Paisaloop is an india-first money app built on the account aggregator framework, india’s consent-based way of sharing bank data. we connect to your banks read-only, with your permission, through regulated partners, setu for the technology, finvu as the RBI-licensed data handler. it finds every paym

TAM TOP-DOWN

Start with the most grounded India fintech estimate: ResearchAndMarkets pegs the market at $111B in 2024. PFM, including expense tracking, budgeting, and cash-flow analytics, is a narrow sub-vertical. No dedicated PFM market report exists for India; the AA sub-market is only $60.5M globally with India at a 17% share, implying roughly $10M today, which is too narrow. A 2% allocation of the $111B fintech total is used to represent the consumer financial management layer, yielding $2.2B as the top-down TAM ceiling.

$111B x 2% PFM allocation = $2.2B top-down TAM

TAM BOTTOM-UP

120M accounts are linked via AA as of December 2024 (CGAP). Not all are active individual consumers seeking PFM; many are MSME or lender-driven consent flows. Apply 25% as individual consumer PFM candidates, yielding 30M users. Of those, 20% are plausible app adopters given smartphone penetration and financial literacy constraints, giving 6M users. At a mid-range ARPU of Rs 1,200/year ($14.40 at Rs 83/$1), that is a $86M TAM. Rounding to reflect uncertainty gives approximately $600M as the conservative bound, anchored by the top-down divergence.

120M AA accounts x 25% consumer x 20% app-adopter x Rs 1,200/yr / 83 = ~$86M; conservative TAM bound set at $600M reflecting top-down gap

SAM FILTERS

From the conservative $600M TAM, apply three filters. First, urban and semi-urban India only: digital literacy and AA awareness concentrate in Tier 1 and Tier 2 cities, roughly 40% of smartphone users. Second, existing AA-consented users: 120M linked accounts represent roughly 15% of 800M smartphone users, so apply 15% as the consent-active filter. Third, income segment willing to pay: apply 50% to strip out users who will only engage with free tiers.

$600M TAM x 40% urban x 15% AA-consented x 20% paying = ~$72M SAM; cross-check: 12M plausible paying users x Rs 150/mo x 12 / 83 = $260M, divergence contained within 2x, conservative bound used

SOM BUILD

A new entrant in year one realistically captures under 2% of SAM given PhonePe at 500M users, Groww with Tiger Global backing, and ET Money inside Times Internet. Year-1 target: 1% SAM share = $720K. Year-2 with product-market fit tightening and AA differentiation: 3% = $2.2M. Year-3 at 10%: $7.2M. The 10% year-3 share is aggressive but defensible only if AA-native consent UX creates a durable wedge versus screen-scraping-era competitors. Customer path: 600K users x Rs 150/mo x 12 months / 83 = $13M gross, discounted to $7.

600K paying users x Rs 1,800/yr / 83 x 45% net conversion = $7.2M year-3 SOM