๐Ÿงช๐Ÿ“Š๐Ÿ’ฐ

Nano Loan Pilot โ€” Ghana

DR1 ยท DR10 ยท LN1 Conversion ยท Profitability Projections by Route
Mar 2 โ€“ Apr 14, 2026 ยท Nano Tier A Only ยท Fido Score 250โ€“260

๐Ÿ“… Mar 2 โ€“ Apr 14, 2026 ๐Ÿ‡ฌ๐Ÿ‡ญ Ghana Production ๐Ÿ“ก Snowflake Ghana Prod ยท ml.loan_info_tbl ร— ml.client_info
2,885
Nano Loans Disbursed Since March
33.6%
Nano DR1 ยท Equal to Counter Offer (33.2%)
59.2%
Nano Band Disbursement Rate ยท vs 68.7% CO

โš ๏ธ Read This First: Pilot vs Established Products

  • Nano Loan is 6 weeks old (launched Mar 2, 2026). Counter Offer, Personal, and Control Group are established products with calibrated models and borrower history.
  • Nano borrowers are first-time credit users with no prior repayment track record โ€” a structurally different risk profile that will improve as the product matures.
  • Eligibility bands by Fido score: Nano = 250โ€“260 ยท Counter Offer = 260โ€“276 ยท Personal = 276+. Nano targets users who do not yet qualify for any standard product.
  • Population composition: Nano clients are drawn from two pools โ€” approximately 5% of non-eligible users (score 250โ€“260) and 5% of Counter Offer-eligible users (score 260โ€“276). This is a controlled pilot sample, not full rollout.
  • Only Tier A is live (GHS 50โ€“60). All 2,885 disbursements are Tier A โ€” the ladder model is not yet active.
  • DR10 is time-sensitive. It is computed daily against CURRENT_DATE and includes loans that were ever 10+ days late โ€” including those eventually repaid. Cross-snapshot comparisons are unreliable. On-time return rate is the primary metric used here.
  • Note on Control Group filter: The JIRA spec uses fido_model LIKE '%CG%' โ€” this does not match 'GH_CONTROL_GROUP' (no 'CG' substring). The correct filter is fido_model = 'GH_CONTROL_GROUP', which is what this report uses.

Experiment Structure โ€” Nano Pilot Population

Group B

Non-eligible users

Fido Score 250โ€“260

5% sample offered Nano

Group A

Counter Offer-eligible users

Fido Score 260โ€“276

5% redirected to Nano

โ†“ Both pools combined into Nano pilot

Nano Loan โ€” Tier A

GHS 50โ€“60 ยท All 2,885 disbursements

โœ“ Only active tier

โ†“ After repayment

LN1 Graduation

443 clients received LN1
Full Fido product

DR1 Default

274 loans ยท 33.6%
Credit cost

โšก Executive Summary โ€” DR1 Across All Segments

DR1 (any missed payment at all โ€” DTR > 1) is the primary early-signal metric. Nano's DR1 is equivalent to Counter Offer, and materially higher than Personal โ€” which is expected given its lower Fido score band.

Personal โ€” DR1

22.9%
1,337 of 5,847 due loans. Lowest DR1 โ€” reflects pre-qualified borrowers with Fido score 276+. Established product baseline.

Counter Offer โ€” DR1

33.2%
256 of 771 due loans. Score band 260โ€“276. Benchmark for Nano comparison โ€” same risk tier as Group A Nano clients.

Nano Loan โ€” DR1

33.6%
274 of 815 due loans. Score band 250โ€“260. Statistically equivalent to Counter Offer (33.2%) โ€” strong signal for a new product serving first-time borrowers.

Control Group โ€” DR1

34.6%
180 of 521 due loans. Same UCLL product as Personal but lower Fido score cohort. In line with Nano and Counter Offer.

Key takeaway: Nano DR1 (33.6%) is statistically indistinguishable from Counter Offer (33.2%) โ€” the product that serves the next score band up. This is the clearest early validation signal: first-time borrowers in the 250โ€“260 band are defaulting at the same rate as the established 260โ€“276 product.

๐Ÿ“‹ Segment Summary โ€” Fresh Data (Mar 2 โ€“ Apr 14)

SegmentScore BandTotal LN0Avg LoanOn-Time RepaidLN1 ClientsDR1DR10 *
Control GroupUCLL ยท GH_CONTROL_GROUP1,813GHS 27967137434.6%6.5%
Personal276+ ยท GH_FIDO_MODEL%21,716GHS 2819,4734,88822.9%1.2%
Counter Offer260โ€“2763,090GHS 1481,26359633.2%1.1%
Nano Loan250โ€“2602,885GHS 601,17644333.6%15.1%

LN1 Clients: Count of LN0 borrowers who repaid on time (on or before due date) and subsequently received a second disbursement. Does not include late repayers. Apr-06 and Apr-13 cohorts are excluded from LN1 calculations โ€” too early for second loans to have been issued.

