The questions the plan set, answered
Q1Answered
What does the current state of insurance distribution look like across SEA banks and fintechs?
Protection is already on the agenda: 88% rate it a top-three priority or say it's climbing, and only one respondent in 43 isn't considering a change. But maturity is thin. Distribution still leans on agents and relationships for complex products, and few have assembled a modern in-app experience.
Q2Answered
What structural and operational barriers prevent meaningful in-app insurance experiences?
Legacy technology and integration (49%), regulation (44%) and internal ownership disputes (42%) are each named by roughly four in ten leaders. Only 14% cite weak customer demand. The blocker is assembly speed, not appetite.
Q3Answered
Who sits in the decision-making unit, and what triggers a vendor evaluation?
A commercial lead owns the number in about half of organisations, but risk (30%), legal (26%) and technology (23%) are the hard gatekeepers, so deals stall in second-stage review. 98% name a trigger to evaluate a partner within 18 months; the top two, a product launch (67%) and competitive moves (65%), are proactive.
Q4Validated
Is there appetite for a technology partner sitting alongside, not replacing, existing carrier and bancassurance relationships?
Yes, decisively. 74% want to own the customer experience with the partner behind the scenes as infrastructure; only 9% would hand the relationship over. This is the clearest validation of Cover Genius's enabler position in the study.
Q5Answered, with base caveats
How do needs differ across traditional banks, digital banks, e-wallets/super-apps and insurers?
Digital banks frame protection as a retention lever (87% would evaluate off a loyalty trigger vs 40% of traditional banks). Insurers are the least urgent segment and the only one where commercials never lead, so they read as a channel partner rather than a competitor for the same seat. Small bases on traditional banks and payments/wallet mean these are directional.
Q6Validated
What evaluation criteria matter, and do they map to Cover Genius's USPs?
They map cleanly. Integration speed (51%) and claims (42%) lead, both ahead of price (30%), with reliability (44%) tied between them. Cover Genius's stated USPs, speed, intelligence and claims, are the exact axes these buyers say they weigh.
Success measures
Exceeded10–15 completed VP+ interviews across the four segments43 completes, all VP+ and above, across all five segment types.
MetDirectional read on PMF: do prospects validate the pain points?Validated. Leaders name integration and claims as the core gaps, unprompted.
MetA working DMU map by segment, with decision triggersDelivered: economic buyer vs hard gatekeepers mapped, plus a ranked trigger list.
MetA short list of vendor evaluation criteria mapped to USPsDelivered and ranked: integration, claims, reliability ahead of price.
Exceeded3–4 directional headlines to anchor GTM/ABMFour planned headlines assessed (2 hold, 2 reframed), plus 3 structural findings the data added. See the headline map.
What to do next
- Lead GTM with the enabler position (74%) and integration speed (51%), not a replacement-carrier message.
- Build ABM in two tracks: a commercial deck for the economic buyer and a compliance/security track for the risk, legal and technology gatekeepers who decide the deal.
- Sequence the region by readiness: Indonesia and Malaysia show the highest activated priority; Thailand carries scale but the least urgency.
- Treat small-base segment reads (traditional banks, payments/wallet, Singapore) as directional; confirm in a follow-up wave before hard-coding segment messaging.
Methodology · who we talked to
43 senior decision-makers, fielded June to July 2026 via Cint and Prolific panels. All operate in Southeast Asian markets and hold direct influence over insurance and protection decisions. Excludes pure carriers without bank distribution and existing Cover Genius customers in the region.
95%are C-suite or MD/SVP level
79%are the primary decision maker
67%serve 5 million or more customers
By marketIndonesia18
Thailand10
Malaysia10
Singapore5
By organisation typeDigital bank15
Ecosystem super-app10
Insurer9
Traditional bank5
Payments / wallet4
Percentages throughout are calculated against the relevant subgroup base, shown alongside each figure. Subgroups under n=10, notably Singapore, traditional banks and payments/wallet, are directional rather than representative. Six respondents answered open questions in Thai; those were translated and coded on meaning, so every figure reflects all 43 respondents.