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APPLYING OPTIMIZATION
FUNDAMENTALS
F O R M A J O R G A I N S
…OR 6 TIPS TO
SUPERCHARGE
Y O U R O P T I M I Z A T I O N P R O G R A M
TIP 1:
FOCUS ON
PROCESS…
NOT
‘HACKS’
@jtrondeau
@jtrondeau
WHAT WE MUST
REALLY?
Results:
No Statistical Difference
Confidence:
N/A
Takeaway:
The extra field increased
lead quality - so keep it!
Results:
31.3% Lift In Opt-Ins
Confidence:
95%
Source: Unbounce
@jtrondeau
WHAT WE
NEED:
PROCE
SS
TIP 2:
MEASURE
MULTIPLE
METRICS
@jtrondeau
(THAT MATTER)
@jtrondeau
It all starts with identifying goals &
KPIs!
@jtrondeau
Top
Funnel
Mid
Funnel
Bottom
Funnel
Engagement
metrics, not
directly
connected with
business goals.
Robust metrics,
directly connected
to business goals.
Generally
associated with
lead generation or
‘relationship’
changing metrics.
@jtrondeau
Page Goals Business
Goals
Immediate
Conversion
Clicks
Opt-Ins
RPV
Sales
AOV
@jtrondeau
@jtrondeau
Protip: Just because a top funnel
metric increased at x% doesn’t mean
a deep funnel metric will increase at
that rate (or increase at all).
@jtrondeau
@jtrondeau
Results:
2.01% Drop in Product Views
4.43% Drop in Add-to-Carts
10.59% Drop in Orders
BENEFITS OF
TESTING
MULTIPLE
METRICS
@jtrondeau
#1 GET THE FULL STORY
MORE USEFUL METRICS, MORE INSIGHTS
#2 CAN GET INSIGHTS ON LOW SAMPLES
IF THERE IS CONSISTENCY BETWEEN
PAGES/METRICS YOU MIGHT BE ABLE TO
CALL A TEST EARLIER
#3 BETTER ITERATIONS
TESTING IS AN ITERATIVE PROCESS, THE
MORE DATA YOU HAVE THE MORE YOU
CAN IMPROVE.
@jtrondeau
NO STATISTICAL DIFFERENCE
@jtrondeau
@jtrondeau
@jtrondeau
WHAT CAN I
LEARN?
@jtrondeau
DESPITE THE SMALLER SAMPLE SIZE FOR
THE DEEPER FUNNEL CONVERSION…
…THE CONSISTENCY IN ACTIONS OVER 3
PAGES AND 8 DAYS MADE US CONFIDENT
THAT THIS TEST WAS COMPLETE.
TIP 3:
ANALYTICS
TO IDENTIFY
PAGES
@jtrondeau
@jtrondeau
HOME CATEGORY PRODUCT CART THANK YOU
EVALUATING YOUR
FUNNEL WILL
HIGHLIGHT YOUR
PROBLEM AREAS
DETAILED FUNNEL ANALYSIS IS YOUR
TEST’S BACKBONE
0
25
50
75
100
125
HOME CATEGORY PRODUCT CART THANK YOU
UniqueViews(In1,000’s)
Page Viewed
PROTIP
@jtrondeau
WE CAN SURMISE A LOT FROM
QUANTITATIVE DATA…
…WE DEVELOP HYPOTHESES WHEN WE
EVALUATE QUALITATIVE DATA.
