PasarPolis Analytics · Gojek Indonesia · Optimizer

Optimizer

Money on the table — with one-click rollout

Updated 3 sec ago

You're 62% of the way to $50M

Recommendations below could add Rp 2.3B/month if all rolled out.

$31.2M$50M
EOY projection$52M on track
Without Optimizer$43M projected
8 recommendations · sorted by revenue lift

Enable opt-out-default for sub-Rp 25K GoFood orders

+Rp 620M/moMedium riskOne-click

Currently opt-in for all orders. Switching to opt-out-default for low-value orders showed +8.4pp attach in test (already running). Complaint rate rose 0.3pp — below threshold. Rolling out to full Indonesia could add ~1.2M new policies/month.

Why this works
  • Test cohort already shows +8.4pp attach lift.
  • Complaint delta below OJK threshold (0.3pp vs 1.0pp).
  • Low-value orders carry minimal claim severity risk.
Based on
Live test cohort (Jakarta)OJK complaint thresholdsClaim severity model
The math
Affected customers
~14M GoFood orders/month
Current annual revenue
Rp 9.0B
Projected annual revenue
Rp 16.4B
Net lift
Rp 7.4B/year (+82%)
Complaint risk
Medium — +0.3pp observed in test, below 1.0pp OJK threshold.
Confidence
91% (live test data)

Cross-sell GoSend Travel to GoRide Safe holders in cargo regions

+Rp 410M/moLow riskConfiguration

Customers who hold GoRide Safe and live in Bekasi, Tangerang, or Bogor send packages 4.1x the national average. Pushing GoSend Travel to this segment via in-app card could attach 18% at first touch.

Why this works
  • Geographic + product-holding overlap signals intent.
  • GoSend shipping frequency is 4.1x national average in target regions.
  • In-app card slot already available — no new surface needed.
Based on
Cross-product cohort matrixRegional shipping dataSlot inventory audit
The math
Affected customers
~98,000 customers
Current annual revenue
Rp 1.6B
Projected annual revenue
Rp 6.5B
Net lift
Rp 4.9B/year (+306%)
Complaint risk
Low — opt-in flow.
Confidence
79%

Activate Auto-protect bundle for 142K GoRide-only renewers

+Rp 380M/moLow riskOne-click

142,000 drivers renewed GoRide Safe last year but were never offered the bundled Auto-protect upgrade. At baseline attach rate (38%), activating the bundle at next renewal could capture ~54,000 new Auto-protect policies.

Why this works
  • Renewal moment has 3.1x higher attach than cold offers.
  • Auto-protect is the natural step-up product for active GoRide drivers.
  • Bundle pricing already validated in Surabaya pilot (Q2 2025).
Based on
Renewal cohort data (last 12 months)Surabaya bundle pilot resultsAttach-rate elasticity model v3
The math
Affected customers
142,000 GoRide drivers
Current annual revenue
Rp 4.2B
Projected annual revenue
Rp 8.8B
Net lift
Rp 4.6B/year (+110%)
Complaint risk
Low (similar bundle showed +0.2pp complaint rate in past test)
Confidence
87% (based on 3 prior tests of similar bundles)

Push 30-day renewal reminder via WhatsApp instead of in-app

+Rp 290M/moLow riskEngineering required

In-app renewal reminder has 18% open rate. WhatsApp reminder pilot showed 67% open rate, 31% renewal lift. Rolling out requires WhatsApp Business API integration (2 weeks engineering).

Why this works
  • WhatsApp open rates 3.7x in-app for Indonesian audience.
  • Renewal moment has highest attach leverage of any touchpoint.
  • Pilot already validated channel.
Based on
Channel open-rate studyRenewal cohort dataWhatsApp pilot results
The math
Affected customers
~620K renewals/month
Current annual revenue
Rp 9.2B
Projected annual revenue
Rp 12.7B
Net lift
Rp 3.5B/year (+38%)
Complaint risk
Low — opt-out available, message frequency capped.
Confidence
88%

Lower GoFood Auto-protect premium 20% in Tier-2 cities for 14 days

+Rp 240M/moLow riskOne-click

Tier-2 city customers show 3.2x higher price sensitivity than Jakarta/Surabaya. A 20% test reduction (Rp 1,000 → Rp 800) is projected to lift attach 4.8pp, more than offsetting per-unit margin loss.

Why this works
  • Tier-2 price elasticity is 3.2x Jakarta baseline.
  • Volume lift more than offsets margin compression.
  • 14-day window contains regulatory risk.
Based on
Tier-2 elasticity studyJakarta vs. Bandung A/B 2025-03Margin model
The math
Affected customers
~480,000 Tier-2 customers
Current annual revenue
Rp 2.1B
Projected annual revenue
Rp 5.0B
Net lift
Rp 2.9B/year (+138%)
Complaint risk
Low — no coverage change, only price.
Confidence
82%

Raise GoPay Device deductible from Rp 250K to Rp 500K

+Rp 180M/moMedium riskConfiguration

Average claim severity Rp 6.84M, but bottom 30% of claims are under Rp 500K and drive 22% of operational cost. Higher deductible filters these out, improves loss ratio 4pp, partners see commission rise.

Why this works
  • Small claims drive disproportionate operational cost.
  • Loss ratio improvement flows directly to partner commission.
  • Deductible still well below market average for the category.
Based on
Claims severity distributionOperational cost modelMarket benchmark
The math
Affected customers
~840K active GoPay Device policies
Current annual revenue
Rp 12.0B (loss)
Projected annual revenue
Rp 9.8B (loss)
Net lift
Rp 2.2B/year in reduced losses
Complaint risk
Medium — customers with sub-Rp 500K claims will see deductible eat coverage.
Confidence
85%

Add 'Diatur OJK' badge to GoPay Device checkout

+Rp 120M/moNo riskOne-click

Trust badge experiment showed +5.7pp attach in Bandung pilot. Rolling out to all cities is a pure win — no complaint risk, no margin impact, just better trust signaling.

Why this works
  • OJK badge is the highest-trust regulatory signal in ID.
  • Bandung pilot lift was statistically significant at 99%.
  • Zero margin/coverage change — purely presentational.
Based on
Bandung pilot resultsTrust signal A/B repository
The math
Affected customers
~3.2M GoPay Device sessions/month
Current annual revenue
Rp 1.8B
Projected annual revenue
Rp 3.2B
Net lift
Rp 1.4B/year (+78%)
Complaint risk
None — no functional change.
Confidence
94%

Sunset GoRide Safe 'Lite' SKU — drives 0.8% revenue, 4.2% complaints

+Rp 80M/moHigh riskConfiguration

Lite SKU was a 2024 experiment to test ultra-low premium pricing. It drives <1% of revenue but 4.2% of all complaints (mostly 'coverage too limited' confusion). Sunsetting and migrating customers to standard SKU improves NPS and complaints.

Why this works
  • Revenue contribution negligible (0.8%).
  • Complaint share disproportionate (4.2%).
  • Migration path to Standard SKU is well-priced (+Rp 200).
Based on
Complaint taxonomy analysisRevenue contribution per SKUNPS by SKU
The math
Affected customers
~38,000 Lite policy holders
Current annual revenue
Rp 0.9B
Projected annual revenue
Rp 1.8B (after migration to Standard)
Net lift
Rp 0.9B/year + reduced support cost
Complaint risk
High — sunsetting is always reputationally risky. Phased migration recommended.
Confidence
72%