ecommerce metrics: turn customer data into actionable insight

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Page 1: eCommerce Metrics: Turn Customer Data Into Actionable Insight

Tweet us with your store name to

@VantageAnalytic for your chance to

win a Free Campaign! #eComTO

Page 2: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHERE DO YOU GO FOR

METRICS/INSIGHT?

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Page 3: eCommerce Metrics: Turn Customer Data Into Actionable Insight

AGENDA

1. Some Top Metrics

- Repeat Customer Rate

- Abandon Rate

2. Turning Insight into Action

3. Discussion

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Page 4: eCommerce Metrics: Turn Customer Data Into Actionable Insight

REPEAT CUSTOMER RATE

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Page 5: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHAT IS REPEAT CUSTOMER RATE?

The percent of customers who have purchased

more than once.

This value varies widely across store categories:

• Clothing: 8%

• Gifts & Souvenirs: 6%

• Smoking Products: 23%

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Page 6: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHY IS REPEAT CUSTOMER RATE

CRUCIAL?

• This is the easiest customer segment to target with

marketing campaigns

• They are your brand ambassadors

• Average Repeat Customer rate across our

merchants: 8%

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Page 7: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHY IS REPEAT CUSTOMER RATE

CRUCIAL?

Repeat Customers tend to spend more than first time

purchasers

Store Category Percent Increase

Electronics/Appliances 56%

Hobby/Toy/Sporting Good 50%

Health and Personal Care 22%

Furniture/Home Furnishings 34%

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Page 8: eCommerce Metrics: Turn Customer Data Into Actionable Insight

TIMING OF REPEAT PURCHASESAnonymized Store X

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Optimal Time To Re-engage

Page 9: eCommerce Metrics: Turn Customer Data Into Actionable Insight

ABANDON RATE

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Page 10: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHAT IS ABANDON RATE?

• The percentage of all checkouts that were started

but never completed

• For the average shop, approximately half the

checkouts that are filled out, will be abandoned.

• A cart can be abandoned once, a customer can

abandon multiple times

• Abandon Rates in the last 90 Days across store

categories:

Clothing: 32.9%, Jewelry: 26.9%, Furniture: 42.2%

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Page 11: eCommerce Metrics: Turn Customer Data Into Actionable Insight

WHY IS ABANDON RATE IMPORTANT?

• Unique to ecommerce - take advantage of this!

• Rethink how your customers abandon carts –the customer lifecycle.

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Page 12: eCommerce Metrics: Turn Customer Data Into Actionable Insight

Customer: Paula

Checkout 1, Monday:

Abandoned Carts: 100% (1 of 1)

Abandoned Customers: 100% (1 of 1)11

Page 13: eCommerce Metrics: Turn Customer Data Into Actionable Insight

Customer: Paula

Checkout 2, Wednesday:

Abandoned Carts: 100% (2 of 2)

Abandoned Customers: 100% (1 of 1)12

Page 14: eCommerce Metrics: Turn Customer Data Into Actionable Insight

Customer: Paula

Checkout 3, Friday:

Abandoned Carts: 100% (3 of 3)

Abandoned Customers: 100% (1 of 1)13

Page 15: eCommerce Metrics: Turn Customer Data Into Actionable Insight

Customer: Paula

Checkout 4, Saturday:

Abandoned Carts: 75% (3 of 4)

Abandoned Customers: 0% (0 of 1)

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Page 16: eCommerce Metrics: Turn Customer Data Into Actionable Insight

HOW DO I DECREASE MY ABANDON

RATE?

• Find these customers and reach out to them

post abandon

• Consider different types of abandon rates –

Customer Abandon Rate vs. Cart Abandon Rate

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Page 17: eCommerce Metrics: Turn Customer Data Into Actionable Insight

TURNING THESE METRICS INTO

ACTIONS

1. Target the right PEOPLE

2. Target those people with the right CAMPAIGN: CHANNEL, OFFER, CALL TO ACTION

3. Target those people with a campaign at the right TIME

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Page 18: eCommerce Metrics: Turn Customer Data Into Actionable Insight

ACTION YOUR INSIGHT

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Page 19: eCommerce Metrics: Turn Customer Data Into Actionable Insight

MEASURE YOUR RESULTS

Revenue – Return on Investment, Average Order Value

Orders – Average Order Size

Customers – Number of New Registrations

Click Through Rate, Reach, Impressions….

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Page 20: eCommerce Metrics: Turn Customer Data Into Actionable Insight

THANK YOU FOR COMING!

@VantageAnalytic

www.VantageAnalytics.com

[email protected]

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