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Direct Mail Testing
& Key Metrics
Presented by: Brett Jones
May 17, 2016 2:30 – 3:20
Today We’ll Discuss
§ WHY its important to test
§ HOW to design a valid test
§ WHAT to test & how to measure results
1
WHY IT’S IMPORTANT TO TEST
2
3 Ways to Make More Money
More Donors
• Acquisition Lists /
Select criteria for
Lapsed
• Package/Creative
• Lower initial ask
• Upfront / back-end
premium
More Gifts per
Donor
• RFM segmentation
to identify those
donors most likely
to give an
additional gift
• Follow up or
additional appeals
• Less aggressive
ask string
Higher Average Gift
• RFM segmentation
to identify those
with higher
previous gifts
• More aggressive
ask string
3
#4: Cutting Costs
The Testing Process
Determine
your
objective
Identify an
opportunity
Test your
hypothesis
Take action
based on
results
4
Possible Actions:
1. Retest
2. Rollout
3. Move on to
another
hypothesis
HOW TO DESIGN A
VALID TEST
5
HOW to design a valid test
What change do you want to
create?
Develop a hypothesis
Isolate a variable
& construct a
valid test
Execute Test
Determine
key metric
Read results
6
WHAT TO TEST
7
Focus on the things
that will make a difference
List, 60%Creative,
20%
Offer, 20%
8
Two Key Metrics
Response
Rate
Average
Gift
9
Costs
CREATIVE TESTS
10
Package Test in Acquisition:
Action v. Memo
QTY # Gifts %
Resp.
Avg.
Gift
Gross $ Net $ Net
Cost to
Acquire
“Action”
Control
29,905 384 1.28% $35.99 $13,819 ($4,723) ($12.29)
“Memo”
Test
29,901 208 0.70% $39.19 $8,152 ($9,999) ($48.07)
99% Confidence Level
What change did we want to create?
What was the hypothesis?
How would we determine success?
How did we construct a valid test?
What won? What might we do next?
Picture
Window
vs.
Standard
OE
Which format won?
Segment QTY # Gifts % Resp. Avg.
Gift
Gross $ Gross
Rev/M
Control
OE
13,033 229 2.29% $48.09 $14,380 $1,103
Picture
Window
13,033 373 2.86% $44.36 $16,547 $1,270
99% Confidence
Level
What change did we want to create?
Our hypothesis. What variable did we isolate?
How would we determine success?
What we will do next?
Why / When
to use this
metric
Component Test in Acquisition:
RE v. BRE
Segment QTY # Gifts % Resp. Avg. Gift Gross $
BRE 9,931 97 0.98% $36.81 $3,571
RE 9,931 69 0.69% $41.09 $2,835
95% Confidence Level
What change did we want to create?
What was the hypothesis?
What won?
What we will do next?
Format Test:
Attached vs.
Separate Reply
Format Test:
Attached vs. Separate Reply
Segment QTY # Gifts % Resp. Avg. Gift Gross $ Cost/Piece
Separate
Reply
63,239 1,034 1.60% $66.87 $69,141 $0.36
Attached
Reply
63,773 1,176 1.84% $75.64 $88,962 $0.30
99% Confidence Level
What change did we want to create?
What was the hypothesis?
What about the increase in the average gift?
What won?
What we will do next?
OFFER TESTS
19
Longwood Gardens
Can an offer be too rich?
20
Test Offer:
2 Guest Passes
Control Offer:
2 Additional Guest Passes
Segment QTY # Gifts % Resp. Avg.
Gift
Gross $ Gross
Rev/M
Control:
MORE
passes
56,763 484 0.85% $75.63 $36,605 $645
Test :
fewer
passes
56,761 558 0.98% $74.98 $41,840 $737
What change did we want to create?
What was the hypothesis?
What would we measure to determine success?
What variable did we isolate?
What won? Why?
95% Confidence Level
Longwood Gardens
Offer Test
Any Amount Makes You a Member
22
Sometimes you need to evaluate
results over a l-o-n-g period of time
Open Ask Test Results
§ Response Rate increased by 122%
§ Average Gift fell from $55 to $28
§ Net Cost to Acquire a member cut in half
§ Minimal reduction in retention rate Year 2
23
LIST TESTS
24
Segment Test
Segment QTY #
Gifts
%
Resp.