* DR10 methodology note: DR10 (marked with *) is from the PDF snapshot (Apr 12, 2026). It counts any loan where DTR > 10 โ€” including loans repaid late and now fully closed. It is NOT "currently overdue 10+ days." Daily CURRENT_DATE() recalculation means DR10 shifts significantly as cohorts mature and is unreliable for cross-snapshot comparisons. DR1 is the primary metric for this analysis. Nano's high DR10 (15.1%) reflects early cohorts with a 7-day term structure; many late-but-repaid loans count as DR10 defaults.

๐Ÿ“ฅ Disbursement Rate โ€” Eligible to Disbursed

Of all clients scored in each band during the pilot period (Mar 2 โ€“ Apr 14), what percentage actually received a loan? This measures offer-to-take-up conversion per eligibility tier. Source: ML.CLIENT_INFO ยท FIRST_FIDO_SCORE.

Eligibility BandScore RangeTotal Eligible (Scored)DisbursedDisbursement Rate
Personal276+27,52418,71868.0%
Counter Offer260โ€“2766,2894,32368.7%
Nano Loan250โ€“2603,9222,32059.2%

Disbursement Rate by Band

Counter Offer
68.7%
Personal
68.0%
Nano Loan
59.2%

Product Routing โ€” What Did Each Band Actually Get?

โ–ผ

Of Nano-eligible clients (250โ€“260) who disbursed, the majority correctly received a Nano loan. A small share were routed to Counter Offer โ€” likely where other business rules elevated them. For Counter Offer-eligible (260โ€“276), a significant portion landed in the Control Group.

Nano Eligible โ€” 3,922 clients

Nano Loan
2,137 (54.5%)
No Loan Disbursed
1,602 (40.8%)
Counter Offer
160 (4.1%)
Personal
23 (0.6%)

Counter Offer Eligible โ€” 6,289 clients

Counter Offer
2,479 (39.4%)
No Loan Disbursed
1,966 (31.3%)
Control Group
1,635 (26.0%)
Personal
209 (3.3%)

Personal Eligible โ€” 27,524 clients

Personal
18,676 (67.9%)
No Loan Disbursed
8,806 (32.0%)
Control Group
30 (0.1%)
Counter Offer
9 (0.0%)

On the 9.5 pp gap: Nano-eligible clients (250โ€“260) convert at 59.2% vs 68.7% for Counter Offer-eligible. Expected โ€” lower-score clients face more disqualifying secondary checks (fraud, KYC, device risk, blacklists). The 40.8% who received no loan represent failed secondary checks or voluntary drop-off, not a product problem.

๐Ÿ” LN1 Clients โ€” Second Loan Conversion

LN1 clients are LN0 borrowers who repaid on or before their due date and received a second disbursement. This measures the pilot's ability to convert first-time borrowers into repeat customers โ€” the primary driver of long-term unit economics.

LN1 Clients โ€” Count by Segment (of on-time LN0 repayers)

Personal
4,888
Counter Offer
596
Control Group
374
Nano Loan
443

Nano Loan โ€” LN1 Conversion by Cohort Week

โ–ผ

The overall 37.7% conversion rate is suppressed by immature cohorts where loans haven't had time to close. The two mature cohorts show a substantially stronger signal โ€” and are the relevant benchmark for evaluating Nano's repeat borrowing thesis.

84.8%

Mar-02 cohort ยท 250 on-time repayers

68.2%

Mar-09 cohort ยท 270 on-time repayers

Cohort WeekTotalOn-Time Repaid% On-TimeLate RepaidOutstandingOn-Time Return RateMaturity
Mar-0239325063.6%2312084.8%Mature
Mar-0947527056.8%3317268.2%Mature
Mar-1648422746.9%525213.2%Maturing
Mar-2351019538.2%03156.7%Maturing
Mar-3047614630.7%03302.7%Too early
Apr-064608518.5%03750.0%Too early
Apr-138733.4%0840.0%Too early

The signal from mature cohorts is strong. Nano borrowers who repay on time return for a second loan at 84.8% (Mar-02) and 68.2% (Mar-09). As more cohorts mature over the next 3โ€“4 weeks, the overall on-time return rate will converge upward from the current 37.7%. The product's retention thesis is holding for borrowers who demonstrate on-time repayment behaviour.

