How Health Insurance Companies Can Generate Qualified Leads Without Relying on Aggregators
PolicyBazaar just sent you another "hot lead."
You call within 5 minutes. The prospect says:
- "I'm just comparing prices"
- "Call me back next month"
- "I already bought from HDFC Ergo yesterday"
You just paid ₹800 for a lead that was:
- Sent to 6 other insurers simultaneously
- Not actually ready to buy
- Shopping purely on price
This happens 40-60 times per month.
Your math:
- 50 aggregator leads @ ₹800 = ₹40k spent
- 5% convert = 2-3 policies sold
- Cost per policy: ₹13k-20k
- Policy premium: ₹15k-25k
- First-year commission: 20% = ₹3k-5k
You're losing money on every aggregator lead.
There's a better way: Direct lead generation.
Build your own lead engine, own the customer relationship, cut acquisition costs by 60%, and stop competing with 6 insurers on every lead.
At SalesUp, we help health insurance companies generate 30-50 qualified, exclusive leads per month at ₹2,500-3,500 per lead (vs ₹800-1,200 for aggregator junk).
Here's the complete playbook.
The Health Insurance Lead Generation Problem
Why Aggregators Are Killing Your Margins
How aggregators work (PolicyBazaar, Turtlemint, ETMoney, RenewBuy):
- They generate leads (paid ads, SEO, content marketing)
- They collect requirements (age, family size, budget)
- They show 10-15 quotes (lowest premium highlighted)
- They send "lead" to 5-8 insurers (whoever pays, gets the lead)
- Insurers compete (race to the bottom on price)
- Customer buys cheapest (no brand loyalty)
- Aggregator takes commission (15-30% of premium)
What's wrong with this model?
Problem #1: Lead Leakage (You're Competing with 5-8 Insurers)
Aggregator sends same lead to:
- Star Health
- HDFC Ergo
- Care Health
- Niva Bupa
- Aditya Birla
- Max Bupa
- Your company
Result: Customer gets 7 calls in 24 hours, overwhelmed, picks cheapest (or ghosts everyone).
Your close rate: 5-8%
Problem #2: Price Commoditization
Aggregator UI highlights:
- Premium amount (lowest on top)
- Sum insured (higher is better)
- Claim settlement ratio
NOT highlighted:
- Network hospitals
- Coverage exclusions
- Claim process quality
- Customer service
Result: You compete on price, not value. Margins compressed.
Problem #3: No Customer Relationship
Who owns the customer?
- Aggregator owns the data
- Aggregator owns the renewal reminder
- Aggregator gets repeat commission
You're just a "fulfillment partner."
Problem #4: High Cost Per Acquisition
Aggregator lead costs:
- Lead cost: ₹600-1,200
- Conversion rate: 5-8%
- Cost per policy: ₹10-20k
Your first-year commission:
- Premium: ₹20k avg
- Commission: 20% = ₹4k
You lose ₹6-16k on every first-year policy.
You're betting on renewals (2nd year onwards, no acquisition cost). But:
- 40-50% of customers churn after year 1
- Aggregators retarget them (you lose renewal too)
Aggregators work for them, not for you.
What "Direct Lead Generation" Means (And Why It's Better)
Direct lead gen: You generate leads directly (no intermediary), own the customer relationship, control the sales process.
Channels for direct lead gen:
- Outbound sales (proactive prospecting)
- SEO + Content marketing (inbound organic)
- Paid ads (Google, Facebook, but to YOUR landing page)
- Partnerships (hospitals, clinics, corporates)
- Referral programs (existing customers bring friends)
Benefits:
- Exclusive leads (no competing with 7 insurers)
- Higher conversion (15-30% vs 5-8% on aggregators)
- Lower cost per policy (₹4-8k vs ₹10-20k)
- Customer ownership (you control renewals)
- Brand building (not just price comparison)
The catch: Requires upfront investment in lead gen infrastructure.
But the ROI is 5-10X better than aggregators long-term.
