Artisan VP of Customer Operations, Dave Frigeri and Business Intelligence Specialist, Corey Crawford identify key performance indicators for mCommerce apps and provide tips and ideas to A/B test and improve the indicators in order to increase app revenue.
2. The Primary Goal of an mCommerce App is to
Drive Revenue
Revenue generation in
mCommerce is less
efficient than traditional
ecommerce. As mobile
eats away at the
ecommerce pie, it’s
paramount that this
problem is solved.
3. What are Potential Customers Looking For?
Clear/detailed product images
Easy/secure checkout
Product descriptions
Easy product search
Personalization
Easy/clean user interface
0% 10% 20% 30% 40% 50% 60% 70% 80%
Source: Artisan 2013 Holiday Survey of 510 mCommerce Shoppers
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7. KPI: Count of First App Purchases
Defined: The count of first time app users making a
purchase.
Significance: Understanding how many new mobile users
are successfully entering an app and making a purchase
sheds light on how effectively an app is attracting new
users as well as the success of the overall funnel.
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8. KPI: Sign-up Conversion Rate
Defined: The percent of app downloads that result in a
user signing-up for the app.
Significance: App users who sign-up for an app signal that
they are engaged enough to create a log-in. With app
downloads largely being viewed as a vanity metric, sign-up
acquisitions is a more effective measure of app reach.
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9. KPI: Sign-in Conversion Rate
Defined: The percentage of sessions that result in a user
sign-in.
Significance: Sign-in conversion rate provides insight into
the user’s intentions when opening the app. A low sign-in
conversion rate signals that the sign-in process may be too
complex and deterring users from navigating further into
the app.
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10. KPI: Catalog Click Through Rate
Defined: The percentage of home screen views that result
in a product being clicked and a user navigating to a
product detail screen.
Significance: This signals that a user is interested and
engaged with the app and has found a particular product
interesting enough to seek out additional information.
Catalog click through rate is a reflection of the success of
the catalog screen.
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11. TESTING IDEA: Simplify the sign-in process by changing
the home screen to a sign-in.
VS
Primary Objective: Increase sign-up acquisitions and sign-in conversion rate
12. TESTING IDEA: Move the promotion earlier in the funnel to the product catalog screen.
VS
Primary Objective: Increase catalog click through rate
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15. The mid-funnel provides
potential buyers with
relevant information about
a specific product in order
to entice them into making
a purchase.
Primary Objective: Engage
and inform potential buyers
about a specific product
and entice them into
initiating a purchase.
16. KPI: Average Referrals Per User
Defined: The average number of in app referrals made per
user.
Significance: User referrals signal that a user is socially
invested in the app enough to recommend it to others.
These app users are engaged with the brand which is
correlated with increased purchases and time in app.
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17. KPI: Add to Cart Conversion Rate
Defined: The percentage of product detail screen views
that result in a product being added to the shopping cart.
Significance: Adding a product to a shopping cart is an
integral part of the buying process that signals an intent to
purchase. This KPI measures the success of the product
detail screen.
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24. KPI: Checkout Conversion Rate
Defined: The percentage of transactions that are ultimately
purchased after reaching the add to cart stage.
Significance: Check out conversion rate measures the
transactional performance of the bottom of the funnel and
ultimately an app’s ability to convert browsers into buyers.
A low check out conversion rate signals an inefficient
check-out process.
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25. KPI: Cart Abandonment Rate
Defined: The percentage of product detail screen views
that DO NOT result in a product being added to the
shopping cart.
Significance: Similar to check out conversion rate, cart
abandonment rate provides insight into the checkout
process and can determine if app users truly had an
intention of buying a product.
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