Maximizing Subscription Revenue: How 3 businesses increased their subscription revenue by...

Preview:

DESCRIPTION

Would you, as a marketing professional, prefer short-term profit or long-term growth? Although the answer should be obvious, in a hyper-competitive market, subscription marketers continue to opt for the former instead of the latter. Before discounting subscription products in an effort to increase conversions, you should consider the following questions: • How do you know that your current discounted pricing isn’t hurting your product's long-term value proposition? • How do you know you found the optimized price for your product? • Is a single price point or product appropriate for all prospective customers? • Do you know which aspect of the product customers value most? • How do you retain customers at a price point that maximizes revenue in the long-term? However large your company, it’s important to analyze the role that discounting plays in the overall subscription strategy. Marketers will learn what to consider before discounting products, as well as risk mitigation strategies inherent in long-term promotional offers.

Citation preview

Maximizing Subscription RevenueHow 3 businesses increased their subscription revenue by discovering the optimal pricing strategy

We’re sharing on Twitter!#WebClinic

#WebClinic

Today’s speaker

Flint McGlaughlin—Managing Director, MECLABS Institute

Flint McGlaughlin is Managing Director of MECLABS Institute. The organization has partnered with key market leaders including The New York Times, Microsoft Corporation and Reuters Group.

McGlaughlin also serves as the Director of Enterprise Research at the Transforming Business Institute, University of Cambridge (U.K.), as the Chairman of the Board of Governors for St. Stephen’s University and as a Trustee for Westminster Theological Centre. McGlaughlin originally studied philosophy and theology at the University of London’s Specialist Jesuit College.

Today, his primary research is focused on enterprise as transformative agent. His work has won multiple awards and has been quoted in more than 13,000 online and offline sources.

#WebClinic

Experiment: Background

Background: A software as a service (SaaS) company that offers membership access to their products online.

Goal: Increase paying subscribers and increase revenue.

Research Question: Which price point will increase subscribers as well as increase revenue?

Test Design: A/B split test

Experiment ID: TP 11074Record Location: MECLABS Research LibraryResearch Partner: (Protected)

#WebClinic

Experiment: Control

• Customers land on this page after choosing the Basic Membership Product to select length of service.

*Anonymized

#WebClinic

Experiment: Treatment

• All subscriptions were discounted by 22% to attempt to drive more subscribers to longer subscription durations.

*Anonymized

#WebClinic

Experiment: Side-by-side comparisonControl Treatment

Audience Question: Which pricing strategy had the greatest results??

*Anonymized

#WebClinic

Design Total Conversions Total Revenue

Control 3.6%

Treatment (22% Discount) 4.3%

% Relative Change 19.44%

Experiment: Results

Relative increase in total conversions19%The treatment resulted in a 19.44% relative increase in total conversions.

#WebClinic

Design Total Conversions Total Revenue

Control 3.6% $19,425

Treatment (22% Discount) 4.3% $17,535

% Relative Change 19.44% 9.73%

Experiment: Results

Relative decrease in total revenue10%The treatment resulted in a 9.73% relative decrease in total revenue.

#WebClinic

Design Total Conversions Total Revenue

Control 3.6% $19,425

Treatment (22% Discount) 4.3% $17,535

% Relative Change 19.44% 9.73%

Experiment: Results

Relative decrease in total revenue10%The treatment resulted in a 9.73% relative decrease in total revenue.

The discounted option increased conversions but decreased revenue.

#WebClinic

Experiment: Background

Background: Online sex offender registry service for parents concerned about neighborhood safety.

Goal: To discover the optimal pricing point for the subscription.

Research Question: Which pricing strategy will generate the greatest results?

Test Design: A/B split test

Experiment ID: TP4002Record Location: MECLABS Research LibraryResearch Partner: Protected

#WebClinic

Experiment: Subscription details

• Customers get instant access to the database, all reports and maps of offenders in the area.

