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Lessons Learned from
Building a Growth Team.
Kieran Flanagan
VP Marketing @ HubSpot
@searchbrat
kflanagan@hubspot.com
Signup for Growth TL;DR
“The best monthly tips, chosen by
experts, with the important parts
highlighted to help you put those
tips into action”
>> HTTP://BIT.LY/LEARNGROWTH <<
“There is a
disproportionate value in
being the first mover into a
new space”
- Gary
Vaynerchuck
When it comes to marketing,
it certainly pays to be a
fast follower.
Examples?
Advertising has been around
for a long time.
The first
American
magazine is
published in
Philadelphia.
This is what an Ad looked like.
Then,
A scholar named Samuel
Johnson writes:
Whatever is
common is
despised.
A scholar named Samuel
Johnson writes:
Whatever is
common is
despised.
Advertisements are now so
numerous that they are very
negligently perused.
A scholar named Samuel
Johnson writes:
Whatever is
common is
despised.
Advertisements are now so
numerous that they are very
negligently perused.
It has become necessary to
gain attention by
magnificence of promises.
Ads moved online in 1994
The following banner
appeared from AT&T in
Hotwired magazine in
1994.
It had a CTR of 44% …
Consider this CTR
versus that of Facebook
Ads
c
44%
Hotwired ’94
1.8%
Facebook ‘14
In 1996 Gary Vaynerchuk took over his
dad’s wine business. It had $3 million in
revenue.
By 2005 that number was $50 million
His weekly newsletter was a
big part of that growth.
Those emails regularly got open
rates of +80%.
Mass adoption of email for
marketing has lead to a
steady decline in CTRs.
That decline is set to continue
AirBnB grew by automatically posting your
listing to Craigslist.
And is now being disrupted by vertical
markets like AirBnB.
This is a common cycle in marketing
Effectiveness
Time
1. Tactics Discovered
2. Tactics Optimized
EVOUTION OF TACTICS
3. Tactics Adopted by Masses
4. Tactic Fatigue
Image courtesy of http://www.reforge.co/growth-series/
THE POPULARITY OF POP UPS
Neil Patel
(Yes/No)
Pop up
Fast
Followers
Adopt
Lots of
Tools helps
Mass adoption
CTR normalize
for all users
“It works for a while, until
your customers get used to
the effect, and start ignoring
it”
Andrew Chen, Entrepreneur
A growth team helps you foster a
culture of validated learnings,
help find points of leverage and
will innovative on existing
channels.
@Searchbrat
Here are some of our learnings ..
Growth Lessons
1
2
Goals for Experiments
Approach to Experiments
3 Examples of Experiments
1
Goals for
Experiments
Experiments
can help
change the
world.
An additional $60 million in
campaign funds.
All good marketers focused on
growth should have an
obsessive focus on a singular
goal.
They know how to measure and
prioritize the right metrics.
This will change how you measure
the success or failure of your
experiments.
CRM Active Users
Would video increase active users of
our CRM?
One version of the sign up page had
video explaining the product.
Version A Version B
Version A Version B
Generated 30%
more sign ups
Version A Version B
Generated 10%
more active users
* WINNER *
Active Users > Sign
ups
Having a culture of shared
learnings means other team
members can benefit.
LeadIn Active Users
Would video increase active users of
LeadIn?
One version of the sign up page had video
explaining the product.
Version A Version B
Version A Version B
Increased sign
ups by 13%
Version A Version B
Increased active
users by 130%
The PIE model will mean you work on
experiments with highest impact.
The PIE Model is based on 3
simple scores.
Potential – The potential ceiling for this experiment
Importance – The importance to the business
Ease– Ease of implementation
Number of
SEO Visits
% CTR on Sign
up page
% of people who
add email and
domain
% of people who
get error
messages
% of people who
have existing
portals
% CTR on
Onboarding
emails
WATs
CR Team
Member Invite
Page
POTENTIAL SHOULD BE TIED TO A RANG
Number of
SEO Visits
% CTR on Sign
up page
% of people who
add email and
domain
% of people who
get error
messages
% of people who
have existing
portals
% CTR on
Onboarding
emails
Number of
Teams (+1)
CR Team
Member Invite
Page
{10,000}
{20%}
{2,000}
{40%}
{800}
{50%}
{400}
{20%}
{80}
Number of
SEO Visits
% CTR on Sign
up page
% of people who
add email and
domain
% of people who
get error
messages
% of people who
have existing
portals
% CTR on
Onboarding
emails
Number of
Teams (+1)
CR Team
Member Invite
Page
{15,000}
{20%}
{3,000}
{40%}
{1200}
{50%}
{600}
{20%}
{120}
Number of
SEO Visits
% CTR on Sign
up page
% of people who
add email and
domain
% of people who
get error
messages
% of people who
have existing
portals
% CTR on
Onboarding
emails
Number of
Teams (+1)
CR Team
Member Invite
Page
{10,000}
{20%}
{2,000}
{40%}
{800}
{50%}
{400}
{40%}
{160}
Hat Tip to
WiderFunnel for
PIE
>> widerfunnel.com <<
@WiderFunnel
2 Approach to
Experiments
Each marketer has their own
experiment funnel.
