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BUILDING A GROWTH MACHINE BY: BRIAN BALFOUR Brian Balfour :: @bbalfour :: http://www.coelevate.com

Brian Balfour: Building A Growth Machine

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Page 1: Brian Balfour: Building A Growth Machine

BUILDING A GROWTH MACHINE BY: BRIAN BALFOUR

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 2: Brian Balfour: Building A Growth Machine

ONE MISSION, ONE GOAL

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 3: Brian Balfour: Building A Growth Machine

AUTHENTIC GROWTH

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 4: Brian Balfour: Building A Growth Machine

Brian Balfour :: @bbalfour :: http://www.coelevate.com

GROWING IN A WORLD OF SOFTWARE HAS CHANGED…

The Lines Between Marketing and Product Are Blurring Where does marketing end and product begin in software? 1

Page 5: Brian Balfour: Building A Growth Machine

Brian Balfour :: @bbalfour :: http://www.coelevate.com

GROWING IN A WORLD OF SOFTWARE HAS CHANGED…

The Lines Between Marketing and Product Are Blurring Where does marketing end and product begin in software? 1Marketing Has Become More Technical & Quantitative “Mad Men” skills aren’t as important. 2

Page 6: Brian Balfour: Building A Growth Machine

Brian Balfour :: @bbalfour :: http://www.coelevate.com

GROWING IN A WORLD OF SOFTWARE HAS CHANGED…

The Lines Between Marketing and Product Are Blurring Where does marketing end and product begin in software? 1Marketing Has Become More Technical & Quantitative “Mad Men” skills aren’t as important. 2Data Is Becoming More Accessible Gathering quantitative and qualitative data is becoming easier 3

Page 7: Brian Balfour: Building A Growth Machine

Brian Balfour :: @bbalfour :: http://www.coelevate.com

GROWING IN A WORLD OF SOFTWARE HAS CHANGED…

The Lines Between Marketing and Product Are Blurring Where does marketing end and product begin in software? 1Marketing Has Become More Technical & Quantitative “Mad Men” skills aren’t as important. 2Data Is Becoming More Accessible Gathering quantitative and qualitative data is becoming easier 3Scale and Speed Of Growth Is Accelerating Time to 1M Users/ARR has accelerated. 4

Page 8: Brian Balfour: Building A Growth Machine

Revenue

Referral

Activation

Retention

Acquisition

GROWTH ≠ ACQUISITION

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 9: Brian Balfour: Building A Growth Machine

GROWTH EFFORTS REQUIRE…

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Product

Engineering

GROWTH

Marketing

Data

Page 10: Brian Balfour: Building A Growth Machine

GROWTH AND PRODUCT IS DIFFERENT

BUILDING CORE VALUE

GETTING THE LARGEST % OF OUR AUDIENCE TO EXPERIENCE CORE VALUE AS QUICKLY AS

POSSIBLE

GETTING USERS TO EXPERIENCE THAT

CORE VALUE AS OFTEN AS POSSIBLE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 11: Brian Balfour: Building A Growth Machine

GROWTH EFFORTS CREDIT: ANDY JOHNS

0

10000

20000

30000

40000

NATURAL ADOPTION

TRUE GROWTH POTENTIAL

PURPOSE OF GROWTH

EFFORTS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 12: Brian Balfour: Building A Growth Machine

GROWTH IS MORE ABOUT A CHANGE TO TEAM STRUCTURE, PEOPLE, METHODOLGY,

PROCESS NOT TACTICS/HACKS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 13: Brian Balfour: Building A Growth Machine

LEARNING HOW TO GROW AUTHENTICALLY DOESN’T START WITH TACTICS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 14: Brian Balfour: Building A Growth Machine

PROCESS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 15: Brian Balfour: Building A Growth Machine

PROCESS?!?!?!WHAT CAN BE SO SPECIAL ABOUT PROCESS?

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 16: Brian Balfour: Building A Growth Machine

4 REASONS TO FOCUS ONPROCESS FIRST, TACTICS SECOND

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 17: Brian Balfour: Building A Growth Machine

14

1. WHAT WORKS FOR OTHERS, WON’T WORK FOR YOU

Page 18: Brian Balfour: Building A Growth Machine

YOUR AUDIENCE IS DIFFERENT

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 19: Brian Balfour: Building A Growth Machine

YOUR PRODUCT IS DIFFERENT

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 20: Brian Balfour: Building A Growth Machine

YOUR BUSINESS MODEL IS DIFFERENT

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 21: Brian Balfour: Building A Growth Machine

YOUR CUSTOMER JOURNEY IS DIFFERENT

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 22: Brian Balfour: Building A Growth Machine

