growth experiments: lessons from a failed attempt

27
growth Growth Experiments: Lessons from a failed attempt

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Page 1: Growth Experiments: Lessons from a failed attempt

growthGrowth Experiments: Lessons from a failed attempt

Page 2: Growth Experiments: Lessons from a failed attempt

about meVassilena Valchanova

• 10 years of marketing experience

• Check out valchanova.me

• Digital Strategist @ Enhancv

Page 3: Growth Experiments: Lessons from a failed attempt

growthAbout Enhancv

• B2C SaaS startup

• Smart resume building platform

• 3 years old

• 300,000 users

Page 4: Growth Experiments: Lessons from a failed attempt

our storyOur Growth Team Story

WHY?

Speed up and learn more

HOW?

Company-wide growth

experiment process

Page 5: Growth Experiments: Lessons from a failed attempt

our storyThe Death of Experiments

• 10 experiment meetings

• 6 experiments carried out

• Participation from

different team members

Page 6: Growth Experiments: Lessons from a failed attempt

our storyTime to Reset

RESET

Page 7: Growth Experiments: Lessons from a failed attempt

The Growth ProcessPROCESS

GROWTH

Analyze

1.

Set

Objective

2.

Ideate

3.

Prioritize 4.

Test

5.

Page 8: Growth Experiments: Lessons from a failed attempt

growthBuild YOUR TEAM

Page 9: Growth Experiments: Lessons from a failed attempt

setupBuild Your TeamGROWTH LEAD

• Sets the process

• Leads the meetings

• Clears obstacles

MARKETER

• Acquisition

• Copy

• Driving traffic

PRODUCT/DEV

• Technical

implementation

• Automation

DESIGNER

• Mockups

• Wireframes

• Marketing visuals

DATA ANALYST

• Initial data

• Experiment setup

• Analysis

CUSTOMER SUCCESS

• Customer feedback

• Critical questions

• Early results

Page 10: Growth Experiments: Lessons from a failed attempt

our storyAlways Use The Same Team

• Ownership

• Helps them prepare

• Teams require time to

form

Page 11: Growth Experiments: Lessons from a failed attempt

growthEstablish CLEAR RULES

Page 12: Growth Experiments: Lessons from a failed attempt

setupClear Rules

• Is the experiment clear and

specific?

• Is the experiment related to the

objective?

• Can it be executed and analyzed

in 2 weeks?

Page 13: Growth Experiments: Lessons from a failed attempt

setupDictatorship is good in meetings

Page 14: Growth Experiments: Lessons from a failed attempt

growthStart with a SPECIFIC PROBLEM

Page 15: Growth Experiments: Lessons from a failed attempt

analyzeSpecific Problem

• Work with data

• Growth lead and management

decide

• Concrete objective

Page 16: Growth Experiments: Lessons from a failed attempt

analyzeWhat’s Concrete?

Our current blog new visitors is 4,000 per month.

We need to increase it by 15% without losing the

quality of the audience.

Let’s focus on acquiring new users

Page 17: Growth Experiments: Lessons from a failed attempt

growthRespect everyone’s TIME

Page 18: Growth Experiments: Lessons from a failed attempt

ideateICE scores are cool1-10 average of three scores:

IMPACT

If successful, how big is the difference?

CONFIDENCE

How sure are we it will work?

EASE

How easy is it to implement?

(time/people/money)

Page 19: Growth Experiments: Lessons from a failed attempt

ideateRespect everyone’s time

• Team members write down

ideas before the meeting.

• Each scores their idea.

• Only doubtful scores are

discussed.

• Scores are not the last word.

Page 20: Growth Experiments: Lessons from a failed attempt

growthEnsure there is TEST CADENCE

Page 21: Growth Experiments: Lessons from a failed attempt

testTest Cadence

• Two week experiment

cycles

• 5 experiments per cycle

• 30% success rate

• 32 successful experiments

per year

Page 22: Growth Experiments: Lessons from a failed attempt

growthSetup experiments THE RIGHT WAY

Page 23: Growth Experiments: Lessons from a failed attempt

testExperiment TypesA/B Tests Testing 2 versions simultaneously, only 1 difference per version.

Multivariate Tests Testing many versions at the same time, lots of differen-ces per version.

Sequential Tests Testing many versions one after the other.

Smoke Tests Landing page collecting leads to gauge interest.

Trigger Tests Measuring click rate of ads to see interest in a value proposition.

Wizard of Oz Deliver value by hand, if a feature requires lots of dev.

High Hurdle People pay with time (surveys, long forms) to see how engaged they are with a proposition.

Design your Own There are other options…

Page 24: Growth Experiments: Lessons from a failed attempt

testGet to Know Statistics

• VWO’s Significance Calculator

• Optimizely’s Sample Size Calculator

• Google Optimize

Page 25: Growth Experiments: Lessons from a failed attempt

growthSettle on a working TOOLSET

Page 26: Growth Experiments: Lessons from a failed attempt

testTools to Try

Page 27: Growth Experiments: Lessons from a failed attempt

growthThank you! Any Questions? The slides: valchanova.me/slides