The Direct Lead Generation Playbook for Health Insurance
Step 1: Define Your ICP (Not "Everyone Who Needs Health Insurance")
Bad ICP:
- Age: 18-65
- Location: India
- Need: Health insurance
This describes 500 million people. Useless for targeting.
Good ICP (Example: Family Floater Plans for Upper Middle Class):
Demographics:
- Age: 30-45 (young families)
- Income: ₹10L-30L annual household income
- Family: Married with 1-2 kids
- Location: Tier 1 cities (Mumbai, Delhi, Bangalore, Pune, Hyderabad)
Behavioral:
- Salaried professionals (IT, banking, consulting)
- Currently have employer group insurance (but want top-up or family coverage)
- Health-conscious (gym memberships, regular checkups)
- Digitally savvy (comfortable buying online)
Triggers:
- Job change (losing employer coverage)
- New baby (need maternity/pediatric coverage)
- Parent health scare (realize importance of insurance)
- Policy renewal dissatisfaction (current insurer rejected claims)
Psychographic:
- Value quality over price (will pay ₹25k vs ₹18k for better coverage)
- Fear: Medical emergency bankrupting family
- Desire: Peace of mind, comprehensive coverage
Why this works:
- Specific enough to create targeted messaging
- High LTV (₹20-30k premium × 10+ years = ₹2-3L lifetime value)
- Low price sensitivity (focus on value, not just premium)
Key insight: Niche down to one segment, dominate it, then expand.
Step 2: Build a Trigger-Based Prospecting System
Don't wait for people to "search for health insurance." Find them when they NEED it.
Trigger #1: Job Change (Employer Coverage Lost)
How to identify:
- LinkedIn job change announcements
- "Congratulations on your new role" posts
- Changed company on LinkedIn (recent 30 days)
Timing: 30-60 days after job change (settling in, realizing they need coverage)
Outreach angle:
"Hi [Name],
Congrats on the new role at [Company]!
Quick question: Does [Company] offer group health insurance, or are you looking at individual/family coverage?
Most people who switch jobs don't realize their employer coverage ends immediately - leaving a 1-3 month gap.
Worth a quick 10-min call to ensure you're covered during transition?
[Calendar link]"
Conversion rate: 8-12% (high urgency)
Trigger #2: New Baby (Maternity & Pediatric Coverage)
How to identify:
- LinkedIn baby announcements
- Facebook baby photos/posts
- Maternity hospital records (partnerships)
Timing: 6-12 months before due date (planning phase)
Outreach angle:
"Hi [Name],
Congrats on the baby on the way!
Quick tip: Most health insurance policies have a 9-12 month waiting period for maternity coverage.
If you don't have a policy yet, now's the time (before delivery costs hit ₹2-5L out of pocket).
We specialize in maternity-friendly policies. Worth a quick chat?
[Calendar link]"
Conversion rate: 15-20% (high urgency + clear need)
Trigger #3: Parent Health Scare (Senior Citizen Plans)
How to identify:
- Social media posts about parent hospitalization
- Hospital partnerships (with consent)
- Community groups (online forums)
Timing: Immediately after scare (emotional, realizes importance)
Outreach angle:
"Hi [Name],
Saw your post about your father's health - hope he's recovering well.
Medical emergencies are stressful enough without worrying about ₹5-10L bills.
We help families protect their parents with senior citizen health insurance (even with pre-existing conditions).
Worth a quick call to explore options?
[Calendar link]"
Conversion rate: 20-25% (highly emotional, high intent)
Trigger #4: Policy Renewal Dissatisfaction
How to identify:
- Google search: "Why did [Insurer] reject my claim"
- Social media complaints about insurers
- Review sites (Google, Trustpilot)
- Reddit/Quora threads
Timing: 30-60 days before their renewal (switching window)
Outreach angle:
"Hi [Name],
Saw your post about [Insurer] rejecting your claim - frustrating!
Switching insurers can feel risky (waiting periods, pre-existing conditions), but there are ways to do it without losing coverage.
We specialize in helping people switch from [Bad Insurer] to better options.
Worth a 15-min call to explore?