YOUR BUSINESS IS DIFFERENT PLAIN AND SIMPLE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 23: Brian Balfour: Building A Growth Machine

20

2. GROWTH = SUM(1, 2, 3, 4….X)Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 24: Brian Balfour: Building A Growth Machine

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 25: Brian Balfour: Building A Growth Machine

MOST PEOPLE FOCUS ON WHAT HAPPENED HERE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 26: Brian Balfour: Building A Growth Machine

BUT WE SHOULD ASK ABOUT ALL THE THINGS

HERE AND….HERE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 27: Brian Balfour: Building A Growth Machine

BUT WE SHOULD ASK ABOUT ALL THE THINGS

HERE AND….HERE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 28: Brian Balfour: Building A Growth Machine

BUT WE SHOULD ASK ABOUT ALL THE THINGS

HERE AND….HERE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 29: Brian Balfour: Building A Growth Machine

23

SILVER BULLETS DON’T EXIST

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 30: Brian Balfour: Building A Growth Machine

24

3. RATE OF CHANGE IS ACCELERATINGBrian Balfour :: @bbalfour :: http://www.coelevate.com

Page 31: Brian Balfour: Building A Growth Machine

SEO No Keyword Data, Author Rank, Content Freshness, Social Shares, Search Result Format

DISPLAY RTB, No Cookies, Mobile

EMAIL Tabbed Inboxes, Inbox Actions, Unsubscribe, Mobile

FACEBOOKNewsfeed Ads (4 formats), Video Ads,

Optimized CPM, CTA Format, Custom Audiences, etc, etc

Page 32: Brian Balfour: Building A Growth Machine

Effe

ctiv

enes

s

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

WOM Novelty

Email

MySpace

Craigslist

Twitter

Mobile iOS

Android

Facebook

Ooga Labs

EVOLUTION OF CHANNELS

CREDIT: JAMES CURRIER

Page 33: Brian Balfour: Building A Growth Machine

27

4. YOU NEED A MACHINEBrian Balfour :: @bbalfour :: http://www.coelevate.com

Page 34: Brian Balfour: Building A Growth Machine

A GROWTH MACHINE IS…

1

2 PREDICTABLE

SCALABLE

3 REPEATABLE

Page 35: Brian Balfour: Building A Growth Machine

THE MACHINE PRODUCES THE TACTICS THE PROCESS MAKES THE MACHINE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 36: Brian Balfour: Building A Growth Machine

BUILDING A GROWTH MACHINE THE PROCESS

Page 37: Brian Balfour: Building A Growth Machine

THE GOALS OF OUR PROCESS

1

2

LEARNING Constant learning of our customer, product, channels and feeding that learning into the process to improve.

3 AUTONOMY Individuals decide what they work on to achieve the OKR’s.

4 ACCOUNTABILITY With autonomy, comes accountability. You don’t have to be right all the time, but there is an expectation to improve.

RYTHYM Momentum is powerful. Establish a cadence to fight through failures, get to successes, and find momentum

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 38: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Set Goals OKR’s

Explore Data Qualitative and Quantitative

Find Levers Growth Model

DAILY/WEEKLY

Page 39: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS TO FIND THE HIGHEST IMPACT AREA THAT WE CAN FOCUS ON RIGHT NOW GIVEN LIMITED

RESOURCES.

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 40: Brian Balfour: Building A Growth Machine

FINDING LEVERS YOUR TOOL IS YOUR GROWTH MODEL

Page 41: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 42: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS WAU’s, BUT WHAT EFFECTS WAU’s?

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 43: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS WAU’s, BUT WHAT EFFECTS WAU’s?

WAU’s = New Activated + Retained

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 44: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS WAU’s, BUT WHAT EFFECTS WAU’s?

WAU’s = New Activated + RetainedNew Activated = (RegisteredFB ADS * ARFB ADS) + (RegisteredViral * ARViral)+…

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 45: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS WAU’s, BUT WHAT EFFECTS WAU’s?

WAU’s = New Activated + RetainedNew Activated = (RegisteredFB ADS * ARFB ADS) + (RegisteredViral * ARViral)+…

RegisteredViral = Imp * Conversion Rate * Invites/User * Email CTR * Landing Page CR

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 46: Brian Balfour: Building A Growth Machine

FINDING LEVERS BUILDING A GROWTH MODEL

GOAL IS WAU’s, BUT WHAT EFFECTS WAU’s?