IDEAS
EVALUATION
PIE SCORED
RUNNING
ANALYSIS
OUTCOME
All experiment ideas
Gather all information for
PIE
PIE Score
Active experiments
Analysis of run experiments
What we learned
Shared experiment board on Trello
Shared experiment board on Trello
In a given week we have 20 to
30 experiments running.
Add Growthhackers Projects
Growthhackers Projects
“I have not
failed. I’ve just
found 10,000
ways that won’t
work.”
- Thomas Edison
3 Experiments 
Our experiments are split into the
following categories.
Prove a hypothesis about the way
something works.
ANALYSIS
Prove if a different version would perform
better than the control.
TESTS
Prove if an untested tactic or channel can
provide us with points of leverage.
PILOTS
Let’s Run Through Some Experiments
Increase
Organic
Traffic
Increase
Content
Performance
Increase
Leads from
Blogs
Increase
Sign ups
with Copy
Experiment to rank more of our content in
Google’s answer box
Look for commonalties
in the content that
ranks for featured
snippets.
From a sample of just under 5,000
queries, I found that the CTR to our
website for high volume
keywords increased by over 114%,
even when we ranked #1.
@matthewbarby
What we found
Search query should
appear as header with
clear steps directly
after it.
In general the “answers”
were between 54 to 58
words.
Google will often show the “Steps” listed
in chronological order.
Based on learnings, we updated 80
blog posts that ranked on the first
page of Google for 199 keywords.
Over 10% of keywords moved into
Featured Snippet box.
Organic traffic to these posts
increased by 23%.
Let’s Run Through Some Experiments
Increase
Organic
Traffic
Increase
Content
Performanc
e
Increase
Leads from
Blogs
Increase
Sign ups
with Copy
Experiment to create the optimal editorial
calendar for our blogs
Longer content on
our blog gets more
organic traffic.
It also attracts more
inbound links and
social shares.
We can use this information to run
experiments around content formats.
Let’s Run Through Some Experiments
Increase
Organic
Traffic
Increase
Content
Performance
Increase
Leads from
Blogs
Increase
Sign ups
with Copy
How much of a difference does
user intent make?
Before: “how to write a press release”
After: “how to write a press release”
How to overcome the effects of
“CTA blindness”
End-of-post banner
CTAs historically had
generated a lot of
leads but their
impact had declined.
Track performance of CTAs so we can
spot downward trends.
We tested against CTAs that
looked less like Ads.
Anchor text CTAs
increased our
leads generated on
that post by 121%.
Always look for that fast follower
advantage.
Would making the design of our
blog a lot ‘cleaner’ increase CTR
on those CTAs?
Good for content
discovery but could be
very distracting.
We removed it and monitored our
results over 4 weeks.
Clicks on our anchor text CTAs
only improved by 5% 
But load time of our blog posts
improved by 50% and organic
traffic is trending upwards.
Let’s Run Through Some Experiments
Increase
Organic
Traffic
Increase
Content
Performance
Increase
Leads from
Blogs
Increase
Sign ups
with Copy
“Make everything
as simple as
possible, but not
simpler.”
Sometimes the experiments with
the best results are the simplest
ideas.
Small copy changes can supercharge
viral loops.
Small copy changes can supercharge
viral loops.
User adds LeadIn
to their blog
The user clicks on
the “Powered” by
link
The user creates a
LeadIn account
We changed the copy for that link ….
… and increased the number of people
who clicked on it by 340%
Small copy changes can remove friction
in your sign up flow.
We added 6 words of copy to alleviate
peoples concerns …
… and increased our Free Trial sign up by
10%.
Remember, not every experiment
is meant to be a run-away success.
We run experiments to learn what our
future points of leverage could be.
Maybe communities like Slack will be
more important for brands than email?
