Demo Workspace
Feature Usage
Default: English
Average Adoption
50.38%
eligible merchant usage
Average Stickiness
45.73%
repeat usage signal
At-risk Accounts
82
need owner action
Influenced Revenue
$1.34M
linked retained revenue
Feature Usage Health
Adoption, stickiness and usage depth by feature
Feature Usage Diagnostics
Use feature-level evidence to decide onboarding, lifecycle, product and CSM actions.
Feature usage joins product events, eligibility rules, revenue retention, support friction and uninstall signals.Data source
Data item
Real source
How to get it
Notes / limits
Eligible merchants
Feature eligibility rules
Match merchant plan, region, lifecycle and product scope
This is a business rule, not a raw Shopify field.
Active feature usage
Product event tracking
Track meaningful feature actions
A page view should not count as adoption.
Retention lift / revenue
Billing + cohort model
Compare adopted and non-adopted merchants
This is an analytical estimate.
Support / uninstall signals
Zendesk/Gorgias + Shopify webhook
Join tickets and uninstall events by merchant
Reasons still need survey or follow-up enrichment.
Source systems
Product analytics, Shopify merchant table, billing, support system, uninstall survey and CRM owner map.
Join keys
merchant_id, shop_domain, feature_key, event_date
Demo scope
Mock rows derive eligible accounts, active accounts, adoption, stickiness and risk from prepared usage and retention data.
Production integration
In production, define a feature taxonomy, instrument key events, build eligibility rules, then join usage with billing, support and uninstall evidence.
Feature Usage Field FormulasScore formula
These formulas explain the fields in the feature usage diagnostics table.
Adoption Rate
Range: 0-100%Adoption Rate = Active accounts / Eligible accounts x 100%.
Weights / factors
- - Active accounts must complete the defined key action for the feature.
- - Eligible accounts are merchants that should reasonably use the feature.
- - Example: Shipment Tracking adoption = 146 / 215 x 100% = 67.91%.
Interpretation
Low adoption means the feature may need onboarding, lifecycle nudges or product simplification.
Data source
Product event tracking and feature eligibility rules.
Usage Depth
Range: 0-100Usage Depth = Adoption coverage score x 40% + Frequency score x 30% + Retention value score x 30%.
Weights / factors
- - Adoption coverage score = Adoption rate.
- - Frequency score = Min(100, Weekly usage frequency / Target weekly frequency x 100%). Demo target is 6 times per week.
- - Retention value score = Min(100, GRR lift / Target GRR lift x 100%). Demo target is 20 percentage points.
- - The 40/30/30 weights mean coverage is slightly more important, while repeated use and retention value are equally important.
Interpretation
Higher depth means merchants are not only enabling the feature but using it in a value-driving way.
Data source
Feature events, billing retention cohorts and usage model.
Stickiness
Range: 0-100%Stickiness = Weekly repeat accounts / Active accounts x 100%.
Weights / factors
- - Weekly repeat accounts means merchants that completed the feature key action more than once in the same week.
- - Example: Shipment Tracking stickiness = 92 / 146 x 100% = 63.01%.
Interpretation
Higher stickiness means merchants are returning to the feature repeatedly, not only trying it once.
Data source
Product event tracking by merchant, feature and week.
At-risk Accounts
Range: CountAt-risk Accounts = Merchants that have not adopted the feature and meet churn, usage, support or uninstall risk rules.
Weights / factors
- - Rules can include GRR < 80%, NDR < 100%, high churn risk, negative support or early uninstall signal.
Interpretation
Higher count means the feature has more urgent rescue or adoption potential.
Data source
Feature usage, merchant health, billing, support tickets and uninstall events.
| Feature | Eligible Accounts | Active Accounts | Adoption Rate | MoM | Weekly Frequency | Usage Depth | Weekly Repeat Accounts | Stickiness | GRR Lift | At-risk Accounts | Support Friction | Uninstall Signal | Owner | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Shipment Tracking | 215 | 146 | 67.91% | -4.09 pts | 5.80 / week | 84.66 | 92 | 63.01% | +19.00 pts | 21 | Medium | Abandoned before setup | Product Growth | Use this feature as a retention and expansion play for qualified accounts. |
| Returns Management | 214 | 94 | 43.93% | +4.93 pts | 3.10 / week | 49.57 | 39 | 41.49% | +11.00 pts | 16 | High | Pricing and returns workflow questions | Returns PM | Package this feature into onboarding and lifecycle nudges. |
| Checkout Notification | 216 | 123 | 56.94% | -4.06 pts | 4.40 / week | 62.78 | 64 | 52.03% | +12.00 pts | 19 | Medium | Notification value unclear | Lifecycle PM | Use this feature as a retention and expansion play for qualified accounts. |
| Cross-border Rules | 216 | 67 | 31.02% | +2.02 pts | 2.30 / week | 47.91 | 19 | 28.36% | +16.00 pts | 12 | Low | Strongly linked to cross-border merchants | International PM | Package this feature into onboarding and lifecycle nudges. |
| Analytics Export | 215 | 112 | 52.09% | +2.09 pts | 2.80 / week | 51.34 | 49 | 43.75% | +11.00 pts | 14 | Low | Expansion signal for mature accounts | Analytics PM | Use this feature as a retention and expansion play for qualified accounts. |
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