*Anonymized

#WebClinic

Experiment: Subscription price testing

$6 a month for full access.

Control

$6 per month.+ $20 activation fee

Treatment

Audience Question: How will the $20 activation fee impact results??

*Anonymized

#WebClinic

Design Total Conversions Total Revenue

Control 2.4%

Treatment ($20 Activation Fee) 2.4%

% Relative Change 0%

Experiment: Results

No statistical change in conversions0%The $20 activation fee did not have any statistical effect on conversions.

#WebClinic

Design Total Conversions Total Revenue*

Control 2.4% $15,792

Treatment ($20 Activation Fee) 2.4% $31,488

% Relative Change 0% 99.39%

Experiment: Results

Relative increase in total revenue99%Adding a $20 activation fee had a 99.39% relative increase in total revenue.

*Average lifetime customer value

#WebClinic

Design Total Conversions Total Revenue*

Control 2.4% $15,792

Treatment ($20 Activation Fee) 2.4% $31,488

% Relative Change 0% 99.39%

Experiment: Results

Relative increase in total revenue99%Adding a $20 activation fee had a 99.39% relative increase in total revenue

*Average Lifetime Customer Value

The increased price had no impact on conversions but had a huge impact on total revenue.

#WebClinic

Price testing problem

1st Experiment

2nd Experiment

Conversions

Revenue

Conversions

Revenue

Discount

Added $20 Activation Fee

#WebClinic

Marketers Ask:“With so many different factors at play, how do we discover the optimal pricing for our subscriptions?”

#WebClinic

Price testing

11%Revenue

36%In Paid Subscriptions

609%Capture Rate

112%In Conversion

41%Revenue/Conversion

43%Conversion Rate

163%Revenue

99%Revenue

12%Click Through Rates

69%Revenue

Today, we will walk through three major price testing pitfalls we’ve observed from over 15 years of

optimization research to help you discover your optimal pricing offering.

#WebClinic

Pitfall #1: Beware of metric isolation

#WebClinic

Background: A large media company offering various subscription options.

Goal: To determine the optimal pricing point after the introductory rate.

Research Question: Which price point will generate the greatest return?

Test Design: A/B split test

Experiment ID: TP 1739Record Location: MECLABS Research LibraryResearch Partner: (Protected)

Pitfall #1: Metric isolation

#WebClinic

Experiment: Price test background

$0.99 Introductory Price: After the introductory price ends, the customers incur the regular rate.

*Anonymized

#WebClinic

Experiment: Treatment

Design Test Price Variable

Price 1 $0.99

Price 2 $1.99

Price 3 $2.99

Price 4 $3.99

Price 5 $4.99

Audience Question: Which price generated the greatest results??

#WebClinic

Experiment: Key metrics

Design Test Price Variable

Initial Conversion Rates

Cancellation Rate After Introduction Period

Revenue Per Subscriber

Price 1 $0.99 2.18%

Price 2 $1.99 1.95%

Price 3 $2.99 1.80%

Price 4 $3.99 1.65%

Price 5 $4.99 1.47%

Conversion rates

#WebClinic

Design Test Price Variable

Initial Conversion Rates

Cancellation Rate After Introduction Period

Revenue Per Subscriber

Price 1 $0.99 2.18% 41%

Price 2 $1.99 1.95% 51%

Price 3 $2.99 1.80% 56%

Price 4 $3.99 1.65% 57%

Price 5 $4.99 1.47% 60%

Experiment: Key metrics

Cancellation rates

#WebClinic

Design Test Price Variable

Initial Conversion Rates

Cancellation Rate After Introduction Period

Revenue Per Subscriber

Price 1 $0.99 2.18% 41% $36.46

Price 2 $1.99 1.95% 51% $61.73

Price 3 $2.99 1.80% 56% $82.54

Price 4 $3.99 1.65% 57% $112.13

Price 5 $4.99 1.47% 60% $130.42

Experiment: Key metrics

Revenue per subscriber

#WebClinic

The metric narrative

0%

10%

20%

30%

40%

50%

60%

70%

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

1 2 3 4 5

Cancellation

Total Revenue

$0.99 $1.99 $2.99 $3.99 $4.99

#WebClinic

The metric narrative

0%

10%

20%

30%

40%

50%

60%

70%

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

1 2 3 4 5

Cancellation

Total Revenue

$0.99 $1.99 $2.99 $3.99 $4.99

When price testing for subscriptions, we must be careful not to focus on only one

metric such as conversion. It is not about a metric; it is about the metric narrative.