[Calendar link]"
Conversion rate: 25-30% (actively unhappy, ready to switch)
Step 3: Multi-Channel Outreach Strategy
Health insurance buyers don't respond to cold calls. They need nurturing.
Channel mix:
- Email: 40% (primary channel for awareness)
- LinkedIn: 30% (for professional audience)
- WhatsApp: 20% (for warm leads)
- Phone: 10% (only after engagement on other channels)
The 21-day nurture sequence:
Day 1: Email (Trigger-Based)
Subject: [Trigger] - Health insurance covered?
Hi [Name],
[Personalized trigger reference].
Most people in your situation face [specific risk].
We help [similar people] avoid [worst case scenario] with [solution].
Quick 10-min call? [Calendar link]
Day 3: LinkedIn Connection Request
"Hi [Name],
I help [persona] navigate health insurance options (especially [trigger situation]).
Worth connecting?"
Day 5: Email (Educational Content)
Subject: 3 things to know about health insurance if [trigger]
[Name],
Quick share - here are the 3 mistakes people make when [trigger]:
1. [Mistake 1 + consequence]
2. [Mistake 2 + consequence]
3. [Mistake 3 + consequence]
Want to make sure you avoid these? Happy to do a quick 10-min coverage review.
[Calendar link]
Day 8: LinkedIn Message (Case Study)
"Hi [Name],
Saw you accepted my connection - thanks!
Quick share: We recently helped someone in a similar situation [similar trigger].
They were [problem], we helped them [solution], result was [outcome].
If relevant, happy to explore if we can help you similarly.
[Calendar link]"
Day 12: WhatsApp (If Phone Number Available)
"Hi [Name],
Followed up a couple times via email - thought WhatsApp might be easier.
Quick question: Are you currently covered by health insurance, or is it on your list to explore?
If it's the latter, happy to send you a quick comparison tailored to your situation.
Let me know!"
Day 15: Email (Social Proof)
Subject: How [Similar Person] saved ₹50k on hospital bills
[Name],
Quick story:
[Similar person] was in [similar situation]. They delayed getting health insurance.
Then [health emergency] happened. Out-of-pocket: ₹5L.
After that, they got comprehensive coverage with us. Total premium: ₹18k/year.
Next emergency: Fully covered. Out-of-pocket: ₹0.
Worth 10 mins to make sure you're protected?
[Calendar link]
Day 18: Phone Call (Live Voice)
- Reference previous emails/LinkedIn
- Ask 1-2 qualifying questions
- If interested, book call immediately
- If not ready, ask when to follow up
Day 21: Breakup Email
"Hi [Name],
Followed up a few times - haven't heard back.
Assuming health insurance isn't a priority right now.
Should I close your file or check back in [timeframe based on trigger]?
Either way, here's a free resource: [Link to guide/calculator].
Best,
[Your Name]"
30% respond to breakup email with: "Sorry, been busy. Let's talk."
Overall sequence conversion rate: 10-15% book calls
Step 4: The Discovery Call (Not a Sales Call)
Goal: Understand their situation, educate them on options, position yourself as advisor (not pushy salesperson).
Discovery call framework:
Opening (2 mins):
"Thanks for taking time, [Name].
Quick agenda: I'd love to understand your current health insurance situation, your family's needs, and see if there's an opportunity to provide better coverage.
Sound good?"
Current State (5 mins):
-
"Do you currently have health insurance?"
- If yes: "What's covered? Any gaps or frustrations?"
- If no: "What's stopped you from getting coverage so far?"
-
"Tell me about your family - who would you want covered?"
- Spouse, kids, parents?
-
"Any pre-existing conditions or recurring health issues?"
- (Critical for underwriting)
Needs Assessment (5 mins):
-
"What matters most to you in a health policy?"
- Premium cost?
- Network hospitals?
- Coverage amount?
- Claim settlement speed?
-
"What's your budget range?"
- (Important: Don't pitch ₹50k policy to someone with ₹15k budget)
-
"Have you had any bad experiences with health insurance claims?"
- (Address fears upfront)
Education (5 mins):
-
"Let me explain the 3 main types of policies..."