Performance to date only
slightly better than email
with 6% CTR.
Could push notifications provide better
results than email?
Could push notifications provide better
results than email?
Constantly experiment with new
platforms that may have relevant
audiences.
An experimental approach to
marketing helps you build a
plan based on future trends.
@Searchbrat
Remember when
surviving a bear
attack ….
Get in Contact.
Twitter: @searchbrat
LinkedIn:
linkedin.com/in/kieranjflanagan
Google: Search for “Kieran
Flanagan”

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Lessons Learned from Building a Growth Team

Notes de l'éditeur

  1. Let’s start with a quote from Gary Vaynerchuk. There is a disproportionate value in being the first mover into a new space. Those who adopt a platform or a marketing tactic first have a point of leverage over their competitors. This means they have something unique that makes it really difficult for their competitors to outgrow or surpass them. Examples HubSpot and Content Marketing Moz and SEO/Content Marketing ? ?
  2. When it comes to marketing and marketing tactics, it absolutely pays to be a fast follower. A fast follower means you’re not necessarily the first person to adopt that platform or tactic, but you’re in the leading pack of people who use it before it becomes really popular.
  3. Let’s look at some examples
  4. We moved ads online in 1994 in the form of banner ads.
  5. This is one of the very first banner ads run on hot-wireds magazine in 1994. It was for a campaign run by AT&T.
  6. It had a click through rate of 44%. Could you imagine how great our lifes would be if we could get a 44% click through rate on banner ads. Those early adopters must of thought they had found a gold mine.
  7. There is a 2444% better click through rate on the banner ad placement on the HotWired magazine. https://www.quora.com/What-is-the-average-CTR-on-Facebook-ads
  8. Gary Vaynerchuck who’s quote we read earlier took over this dads wine business in 1996. It was generating near $3 million in revenue each year.
  9. Gary turned this into 50 million by 2005. He did this by turning the wine store into an online ecommerce store and building an email list.
  10. He had a weekly newsletter that he sent out to that list with wine recommendations
  11. Those emails would often get open rates of 80%. 80% open rates !! I’ll just pause to let that sink him.
  12. Over the years email has become a core component of a marketers toolset. It’s still an effective strategy but the open rates are in a state of continuous decline. As we heard from Samuel Johnson earlier – “Whatever is common is despised” People’s attitude to email has changed a lot the more it has been misused by both marketing and sales.
  13. AirBnb, who are a private company with a market cap of over 20 billion dollars, used Craiglist in their early days to help scale the business. They created an integration with Craiglist, not an official one, they actually hacked one together that Craigslist eventually stopped, but it was to automatically post your AirBnb listing to their site. This really helped AirBnb get some initial traction.
  14. The funny thing is, Craigslist growth has been flat because it’s now being disrupted by those very same vertical markets, like AirBnB and Uber.
  15. This is actually a common cycle in the world of marketing
  16. Consider even a simple trend like the growth in popularity of the pop up. An influential blogger like Neil Patel will post results his had from implementing a Yes/No popup. He will talk about how much it’s helped him to increase his subscriber rate. Fast followers are first to try it out for themselves, and more importantly, iterate and improve upon the original approach. As more and more people blog about their results, theirs mass adoption, tools to help you automate the process. Once that happens, there is really only a downward trend where results will start to normalize for everyone. Your goal is to be on this side of the curve. By being on this side of the curve you could of built up a substantial email list by the time results normalize give you an unfair advantage or point of leverage over your competitors.
  17. Andrew Chen has the perfect quote to summarize this kind of trend “It works for a while, until your customers get used to the effect, and start ignoring it”. So there is an inherent advantage in being a fast follower when it comes to both platforms and marketing tactics.
  18. Having a growth team or a growth culture within your marketing team helps foster a culture of validated learning’s, so instead of basing your marketing initiatives on assumptions, you actually base it on things you’ve tested and learnt from. Think how more effective you marketing would be if you only did things that you’ve proved to be successful. They can help you find points of leverage. Points of leverage make it really hard for your competitors to outgrow you. One of HubSpot’s points of leverage is the huge readership we have of our blog. We did this by being a fast follower into the content space. And lastly a growth team will look to innovate on existing channels.
  19. Here are some of the things we’ve learnt from running this model over the past 3 months.
  20. We have a very experiment driven approach to growth. I’ve segmented our learning’s on experiments into 3 categories. The Goal of the Experiment The Approach to the Experiment The different types of Experiment
  21. Let’s start with the goal for experiments.
  22. Marketing experiments may not seem like a life changing event, but they can truly make a pretty big impact on the world.