(WE’LL TALK ABOUT THIS LATER)
@jtrondeau
PICK PAGES
THAT
MATTER
@jtrondeau
#1 HIGH VALUE PAGES WITH A HIGH
BOUNCE RATE
BOUNCES ARE BAD NEWS BEARS
#2 DEEP FUNNEL PAGES
PEOPLE JUMPED THROUGH YOUR HOOPS,
BRING THEM HOME
#3 FUNNEL VALLEYS
CHECK THE PREVIOUS PAGE TO FIND OUT
WHY NO ONE IS MOVING DOWN THE
FUNNEL
OR MY
PERSONAL
FAVORITE
@jtrondeau
High Visit, High Bounced Pages
TIP 4:
FIX WHAT’S
BROKEN…
@jtrondeau
TIP 4:
…AND TEST
WHAT’S
AMBIGUOUS
@jtrondeau
@jtrondeau
@jtrondeau
Just Fix It
Test/Optimize
TIP 5:
SCHEDULE A
FINITE STOP
TIME
@jtrondeau
@jtrondeau
LIFT LOSS NULL
@jtrondeau
@jtrondeau
Results:
6.49% Increase In Sales
Confidence:
95%
@jtrondeau
@jtrondeau
Results:
Decreased Add To Cart
Clicks by 6.6% For New
Visitors.
Confidence:
95%
@jtrondeau
NO STATISTICAL DIFFERENCE
@jtrondeau
LIFT LOSS
@jtrondeau
“Netflix considers 90% of what they try to be wrong” -- Mike Moran
“80% of the time you/we are wrong about what a customer wants”
-- Avinash Kaushik
Microsoft’s statistic from thousands of controlled experiments:
only 10-30% of experiments move the metrics they were
designed to improve”
— Ronny Kohavi
@jtrondeau
FACTORS THAT
IMPACT
TEST
TIMING
#1 LIFT PERCENTAGE
WHAT WAS THE LIFT OR LOSS
#2 CONFIDENCE RATE
95% OR BETTER
#3 NUMBER OF VARIANTS
2 OR MORE
#4 NUMBER OF VARIANTS
TESTED POPULATION PER DAY
@jtrondeau
WORK
BACKWARD
#1 PICK TIME PERIOD
1-6 WEEKS
#2 RECORD UNIQUE TRAFFIC
WHAT’S THE TRAFFIC FOR THE TIME
PERIOD
#3 NUMBER OF VARIANTS
DIVIDE TRAFFIC BY VARIANTS
#4 DESIRED CONFIDENCE
95%
#4 CALCULATE LIFT PERCENTAGE
CAN YOU GET X LIFT? IF YES, DO IT!
@jtrondeau
IF YES,
THEN
SCHEDULE(AND STICK TO IT!)
TIP 6:
FOCUS ON
THE USER
@jtrondeau
CONVERSION RATE OPTIMIZATION ISN’T ABOUT
INCREASING CONVERSION
IT’S ABOUT CREATING MEETING USER
EXPECTATIONS
WE NEED
DETAILED
USER
RESEARCH
@jtrondeau
#1 HEATMAPS
SEE WHERE PEOPLE ARE
CLICKING/SCROLLING
#2 USER SURVEYS
GET INFORMATION FROM YOUR BEST
USERS
#3 SESSION RECORDINGS
WATCH EXACTLY HOW PEOPLE INTERACT
ON YOUR SITE
#4 USABILITY TESTS
GET SITE TESTERS AND ASK FOR
FEEDBACK
QUALITATIVE
DATA =
COMPETITIVE
EDGE
@jtrondeau
@jtrondeau
EXAMPLE OF A
HEATMAP
@jtrondeau
EXAMPLE OF A
SCROLL
MAP
@jtrondeau
HOW A
HEATMAP
INCREASED
SALES
@jtrondeau
We Saw a 40.9%
Increase In DM Lab Sales
When We Added A Link
To Our Sales Page
@jtrondeau
EXAMPLE OF A
SESSION
RECORDING
@jtrondeau
LESSONS
LEARNED
@jtrondeau
EXAMPLE OF A
SURVEY
@jtrondeau
SOME
SWEET
SURVEY
TIPS
#1 ASK A SINGLE QUESTION
IF ASKING FOR MORE, THEN
SET TIME CONSTRAINTS
#2 OPEN ENDED = POWER
YOU’LL GET LESS RESPONSES,
BUT BETTER DATA
#3 KNOW IT’S A SEGMENT
THE TYPE OF PEOPLE WHO
ANSWER SURVEYS AREN’T AN
ACCURATE REPRESENTATION
OF THE WHOLE
@jtrondeau
• Was it was easy to find what you were looking for?