Avg.
Gift
Gross $ Net Rev.
Recently
Lapsed
9,682 139 1.44% $48.10 $6,686 $1,861
Longer
Lapsed
21,681 197 0.91% $52.56 $10,354 ($451)
Would you
mail this
group
again?
How would you decide?
Segment Test
Segment QTY #
Gifts
%
Resp.
Avg.
Gift
Gross $ Net Rev. Net
Cost to
Acquire
Acquisition 63,521 381 0.60% $46.49 $17,713 ($13,984) ($36.70)
Recently
Lapsed
9,682 139 1.44% $48.10 $6,686 $1,861 +
Longer
Lapsed
21,681 197 0.91% $52.56 $10,354 ($451) ($2.29)
Would you
mail this
group
again?
Goal: More New Donors
Key Metric: Net Cost to Acquire Longer Lapsed donor vs. Acquisition
Every acquisition mailing is an
opportunity to tests new lists
Performance Risk
A Balanced List Plan
Test Lists
10% max
Retests
Approx. 10%
Core Lists
80% of names
§ List testing opportunity #1:
Identify lists that are mediocre performers whose response may be
increased with a tighter select
List Segment Historical Resp. % Avg. Gift
Habitat For Humanity/24 Mos. .87% $48.09
List Segment % Resp. Avg. Gift
Habitat For Humanity/12 Mos. 1.01% $48.07
Current Performance
Sample Test Results
If the available universe doesn’t shrink too much, you may be
better served by tightening the select criteria
§ List testing opportunity #2: The other side of the coin
Identify lists that are very strong performers that could generate
additional members with an expanded select (larger universe) and
comparable (or acceptable) response
List Segment Mailing
Universe
Historical
Resp. %
Members
World Wildlife Fund/12 Mos. 4,000 1.03% 41
World Wildlife Fund/12
Mos.
Mailing
Universe
% Resp. Members
World Wildlife Fund/24
Mos.
7,000 .91% 63
Current Performance
Sample Test Results
Sometimes the greater good is served by a lower response
rate on a larger universe of prospects – ultimately delivering
you more new donors.
Is an UNsuccessful test
one that doesn’t give you the
answer you expected?
What if a test loses?
What if I’m “too small” to test?
33
Remember…
Brett Jones
Vice President, Fundraising
DMW Fundraising
bjones@dmwfundraising.com
Thank you!

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Direct mail testing & key metrics nedma 2016

  • 1. Direct Mail Testing & Key Metrics Presented by: Brett Jones May 17, 2016 2:30 – 3:20
  • 2. Today We’ll Discuss § WHY its important to test § HOW to design a valid test § WHAT to test & how to measure results 1
  • 4. 3 Ways to Make More Money More Donors • Acquisition Lists / Select criteria for Lapsed • Package/Creative • Lower initial ask • Upfront / back-end premium More Gifts per Donor • RFM segmentation to identify those donors most likely to give an additional gift • Follow up or additional appeals • Less aggressive ask string Higher Average Gift • RFM segmentation to identify those with higher previous gifts • More aggressive ask string 3 #4: Cutting Costs
  • 5. The Testing Process Determine your objective Identify an opportunity Test your hypothesis Take action based on results 4 Possible Actions: 1. Retest 2. Rollout 3. Move on to another hypothesis
  • 6. HOW TO DESIGN A VALID TEST 5
  • 7. HOW to design a valid test What change do you want to create? Develop a hypothesis Isolate a variable & construct a valid test Execute Test Determine key metric Read results 6
  • 9. Focus on the things that will make a difference List, 60%Creative, 20% Offer, 20% 8
  • 12.
  • 13. Package Test in Acquisition: Action v. Memo QTY # Gifts % Resp. Avg. Gift Gross $ Net $ Net Cost to Acquire “Action” Control 29,905 384 1.28% $35.99 $13,819 ($4,723) ($12.29) “Memo” Test 29,901 208 0.70% $39.19 $8,152 ($9,999) ($48.07) 99% Confidence Level What change did we want to create? What was the hypothesis? How would we determine success? How did we construct a valid test? What won? What might we do next?