- Individual vs Family Floater vs Super Top-Up
- Pros/cons of each for their situation
-
"Here's what most people miss..."
- Waiting periods, sub-limits, room rent capping, co-pay
-
"Based on what you've shared, here's what I'd recommend..."
- (Consultative, not salesy)
Next Steps (3 mins):
- "I'll pull together 2-3 options tailored to your situation."
- "I'll email them over by [date]."
- "We can review on a quick call, or you can review async - whatever works."
- "Any questions right now?"
Key insight: Don't pitch on first call. Build trust, educate, then present options.
Step 5: The Proposal (Educate First, Sell Second)
Bad proposal:
Policy A: ₹15,000/year, ₹5L coverage
Policy B: ₹22,000/year, ₹10L coverage
Policy C: ₹35,000/year, ₹20L coverage
Let me know which you prefer!
Result: Customer picks cheapest or ghosts.
Good proposal:
Section 1: Your Situation (Recap)
- Family: You + Spouse + 2 Kids
- Age: 35
- Pre-existing conditions: None
- Budget: ₹20-25k/year
- Priority: Comprehensive coverage + good claim experience
Section 2: Coverage Recommendation Based on your family size and budget, here's what you need:
- Minimum sum insured: ₹10L (₹2.5L per person equivalent)
- Why: Average ICU stay in [City] costs ₹3-5L. ₹5L won't cut it.
- Room rent: No capping (many policies cap at ₹5k/day - ICU costs ₹15k/day)
- Network hospitals: 10,000+ (including top hospitals in [City])
- No claim bonus: 10-50% increase in sum insured every claim-free year
Section 3: 3 Options (Good, Better, Best)
Option 1: Essential Coverage (₹18,000/year)
- ₹5L sum insured
- 5,000 network hospitals
- Room rent capped at ₹5k/day
- ⚠️ Risk: May need to pay out-of-pocket if hospitalized in premium hospital
Option 2: Comprehensive Coverage (₹24,000/year) ✅ RECOMMENDED
- ₹10L sum insured
- 10,000+ network hospitals
- No room rent capping
- Maternity coverage (₹50k sub-limit)
- Daycare procedures covered
- Best balance of coverage + cost
Option 3: Premium Coverage (₹38,000/year)
- ₹25L sum insured
- Global coverage (medical tourism)
- No sub-limits
- Annual health checkups included
- ⚡ For: High-income families who want zero compromise
Section 4: Why [Your Company]
- ✅ Claim settlement ratio: 92% (vs industry avg 85%)
- ✅ Claim settlement time: 7 days (vs industry avg 14 days)
- ✅ 24/7 claim support (WhatsApp + Phone)
- ✅ No surprise rejections (we pre-verify eligibility)
- ✅ Dedicated relationship manager (you're not just a policy number)
Section 5: Next Steps
- Review options
- Any questions? Reply or call me at [number]
- Ready to proceed? [Link to buy online]
- Need more time? Let's reconnect on [date]
Key insight: Educate on WHY they need coverage, not just WHAT it costs.
Case Study: Health Insurer Cut Aggregator Dependency from 80% to 30% in 12 Months
Company: Mid-sized health insurance company, ₹100 crore GWP (Gross Written Premium), primarily retail individual/family policies.
Before (Aggregator-Dependent Model):
- 80% of leads from aggregators (PolicyBazaar, Turtlemint, etc.)