๐Ÿ“‰ Default Rate Analysis (DR1)

DR1 is the most comparable signal across segments โ€” it measures whether a borrower missed their due date at all, and is less sensitive to timing effects than DR10.

SegmentDue (DTR1)Defaulted (DTR1)DR1 %Assessment
Personal5,8471,33722.9%Best โ€” pre-qualified population
Counter Offer77125633.2%In line with Nano / Control
Nano Loan81527433.6%In line with Counter Offer
Control Group52118034.6%In line

Nano DR1 is not a red flag. At 33.6%, it is statistically indistinguishable from Counter Offer (33.2%) and Control Group (34.6%). Personal's lower DR1 (22.9%) reflects its higher-scoring, pre-qualified borrower base โ€” not a product-level difference. Early delinquency risk is equivalent across the three comparable segments.

๐Ÿ’ฐ Commercial Viability โ€” Is Nano Working for Its Target Population?

Nano Loan is designed to offer conservative credit to higher-risk clients (Fido score 250โ€“260) who do not qualify for any standard Fido product. The commercial question is not how it compares to Counter Offer per loan, but whether it generates a viable revenue trajectory from a population that would otherwise produce zero revenue. The projection below uses current DR1 rates and the mature cohort LN1 signal as the basis.

Group B โ€” Non-Eligible Clients (Score 250โ€“260)

Core Nano Population ยท Additive Revenue
LN0 Loan Size
GHS 60
DR1
33.6%
LN1 Clients / 100 (mature cohort)
~57
Projected LN1 DR1
~33%
Revenue projection / 100 LN0
GHS 6,000 LN0 + GHS ~3,400 LN1

This segment generates zero revenue without Nano. The mature cohort LN1 signal (84.8%) shows strong repeat borrowing behaviour. A projected LN1 DR1 of ~33% โ€” applied to ~57 returning clients per 100 โ€” gives a rough LN1 revenue contribution of GHS 3,400 per cohort. Revenue grows as borrowers graduate to larger loans over time.

Group A โ€” Counter Offer-Eligible (Score 260โ€“276)

Conservative Entry for a Riskier Sub-Segment
Standard Product
Counter Offer ยท GHS 148
Nano Entry Loan
GHS 60
DR1 on Nano
33.6%
LN1 Clients / 100 (mature cohort)
~57

Nano acts as a conservative entry point for the riskier sub-segment within the 260โ€“276 band โ€” clients who qualify on score but may carry higher behavioural risk. Starting them on GHS 60 limits credit exposure while building a repayment track record before graduating to Counter Offer. Viability depends on LN1 graduation rate as they move up the ladder.

Projection assumptions: LN1 loan size assumed equal to LN0 (GHS 60) for conservative estimate โ€” no graduation to higher tiers yet in live data. LN1 DR1 assumed at ~33% (same as LN0 โ€” no second-loan data yet to measure improvement). Mature cohort conversion of 84.8% used for LN1 projection. These are directional figures only, not a full P&L model.

Bottom line: Nano is commercially additive โ€” it serves a population that produces no revenue otherwise and shows a strong early retention signal. The path to stronger unit economics runs through the LN1 graduation pipeline: on-time Nano repayers should be graduating to larger Counter Offer or Personal loans, not cycling at GHS 60 indefinitely. Fix that pipeline and the revenue trajectory improves materially.

โœ… Recommended Actions

๐Ÿ”ง Data Notes

Segment Classification Logic

โ–ผ
CASE
  WHEN loan_product_id LIKE '%UCNLL_%' THEN 'Nano Loan'
  WHEN loan_product_id LIKE '%AC%' THEN 'Counter Offer'
  WHEN loan_product_id LIKE '%UCLL%' AND fido_model = 'GH_CONTROL_GROUP' THEN 'Control Group' -- JIRA spec '%CG%' is incorrect
  WHEN loan_product_id LIKE '%UCLL%' AND fido_model LIKE 'GH_FIDO_MODEL%' THEN 'Personal'
END AS segment

-- On-time definition
paid_on_time = is_repaid = TRUE AND dtr <= 0

-- Filters: LN=0, disbursed, Mar 2 2026 onwards
WHERE ln = 0 AND disbursementdate IS NOT NULL AND disbursementdate >= '2026-03-02'

Return rate is computed by joining LN0 clients to the full loan_info_tbl to find any subsequent disbursement (LN โ‰ฅ 1). On-time return rate denominates only over clients with is_repaid = TRUE AND dtr <= 0.