  • 15. Which format won? Segment QTY # Gifts % Resp. Avg. Gift Gross $ Gross Rev/M Control OE 13,033 229 2.29% $48.09 $14,380 $1,103 Picture Window 13,033 373 2.86% $44.36 $16,547 $1,270 99% Confidence Level What change did we want to create? Our hypothesis. What variable did we isolate? How would we determine success? What we will do next? Why / When to use this metric
  • 16.
  • 17. Component Test in Acquisition: RE v. BRE Segment QTY # Gifts % Resp. Avg. Gift Gross $ BRE 9,931 97 0.98% $36.81 $3,571 RE 9,931 69 0.69% $41.09 $2,835 95% Confidence Level What change did we want to create? What was the hypothesis? What won? What we will do next?
  • 19. Format Test: Attached vs. Separate Reply Segment QTY # Gifts % Resp. Avg. Gift Gross $ Cost/Piece Separate Reply 63,239 1,034 1.60% $66.87 $69,141 $0.36 Attached Reply 63,773 1,176 1.84% $75.64 $88,962 $0.30 99% Confidence Level What change did we want to create? What was the hypothesis? What about the increase in the average gift? What won? What we will do next?
  • 21. Longwood Gardens Can an offer be too rich? 20 Test Offer: 2 Guest Passes Control Offer: 2 Additional Guest Passes
  • 22. Segment QTY # Gifts % Resp. Avg. Gift Gross $ Gross Rev/M Control: MORE passes 56,763 484 0.85% $75.63 $36,605 $645 Test : fewer passes 56,761 558 0.98% $74.98 $41,840 $737 What change did we want to create? What was the hypothesis? What would we measure to determine success? What variable did we isolate? What won? Why? 95% Confidence Level Longwood Gardens Offer Test
  • 23. Any Amount Makes You a Member 22 Sometimes you need to evaluate results over a l-o-n-g period of time
  • 24. Open Ask Test Results § Response Rate increased by 122% § Average Gift fell from $55 to $28 § Net Cost to Acquire a member cut in half § Minimal reduction in retention rate Year 2 23
  • 26. Segment Test Segment QTY # Gifts % Resp. Avg. Gift Gross $ Net Rev. Recently Lapsed 9,682 139 1.44% $48.10 $6,686 $1,861 Longer Lapsed 21,681 197 0.91% $52.56 $10,354 ($451) Would you mail this group again? How would you decide?
  • 27. Segment Test Segment QTY # Gifts % Resp. Avg. Gift Gross $ Net Rev. Net Cost to Acquire Acquisition 63,521 381 0.60% $46.49 $17,713 ($13,984) ($36.70) Recently Lapsed 9,682 139 1.44% $48.10 $6,686 $1,861 + Longer Lapsed 21,681 197 0.91% $52.56 $10,354 ($451) ($2.29) Would you mail this group again? Goal: More New Donors Key Metric: Net Cost to Acquire Longer Lapsed donor vs. Acquisition
  • 28. Every acquisition mailing is an opportunity to tests new lists Performance Risk
  • 29. A Balanced List Plan Test Lists 10% max Retests Approx. 10% Core Lists 80% of names
  • 30. § List testing opportunity #1: Identify lists that are mediocre performers whose response may be increased with a tighter select List Segment Historical Resp. % Avg. Gift Habitat For Humanity/24 Mos. .87% $48.09 List Segment % Resp. Avg. Gift Habitat For Humanity/12 Mos. 1.01% $48.07 Current Performance Sample Test Results If the available universe doesn’t shrink too much, you may be better served by tightening the select criteria
  • 31. § List testing opportunity #2: The other side of the coin Identify lists that are very strong performers that could generate additional members with an expanded select (larger universe) and comparable (or acceptable) response List Segment Mailing Universe Historical Resp. % Members World Wildlife Fund/12 Mos. 4,000 1.03% 41 World Wildlife Fund/12 Mos. Mailing Universe % Resp. Members World Wildlife Fund/24 Mos. 7,000 .91% 63 Current Performance Sample Test Results Sometimes the greater good is served by a lower response rate on a larger universe of prospects – ultimately delivering you more new donors.
  • 32. Is an UNsuccessful test one that doesn’t give you the answer you expected?
  • 33. What if a test loses? What if I’m “too small” to test?
  • 35. Brett Jones Vice President, Fundraising DMW Fundraising bjones@dmwfundraising.com Thank you!