WAU’s = New Activated + RetainedNew Activated = (RegisteredFB ADS * ARFB ADS) + (RegisteredViral * ARViral)+…

RegisteredViral = Imp * Conversion Rate * Invites/User * Email CTR * Landing Page CR

Retained = (New ActW-1 * RetentionW-1) + (New ActW-2 * RetentionW-2)…

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 47: Brian Balfour: Building A Growth Machine

FINDING LEVERS THREE THINGS TO UNDERSTAND ABOUT THE INPUTS

1

2 CEILING

BASELINE

3 SENSITIVITY OVER TIME

Page 48: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Set Goals OKR’s

Explore Data Qualitative and Quantitative

Find Levers Growth Model

DAILY/WEEKLY

Page 49: Brian Balfour: Building A Growth Machine

HOW WE SET GOALS (OKRs)OBJECTIVE: Qualitative statement

TIMEFRAME: 30 - 90 Days

KR1: Measurable Goal 1 (Hit 90% Of Time) KR2: Measurable Goal 2 (Hit 50% Of Time) KR3: Measurable Goal 3 (Hit 10% Of Time)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 50: Brian Balfour: Building A Growth Machine

AN EXAMPLE…OBJECTIVE: MAKE VIRALITY A MEANINGFUL CHANNEL

TIMEFRAME: 90 Days

KR1: 1.5% Viral/WAU KR2: 2% Viral/WAU KR3: 3% Viral/WAU

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 51: Brian Balfour: Building A Growth Machine

1

2 IN OUR FACE

INPUTS NOT OUTPUTS

3 CONCRETE

OKR’s will never be set on on the output (WAU) the will always be set on the inputs.

OKR’s will be somewhere that we can’t forget them. Review daily and weekly.

Goals will change mid-OKR VERY rarely.

OKR PRINCIPLES

Page 52: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Set Goals OKR’s

Explore Data Qualitative and Quantitative

Find Levers Growth Model

DAILY/WEEKLY

Page 53: Brian Balfour: Building A Growth Machine

HOW WE GET GROWTH INSIGHTS

INSIGHT

Quantitative Qualitative

Intuition

Page 54: Brian Balfour: Building A Growth Machine

1

2 QUANTITATIVE

QUALITATIVE User Surveys, 1 on 1 Conversations, Full Story Videos, Customer Support Tickets

GA, Mixpanel, Datastore. Goal is to answer questions we don’t know about our user, product, or channel. Break it into pieces.

EXPLORE DATAUNDERSTAND THE INPUTS OF THE INPUTS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 55: Brian Balfour: Building A Growth Machine

BUILD A MINI MODELUNDERSTAND THE INPUTS OF THE INPUTS

1

2 CEILING

BASELINE

3 SENSITIVITY

Page 56: Brian Balfour: Building A Growth Machine

UNDERSTAND THE WHYUNDERSTAND THE INPUTS OF THE INPUTS

Why do users who get to invite page not covert?

<— Super targeted to the variable we are trying to improve

<— Open ended question to allow for all types of answers

<— Email looks like a personal email to create a sense of importance

Page 57: Brian Balfour: Building A Growth Machine

UNDERSTAND THE WHYUNDERSTAND THE INPUTS OF THE INPUTS

Bug 7%Other

8%

Would Prefer To Just Share On FB 10%

Don't Want You To Spam Friends 11%

Reward Not High Enough 29%

Didn't Know Who To Invite 35%

Page 58: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 59: Brian Balfour: Building A Growth Machine

STEP ONE: BRAINSTORM

BRAINSTORM ON THE INPUTS NOT THE OUTPUTS…

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 60: Brian Balfour: Building A Growth Machine

STEP ONE: BRAINSTORM

ACTIVATION RATE = STEP 1 CONV * STEP 2 CONV * STEP 3 CONV

IF WE WANT TO IMPROVE THIS

WE BRAINSTORM ON THESE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 61: Brian Balfour: Building A Growth Machine

4 WAYS TO COME UP WITH GROWTH IDEAS

1 OBSERVE How are others doing it? Look outside of your immediate product space. Walk through together.

2 QUESTION Question brainstorming. Why? What is… What if… What about… How do we do more of…

3 ASSOCIATE Connect the dots between unrelated things. i.e What if our activation process was like closing a deal?

4 NETWORK Growth mastermind groups. Build your network of growth people. I’m on the phone every day for ideas

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 62: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 63: Brian Balfour: Building A Growth Machine

STEP TWO: PRIORITIZE

1

2 IMPACT

PROBABILITY

3 RESOURCES

LOW - 20%, MEDIUM - 50%, HIGH - 80%

Comes from your prediction. Take into account long lasting effects vs one hit wonders.

Marketing, Design, Engineering

Page 64: Brian Balfour: Building A Growth Machine

STEP TWO: PRIORITIZE CREATING A HYPOTHESIS

IF SUCCESSFUL, [VARIABLE] WILL INCREASE BY [IMPACT], BECAUSE

[ASSUMPTIONS].