#WebClinic

DesignTest Price Variable

Initial Conversion Rates

CancellationRate

Revenue Per Subscriber

TotalRevenue

Price 1 $0.99 2.18% 41% $36.46 $17,172.54

Price 2 $1.99 1.95% 51% $61.73 $26.048.01

Price 3 $2.99 1.80% 56% $82.54 $31,611.53

Price 4 $3.99 1.65% 57% $112.13 $45,189.15

Price 5 $4.99 1.47% 60% $130.42 $39,386.81

Experiment: Results

Relative increase in total revenue163%Price 4 had a 163.1% relative increase over the highest converting option (Price 1).

#WebClinic

The metric narrative

0%

10%

20%

30%

40%

50%

60%

70%

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

1 2 3 4 5

Cancellation

Total Revenue

$0.99 $1.99 $2.99 $3.99 $4.99

#WebClinic

The metric narrative

0%

10%

20%

30%

40%

50%

60%

70%

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

1 2 3 4 5

Cancellation

Total Revenue

$0.99 $1.99 $2.99 $3.99 $4.99

#WebClinic

The metric narrative

0%

10%

20%

30%

40%

50%

60%

70%

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

1 2 3 4 5

Cancellation

$45,189.15

$0.99 $1.99 $2.99 $3.99 $4.99

By only focusing on conversions, you may miss out on other factors that

impact revenue more directly.

#WebClinic

Pitfall #2: Beware of value deflation

#WebClinic

Background: A large media company offering various subscription products.

Goal: To determine the optimal pricing point after the introductory rate.

Research Question: Which price point will generate the greatest return?

Test Design: A/B split test

Experiment ID: TP 11087Record Location: MECLABS Research LibraryResearch Partner: (Protected)

Pitfall #2: Value deflation

#WebClinic

Experiment: Control• Customers are presented with

an offer of “50% off Home Delivery for 12 Weeks with free digital access.”

*Anonymized

#WebClinic

Experiment: Treatment• If the order is not completed

within a certain time, a pop-up appears with an incentive for an additional four weeks at 50%

*Anonymized

#WebClinic

Experiment: Side-by-side comparison

Control Treatment

Audience Question: Which treatment had the greatest results??

#WebClinic

DesignTotal

ConversionsRelative

DifferenceAggregate

LOC

Control 17.2% - -

Treatment 16.5% - 4.03%

% Relative Change: -4.03%

94%

Experiment: Results

Relative decrease in total conversions4%The treatment resulted in a 4% relative decrease in total conversions.

#WebClinic

DesignTotal

ConversionsRelative

DifferenceAggregate

LOC

Control 17.2% - -

Treatment 16.5% - 4.03%

% Relative Change: -4.03%

94%

Experiment: Results

Relative Decrease in Total Conversions4%The Treatment resulted in a 4% Relative Decrease in total conversionsDiscounting can dramatically decrease the perceived value of an offer. We

must be careful not to damage the long-term value of an offer with a discount.

#WebClinic

Pitfall #3: Beware of cost perception

#WebClinic

Background: An independent vitamin manufacturer and distributor.

Goal: Increase total revenue from the page.

Research Question: Which page will generate the highest total revenue?

Test Design: A/B multifactorial split test

Experiment ID: TP 1903Record Location: MECLABS Research LibraryResearch Partner: (Protected)

Pitfall #3: Cost perception

#WebClinic

Experiment: Control

• Products displayed in a horizontal matrix with the $77/month option preselected.

