Bancassurance at the Crossroads: Payout Push or Rework the Model
Sunrise Life has a corporate agency tie-up with Purvanchal Bank, which has 340 branches. Last quarter only 96 branches wrote a life policy. The bank's central team wants first-year payout raised from 18% to 24% of premium, on top of the existing 1.25% trail, arguing that two competitor insurers pay more. Sunrise already places two bank-assurance managers, paid by the insurer, in each of 26 clusters; those staffed branches write 3.4 times the premium per branch of unstaffed ones. Current cost of acquisition through the bank is 24.6% of first-year premium against a board ceiling of 28%. Free-look cancellations on bank-sourced business are 3.1% versus 1.4% company-wide, and fourteen complaints in six months allege that a fixed-return deposit was described as 'guaranteed'. Two branches have been selling through staff who are not designated specified persons. The bank holds two other life mandates; its corporate agency permits a third.
1. Accept or reject the payout demand? Show the arithmetic and state the conditions under which a higher payout could be justified.
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Reject it as a flat, across-the-board increase. 24.6% current cost plus 6 percentage points takes acquisition to 30.6%, above the 28% board ceiling. It also pays the 244 non-producing branches exactly as much per rupee as the 96 that deliver, so it cannot fix the problem it is being sold as fixing.
Where the money is. The 26 staffed clusters write 3.4x per branch. That is the only evidenced lever in the file: replicate the staffing model rather than raise the price of the existing model. Compare the two uses of the same budget - a 6-point raise costs, on a ₹45 crore bank book, about ₹2.7 crore a year with no new volume committed; the same sum funds roughly 30 additional bank-assurance managers.
Conditions under which a higher payout is defensible:
- It is earned, not given: 18% base, with the incremental 6% released only on branches crossing an agreed productivity threshold (for example, at least one policy per month and ₹X lakh premium per quarter).
- It is funded by measured improvement in activation, not by hope about competitor rates.
- It stays inside the board-approved commission policy and overall expense-of-management limits - since the 2023 commission regulations removed product-wise caps, that policy and the EoM position are the binding constraint.
- It survives quality tests: free-look cancellations at 3.1% and the 'guaranteed deposit' complaints are the strongest argument against paying more. A 6-point raise on a book with rising free looks buys volume the company then refunds.
Also weigh the open-architecture risk: the bank can add a third life mandate. A premium-priced deal invites the bank to use that slot to arbitrage, while the insurer carries the EoM load.
2. Two branches have been selling through staff who are not designated specified persons. Set out the exposure and a ten-working-day remediation.
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Exposure. Business solicited by individuals who are not qualified and designated specified persons of the corporate agent is business sold outside the permitted distribution arrangement. That is a compliance breach with several downstream consequences: regulatory action against both the bank and the insurer, repudiation risk if a claim is contested, evidence of weak insurer oversight of the corporate agent, and reputational damage that is amplified because the same bank is already generating mis-selling complaints. The insurer cannot plead that the bank did it; oversight of the corporate agent's sales force is the insurer's responsibility.
Ten working days:
- Day 1–2: stop. Suspend new solicitation from the two branches and block their codes in the producer system. Nothing new is written until this is clean.
- Day 2–4: establish the facts. List every policy sourced from those branches in the last 24 months, identify who signed each proposal, and quantify premium at risk.
- Day 4–6: customer side. Contact affected policyholders, confirm the policy terms and free-look position, and log complaints through the grievance process. Anywhere the customer was misled, offer remediation.
- Day 6–8: fix the status. Get the individuals trained and designated as specified persons through the corporate agent, with records retained.
- Day 8–10: escalate and control. Notify the principal officer and compliance, record the incident for the board/audit committee, and add a pre-issuance validation that no policy can be issued against an undesignated producer code.
Then amend the corporate agency agreement so that approved, designated staffing is an explicit bank obligation with an indemnity and a right to suspend the branch.
3. Design the scorecard that should govern the bank channel, including how payout responds to it.
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Use a three-part scorecard, reported branch-by-branch and cluster-by-cluster, with payout mechanics attached - not just a dashboard nobody acts on.
1. Activation. Share of the 340 branches writing at least one policy in the quarter (currently 28%), and premium per active branch. This is the primary metric because the 244 silent branches are the entire value gap.
2. Quality. Free-look cancellation rate (target ≤2.5%, currently 3.1%), complaints per 1,000 policies, mis-selling allegations upheld, and 13th-month persistency (target ≥75%). Quality should carry a material weight because premium collected and then refunded is a loss, not a sale.
3. Productivity of insurer-funded resources. Incremental premium per bank-assurance manager; the 3.4x figure is the current benchmark to beat.
Payout mechanics. Split remuneration into a base element and a quality pool - for example, 18% paid on issue with a 2-point pool released on the quality gates. Add clawback of first-year commission on free-look cancellations and on policies lapsing before the third premium. Suspend a branch's distribution rights after repeated mis-selling rather than negotiating the complaint away.
Governance. A monthly joint review with the bank at cluster level, with the same numbers on both sides of the table, so that any request for higher payout is answered with data on activation and quality rather than comparison with competitor rates.