- 2,000 aggregator leads/month @ ₹800/lead = ₹16L/month cost
- 6% conversion rate = 120 policies sold/month
- Cost per policy: ₹13,333
- Avg first-year commission: ₹4,000 (20% of ₹20k premium)
- Losing ₹9,333 per first-year policy
Challenges:
- Competing with 6-8 insurers on every lead (price war)
- No brand differentiation (just another quote on aggregator)
- 45% churn rate after Year 1 (aggregators retarget at renewal)
- Burning cash on customer acquisition
What they did:
Month 1-3: Build Direct Lead Gen Foundation
- Defined ICP: Young families (30-45), ₹10-30L income, Tier 1 cities
- Identified triggers: Job changes, new babies, parent health scares
- Hired SalesUp for outbound SDR support
Month 4-6: Launch Direct Campaigns
- LinkedIn + email campaigns targeting triggers
- Booked 40 discovery calls/month
- 25% conversion rate = 10 policies/month from direct channel
- Cost: ₹3L/month (SalesUp retainer)
- Cost per policy: ₹30k (higher initially)
Month 7-9: Optimize & Scale
- Improved messaging (conversion rate 25% → 35%)
- Increased volume (40 → 80 discovery calls/month)
- 28 policies/month from direct channel
- Cost per policy: ₹10,714
Month 10-12: Shift Budget from Aggregators to Direct
- Reduced aggregator spend: ₹16L → ₹8L/month (50% cut)
- Increased direct spend: ₹3L → ₹5L/month (more SDRs)
- Direct channel: 120 discovery calls/month → 40 policies/month
- Aggregator channel: 1,000 leads/month → 60 policies/month
Results (Month 12):
| Metric | Before (Aggregator-Heavy) | After (Direct-Heavy) | Change |
|---|---|---|---|
| Total Policies/Month | 120 (100% aggregator) | 40 direct + 60 aggregator = 100 | -17% volume |
| Lead Gen Cost/Month | ₹16L | ₹5L (direct) + ₹8L (aggregator) = ₹13L | -19% cost |
| Cost Per Policy | ₹13,333 | ₹8,125 (direct) / ₹13,333 (aggregator) | -39% (direct) |
| Customer Ownership | 0% (aggregator owns) | 40% (own direct customers) | +40% |
| Churn Rate | 45% | 25% (direct) / 45% (aggregator) | -44% (direct) |
| Lifetime Value | ₹40k (2.2 years avg) | ₹80k (4.5 years avg direct) | +100% |
ROI Calculation (3 Year View):
Aggregator channel (100 policies):
- Acquisition cost: ₹13.3L
- Year 1 commission: ₹4L (₹4k × 100)
- 55% renew Year 2: ₹11L commission (55 × ₹20k)
- 30% renew Year 3: ₹6L commission (30 × ₹20k)
- Total 3-year value: ₹21L
- 3-year profit: ₹21L - ₹13.3L = ₹7.7L
Direct channel (40 policies):
- Acquisition cost: ₹5L
- Year 1 commission: ₹1.6L (₹4k × 40)
- 75% renew Year 2: ₹6L commission (30 × ₹20k)
- 55% renew Year 3: ₹4.4L commission (22 × ₹20k)
- Total 3-year value: ₹12L
- 3-year profit: ₹12L - ₹5L = ₹7L
But here's the kicker:
Direct customers have 4.5-year average tenure (vs 2.2 for aggregator).
5-year value of 40 direct policies: ₹20L profit 5-year value of 100 aggregator policies: ₹10L profit
Direct channel delivers 2X profit per cohort long-term.
What SalesUp Does for Health Insurance Companies
We specialize in direct lead generation for health insurance companies looking to reduce aggregator dependency.
What you get:
- 30-50 qualified discovery calls/month
- Trigger-based targeting (job changes, new babies, dissatisfied renewals)
- Multi-channel outreach (email, LinkedIn, WhatsApp, phone)
- Pre-qualified leads (budget + intent verified)
- Meetings booked directly into your team's calendar
- Full CRM integration (you own all data)
Target segments:
- Individual/family health insurance (₹15-50k premium)
- Senior citizen plans (₹30-80k premium)
- Maternity insurance (₹20-40k premium)
- Corporate group insurance (separate offering)
Average results:
- 30-50 discovery calls/month
- 25-35% discovery-to-proposal conversion
- 30-40% proposal-to-close conversion
- 10-15 policies closed/month
- ₹5-8k cost per policy (vs ₹13k aggregator)
Cost: ₹3-4L/month (3-month minimum to build pipeline)
Book a demo to see how we can help you cut aggregator dependency by 50% in the next 6 months.
Your product is solid. Your claims process is great. You just need customers who actually want to buy from YOU.
Stop competing with 7 insurers on aggregator platforms. Build your own lead engine.