*Anonymized

#WebClinic

Experiment: Treatment

• The treatment displays the products vertically.

• This version adds “Most popular!” and “Best Value!” next to different options.

• The best value option is preselected, which also happens to be the most expensive

*Anonymized

#WebClinic

Experiment: Side-by-side comparisonControl Treatment

Audience Question: Which treatment had the greatest results??

#WebClinic

Design Total Conversions Total Revenue

Control 2.31%

Treatment 2.88%

% Relative Change 24.68%

Experiment: Results

Relative increase in conversions25%The treatment had a 24.68% relative increase in conversions.

#WebClinic

Design Total Conversions Total Revenue

Control 2.31% $12,877

Treatment 2.88% $21,737

% Relative Change 24.68% 68.8%

Experiment: Results

Relative increase in revenue69%The treatment produced 68.8% more revenue than the control.

#WebClinic

Design Total Conversions Total Revenue

Control 2.31% $12,877

Treatment 2.88% $21,737

% Relative Change 24.68% 68.8%

Experiment: Results

Relative Increase in Revenue69%The Treatment produced 68.8% more revenue

Price is one of many factors that contribute to cost. To decrease

perceived cost, we may alter material factors (e.g., price), mental factors (e.g.,

friction) or both.

#WebClinic

The principle of sequence Protocol ID: TP1811

Not this But this

Service Detail Page: Moved monthly fee from bottom to the top of the table to enhance clarity

38% in conversions

*Anonymized

#WebClinic

The principle of elimination Protocol ID: TP1169

But this

Product Matrix: Eliminated the different premium options from the control

36% paid subscriptions

Not this

*Anonymized

#WebClinic

The principle of suggestion Protocol ID: TP1774

Not this But this

Pricing: Moved to a preselected “Recommended Option” and emphasized monthly price

15% Increase in Orders

*Anonymized

#WebClinic

What you need to know: Your customers determine the price they are willing to pay. It is the

marketer’s responsibility to first establish value then guide the customer to the ideal price.

#WebClinic

Maximizing subscription revenue

Warning — Common pitfalls1. Beware of Metric Isolation: When price testing for subscriptions, we must be careful not

to focus on only one metric, such as conversion. It is not about a metric; it is about the metric narrative.

2. Beware of Value Deflation: Discounting can dramatically decrease the perceived value of an offer. We must be careful not to damage the long-term value of an offer with a discount.

3. Beware of Cost Perception: Price is only one of many factors that contribute to the perceived costs of an offer. To decrease cost, we may alter material factors (e.g., price), mental factors (e.g., friction) or both.

Live optimization

#WebClinic

Live Optimization: Logic Monitor

Primary Audience: IT professionals, Web Based Companies, & Cloud Providers

Page Purpose: Visitor sign-up for a 14 day free trial

Top of Page

#WebClinic

Live Optimization: Stamps.comHomepage

Primary Audience: Companies and individuals looking for on demand postage

Page Purpose: Visitors to begin the account creation process and purchase membership

#WebClinic

Live Optimization: Medical Care Alert

Primary Audience: Seniors looking for a home monitoring solution for emergencies

Page Purpose: Purchase a quarterly, semi-annual, or annual membership

Product Matrix

#WebClinic

Live Optimization: Who2Start.com

Primary Audience: Fantasy football enthusiasts

Page Purpose: Purchase a membership to receive weekly fantasy football picks and advice

Homepage

#WebClinic

Interested in optimizing your online business?

MECLABS conducts rigorous experiments in the new science of optimization. We apply our discoveries to help leaders optimize the financial performance of their sales and marketing programs.

Learn more about how you may be a fit for a MECLABS Research Partnership:

• Select Research Partnership Opportunities on the post-webinar survey

• Contact us directly:info@MECLABS.com1-877-635-0565

x

Recommended