TOMOGO! Product Improvement Insights from Marketing Data

Actionable product and development recommendations derived from marketing analytics
2026-04-28 / For Dev & Product Team

1 Summary

Marketing data reveals clear product improvement opportunities.

APP CVR
1.22%
View Home → Complete Booking
WEB CVR
0.18%
View Tour Detail → Complete Booking
Key Insight
The 7x CVR gap is not a marketing problem — it's a product UX problem.
Users who understand TOMOGO! through the web before installing convert at 5-7x higher rates in-app. Whether they arrive "educated" or not determines everything.

2 APP: Onboarding is the Biggest Bottleneck

Data

Metric Direct Install WEB Conv → Install Gap
AppContentView / Install 96-127% 568-760% 5-7x
AppSearch / Install 56-60% 239-320% 4-5x
Insight
Users who land directly in the app from install ads don't understand what TOMOGO! offers. They browse minimally (1 tour view per install) and leave. Users who first visited the website understand the value proposition, install intentionally, and browse actively (6-8 tour views per install).

User Flow Comparison

Direct Install (current majority):

Ad Click
Install
"What is this?"
Drop-off

WEB Conv → Install (ideal flow):

Ad Click
Browse Web
Understand Value
Install
Active Usage
Recommendation

3 APP: Fix the Tour Leader Selection Loop

Data

r = -0.82
Meta CartAdd vs Bookings Correlation
Negative
More confirmation views = Fewer bookings
Problem
More users reaching the confirmation screen correlates with fewer actual bookings (r = -0.82).
Root cause: Users reach confirmation → see Tour Leader selection → go to TL Detail Page → come back → try another TL → repeat loop (decision paralysis).

Current Flow (Problem)

Tour Detail
Book Now
Confirmation
TL selection
TL Compare Loop
Drop-off

Improved Flow (Proposed)

Tour Detail
TL profiles shown
TL Decided
Book Now
Confirmation
TL info only
Booking Complete
Recommendation (aligns with dev team's existing plan)

4 WEB: Fix 91% Funnel Drop-off

Web Funnel Data (Amplitude 4/10-4/26)

541 UU
View Tour Detail Page
48 UU
Complete Checkout Date Time
91.1% drop
1 UU
Complete Booking
CVR 0.18%

APP vs WEB Funnel Comparison

APP
1.22%
1,807 UU → 22 Bookings
WEB
0.18%
541 UU → 1 Booking

Session Replay Behavioral Patterns

Behavior % Implication
Navigate to another tour detail (comparison fatigue) 58.6% No related tour suggestions
External traffic (no way to browse back) 37% Missing browse navigation
Auth Dialog completion rate 10% Authentication is a major barrier
Recommendations (Priority Order)
  1. Add "Related Tours" section (3-5 same-area tours) to tour detail pages — #1 priority from dev team analysis
  2. Implement guest checkout (confirmed in 4/27 meeting) — Auth Dialog's 10% completion rate is critical
  3. Add "Recently Viewed" section for returning visitors
  4. Improve calendar loading speed (functional issue)
  5. Suppress app download banner after first dismissal per session

5 WEB: Maximize WEB-to-Install Path

Data

685%
WEB Conv → Install AppCV Rate
96%
Direct Install AppCV Rate
4.6/day
Avg Bookings on WEB Purchase Days
2.3/day
Avg Bookings on Normal Days
Insight
The website is functioning as an "education layer."
Users who browse the site before installing are pre-qualified and convert at dramatically higher rates. The site's role is not just direct conversion — it's creating high-quality app users.
Recommendation

6 Content: Browsing Experience Design Guidelines

Content Performance Data

Tour / Category Characteristic Product Implication
Secret Tokyo #1 in both views and bookings Position as anchor content prominently
Omakase (customizable) Scales best in high-demand periods Expand personalization features
Asakusa Consistent performer across all months Evergreen content — always visible
Bar Hopping High male engagement, reactivation of existing users Hook for retention campaigns
Content Priorities for WEB and APP
  1. Feature Secret Tokyo / Omakase prominently at the top
  2. Increase Tour Leader profile visibility — TL-fronted content converts better (e.g., Yanaka Ad 74% female, Rin 2 Ad 63.8% female)
  3. Area-based browsing (related tours in same area) — matches user behavior (58.6% navigate to another tour)
  4. "Local insider" content theme — SNS analysis shows it drives bookings 7-14 days later

6b Coupon UX Improvement — 75.7% of First Bookings Use No Coupon

75.7% of First Bookings (305/403) are made without any coupon. The ebr20 coupon is delivered via in-app chat (Admin→Guest message), but users have no reason to check chat immediately after install, resulting in 90%+ oversight rate.

Coupon Distribution Channels

ChannelMethodUsage RateIssue
ebr20Auto-sent via in-app chat (Admin message) at Install9.2% of First BKNo motivation to open chat. 90%+ missed
WEL20WELCOME email after CA2.5% of First BKEmail volume -82% after CA flow change

Improvement Recommendations

#AreaCurrentRecommended
1Coupon visibilityHidden in chat box onlyAdd "Unused Coupon" section to profile/my page. Home screen badge notification
2Auto-apply in booking flowManual coupon code entry requiredShow "Apply 20% OFF" one-tap button on checkout if unused coupon exists
3LP/Website coupon promotionNo coupon info on website"First tour 20% OFF in the app" banner on tour detail pages. Drives Install + coupon awareness
4Push notification reminderMoEngage does not promote couponsScale "First coupon reminder" Push (CVR 14.3%) to all CA users. Remind at Day 3/7 post-install
5Cart abandon Push expansion4 deliveries/month. CVR 25.0%Relax trigger conditions to scale volume. Highest ROI Push campaign
MoEngage Push shows 2.5x CVR (9.1% vs 3.6% baseline) but only 5 bookings/month. Behavioral trigger Pushes (cart abandon CVR 25%, first coupon CVR 14.3%) are the highest-ROI improvement opportunity. MoEngage is used exclusively for re-engagement, not coupon distribution, but adding coupon reminders to Push notifications has significant potential.

7 Measurement Improvement Proposals

Current Gaps

Issue Impact Status
UTM tracking broken since 1/16 AppsFlyerOneLink × Amplitude mapping incomplete In progress (large project)
Wix LP → main site traffic not tracked Incomplete web traffic picture Not started
Amplitude has no gender data for app users "Women discover → men book" hypothesis unverifiable in-app Not started
Web funnel data only available since 4/10 Need 30+ days for reliable analysis Accumulating
Improvement Priority
  1. Fix UTM mapping (Miyanishi team — large project, in progress)
  2. Add gender property to Amplitude user profiles
  3. Implement cross-platform journey tracking (Web session → App install → App booking)
  4. Set up weekly automated funnel report (Web + App side by side)