• Were the words/vocab used to define categories/sub-categories
clear to you?
• Do you have any suggestions to improve our website navigation?
• Does our website look credible to you?
• Is our pricing clear?
• Is there anything else you’d like to know before signing up with us?
• Will you shop with us again? Why/why not?
• Do you think the form has any confusing/unnecessary input fields?
@jtrondeau
EXAMPLE OF A
USER TEST
@jtrondeau
MY FAVORITE
TYPE OF
QUAL.
DATA
COMMON CUSTOMER SERVICE
QUESTIONS AND
COMMON SALES QUESTIONS
@jtrondeau
QUICK
RECAP
#1 CLEAN YOUR DATA
MAKE SURE YOU TRUST WHAT’S IN GA
#2 GET A TESTING TECH
VWO, OPTIMIZELY, ETC…
#3 GET A QUALITATIVE SOURCE
HEATMAPS, SURVEYS, CUSTOMER DATA,
ETC…
#4 I.D. PROBLEM PAGES & WHY
#5 RUN TEST & REPORT
@jtrondeau
• Email: justin.rondeau@digitalmarketer.com
• Twitter: @jtrondeau
• Website: digitalmarketer.com
Justin Rondeau
Director of Optimization,
Digital Marketer
THANKS! QUESTIONS?

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Applying Optimization Fundamentals For Major Gains

Notas do Editor

  1. We will cover the circular nature of testing. Avoid ad hoc testing You need a measurable test that has a hypothesis Analyze, hypothesize, test, repeat.
  2. We will cover the circular nature of testing. Avoid ad hoc testing You need a measurable test that has a hypothesis Analyze, hypothesize, test, repeat.
  3. We will cover the circular nature of testing. Avoid ad hoc testing You need a measurable test that has a hypothesis Analyze, hypothesize, test, repeat.
  4. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  5. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  6. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  7. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  8. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  9. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  10. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  11. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  12. This would be classic confirmation bias. Finding an instance that confirms the rule does not prove the rule is true. But, finding one instance that disproves the rule shows that the rule is false.
  13. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  14. Analytics find opportunity, applied analytics find opportunity.
  15. Data icon
  16. Data icon
  17. This would be classic confirmation bias. Finding an instance that confirms the rule does not prove the rule is true. But, finding one instance that disproves the rule shows that the rule is false.
  18. This would be classic confirmation bias. Finding an instance that confirms the rule does not prove the rule is true. But, finding one instance that disproves the rule shows that the rule is false.
  19. Conversion Hierarchy
  20. A/B Test Icon
  21. A/B Test Icon
  22. A/B Test Icon
  23. Offer vs Structure You can’t test yourself out of a bad offer…
  24. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  25. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  26. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  27. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  28. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  29. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  30. Testing the wrong metrics ruins your test. You need to choose the right metrics. Measure for page goals, campaign goals, and business goals. Low traffic? micro conversions can be used as indicators Regular traffic? micro conversions can help with test validity and test deconstruction.
  31. Offer vs Structure You can’t test yourself out of a bad offer…
  32. This is qualitative data, use WTW chart show some qualitative options and benefits.
  33. This would be classic confirmation bias. Finding an instance that confirms the rule does not prove the rule is true. But, finding one instance that disproves the rule shows that the rule is false.
  34. People who actually scroll to the bottom click Not enough people are scrolling that far down ~15% of all clicks on this page are on the nav bar
  35. Our Click Tracking Revealed That 12% Of All Page Clicks Were On This Image
  36. Our Click Tracking Revealed That 12% Of All Page Clicks Were On This Image