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 65: Brian Balfour: Building A Growth Machine

STEP TWO: PRIORITIZE JUSTIFYING YOUR ASSUMPTIONS

1

2 QUALITATIVE

QUANTITATIVE

3 SECONDARY

Previous Experiments, Surrounding Data, Funnel Data

Surveys, Support Emails, User Testing Recordings

Networking, Blogs, Competitor Observation, Case Studies

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 66: Brian Balfour: Building A Growth Machine

STEP TWO: PRIORITIZE CREATE EXPERIMENT DOC

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 67: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 68: Brian Balfour: Building A Growth Machine

STEP THREE: TEST

WHAT IS THE MVT (MINIMUM VIABLE TEST)

TO UNDERSTAND OUR HYPOTHESIS?

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 69: Brian Balfour: Building A Growth Machine

1 EFFICIENCY What is the least resource intensive way to gather data about the hypothesis.

2 VALIDITY The experiment must take into account how to get a valid result by designing a control and required amount of data.

STEP THREE: TEST

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 70: Brian Balfour: Building A Growth Machine

STEP THREE: TEST WRITE THE EXPERIMENT DESIGN IN EXPERIMENT DOC

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 71: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 72: Brian Balfour: Building A Growth Machine

STEP FOUR: IMPLEMENT

GET SHIT DONE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 73: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 74: Brian Balfour: Building A Growth Machine

STEP FIVE: ANALYZE

1

2 IMPACT

SUCCESS/FAIL

3 WHY?

How close to your prediction?

The most important question you can ask. Why did you see the result that you did?

Be prepared for a lot of failures.

Page 75: Brian Balfour: Building A Growth Machine

STEP FIVE: ANALYZE LEARNINGS + ACTION ITEMS IN EXPERIMENT DOC

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 76: Brian Balfour: Building A Growth Machine

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

4. Implement

5. Analyze (Experiment Doc)

3. Test (Experiment Doc)

6. Systemize (Playbooks)

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 77: Brian Balfour: Building A Growth Machine

STEP SIX: SYSTEMIZE

1 PRODUCTIZE Productize as much as you can with technology and engineering.

2 PLAYBOOKS For the things you can’t productize, build into step by step playbooks to make them repeatable.

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 78: Brian Balfour: Building A Growth Machine

6. Systemize (Playbooks)

1. Brainstorm (Backlog)

2. Prioritize (Experiment Doc + Backlog)

3. Test (Experiment Doc)

4. Implement

5. Analyze (Experiment Doc)

REPEAT

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 79: Brian Balfour: Building A Growth Machine

WHAT A TYPICAL WEEK LOOKS LIKE

Monday Tuesday Wednesday Thursday Friday

Growth Meeting - Learnings - Goal Review - Blocking Items/

Strategies

Predicting, Prioritizing, Implementing, Analyzing, Systemizing

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 80: Brian Balfour: Building A Growth Machine

WEEKLY GROWTH MEETING DON’T GET ATTACHED TO IDEAS

1

2 GOALS

LEARNINGS

3 BLOCKING

Learnings, not updates. You can monitor experiment updates in the pipeline.

Progress against goals

What blocked you from doing something this week?

Page 81: Brian Balfour: Building A Growth Machine

WEEKLY GROWTH MEETING TEMPLATE

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 82: Brian Balfour: Building A Growth Machine

MACRO OPTIMIZATION (REVIEW QUARTERLY)

1

2 ACCURACY

BATTING AVG

3 THROUGHPUT

How many successes to failures? Our we improving over time?

Are our predictions getting more accurate?

How many experiments are we running in a given time period? How do we do more?

Page 83: Brian Balfour: Building A Growth Machine

MACRO OPTIMIZATION HOW WE IMPROVE

1

2 INFRASTRUCTURE

TEAM

3 PROCESS

Improve current teams skills. Add to the team.

Experiment, analytics, and qualitative feedback infrastructure

Refining the process for more efficiency or quality of ideas, implementation, and analysis.

Page 84: Brian Balfour: Building A Growth Machine

A FINAL WORD PART ONE

ITERATION DOES NOT EQUAL INCREMENTAL

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 85: Brian Balfour: Building A Growth Machine

A FINAL WORD PART TWO

IT IS NEVER TOO EARLY TO START THIS PROCESS

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 86: Brian Balfour: Building A Growth Machine

A FINAL FINAL WORD

THERE IS NOTHING SPECIAL ABOUT THIS PROCESS. SUCCESS COMES DOWN TO

GRIT, FOCUS, AND PERSISTENCE.

Brian Balfour :: @bbalfour :: http://www.coelevate.com

Page 87: Brian Balfour: Building A Growth Machine

THANKS!

Brian Balfour :: @bbalfour :: http://www.coelevate.com