next morning, conversion was 20%. The 10-minute response window is real."

    Meena Pillai

    Real Estate Agent, Bangalore

    ๐Ÿ“Š

    "The source quality data paid for 3Sigma in the first month. We were spending โ‚น35,000 a month on JustDial. The scoring data showed JustDial leads had an average score of 28 โ€” the lowest of any source โ€” and converted at 3.8%. Google Search leads averaged 61 and converted at 24%. We cut JustDial, moved the budget to Google Search. Next month our leads went from 380 to 280, but our actual paying customers went from 18 to 31. Less noise, more signal."

    Praveen Nair

    B2B Sales Manager, Industrial Equipment, Coimbatore

    Call the Right Leads First. Every Single Day.

    Book a 20-minute demo and we'll show you exactly how lead scoring works in 3Sigma โ€” including how the priority queue sorts your team's list, how hot lead alerts are triggered, and what the source quality dashboard looks like for your type of business.

    Automatic Scoring
    Scores update in real time as leads engage
    Hot Lead Alerts
    Instant notification when a lead is ready to buy
    Source Intelligence
    Know which channels bring your best leads

    Free 7-day trial. No credit card needed. Setup in under 10 minutes.

    See How 3Sigma Works for Your Industry

    Lead scoring is one part of 3Sigma. Explore the complete CRM for your business:

    Trusted by 5,000+ Sales Teams Across India

    5,000+
    Businesses on 3Sigma
    4.6โ˜…
    Play Store Rating
    50M+
    Activities Tracked
    10 min
    Setup Time
    โœ“Works on any Android or iOS device
    โœ“No IT team or technical setup required
    โœ“Your data is encrypted and backed up