  23. The digital marketing team that worked for Obama’s election campaign was pretty remarkable. They saw everyone who visited their campaign website as an opportunity. They decided to test two simple things, the splash page, so this Media part, and the call to action, so this giant red button here. They tested 4 different media creative and 6 different buttons against each other, so that’s a total of 24 different variations.
  24. This was the winning combination. The media creative is really family orientated. The CTA button has “Learn More”. This variation increased sign ups by 40.6%. Prior to the test the campaign team assumed adding a video as the creative would perform best. This is the advantage of running a model based on validated learnings.
  25. Those additional sign ups added an extra $60 million dollars in campaign funds to Obama’s campaign. Obama’s digital team continued to run dozens of experiments across the website to increase the number of people who donated funds, eventually helping him to be elected president of the United States.
  26. The best growth marketers are very good at focusing and obsessing on a singular goal. To do that you need to:
  27. The best growth marketers are very good at focusing and obsessing on a singular goal. To do that you need to:
  28. Knowing and prioritizing those metrics will change how you measure the success or failure of your experiments.
  29. Our blogs are a really important part of our business. They produce millions of visits per month and thousands of leads. The reason they’re so valuable as a source of leads is we spend a lot of time running experiments both across the content we produce and how people can convert into a lead. This is Pam who is also on the growth team, feel free to tweet her and say hello from theinbounder.
  30. Here is a perfect example. One of the teams I run is the growth of our sales products. One of those products is a free CRM. We ran a split test on our main sign up page where one page just had a “Get Started” button and the other included both the “Get Started” button and a video case study about the product. That video is just in a pop up if you click on that link. Talk about the learning: Curios people will watch video instead of signing up Others who may of went into the tool and gave up, after watching the video, will know how the tool can benefit them and be more committed to use the tool
  31. The original version of the landing page generated 30% more sign ups over version B. So video wasn’t great for getting people to sign up.
  32. But version B actually generated 10% more active users, people who didn’t just signed up, but actually used the product on a weekly basis.
  33. If you’re trying to grow an audience for a freemium product, than having people actually use the product is a lot more valuable than sign ups. If we had only measured on sign ups, we would of selected version A. This is the value of knowing that singular goal and metric you want to obsess over.
  34. You want to make sure those learning’s are being shared across the team. We took same experiment and ran it across another of the products that I’m responsible for – LeadIn.
  35. Our blogs are a really important part of our business. They produce millions of visits per month and thousands of leads. The reason they’re so valuable as a source of leads is we spend a lot of time running experiments both across the content we produce and how people can convert into a lead. This is Pam who is also on the growth team, feel free to tweet her and say hello from theinbounder.
  36. Ben, who is a growth marketer for LeadIn, ran a very similar experiment, with one landing page including a video and the other didn’t
  37. This time the page with the video actually generated 13% more sign ups than the original
  38. But it actually increased active users by 130% Our learning’s from these experiments was that, when there isn’t a video available, curios users would just sign up to the product because both of them were free. But learning about the product by just signing up may not of been the best path for them so they didn’t become active users. When a video was added, it provided a lot more context on the product, so a lot of curious users, in the CRM’s case, didn’t sign up as it wasn’t a fit for them, but those who did, had a better understanding of the product value so become active at a higher rate.
  39. Running this kind of experiment driven model to marketing requires you to have a model that helps you focus on the right experiments. We use something called the PIE model to make sure we’re only working on those experiments with potential to make a real business impact.
  40. Explain
  41. Ok, so you’ve understood how to set the right goals for your experiments, figure out the right metrics to track and use the PIE model to stack rank these in order of importance for the business.
  42. Ok so you figured out that a team focused on growth obsesses over a single goal, they know the metrics and which ones to judge the success or failure of their experiment by. You’ve got a model like PIE to stack those experiments in order of those that will benefit you most. Let’s talk a little bit on our approach to experiments.
  43. Each marketer on the growth team has their own experiment funnel. We manage this all through Trello.
  44. This is what one of our growth marketers experiment funnels look like. Like a typical marketing funnel it’s wider at the top. You’re always going to have more ideas for experiments than actual experiments you’ve executed on. You evaluate those ideas to identify if they’re worth your time. You need to get enough information to allocate it a PIE score, so you need to know the potential impact of the experiment on the metric or metrics you care about. You need to know the importance of the experiment to your business, does it influence the one metric your business really cares about. And how easy is that experiment to implement. During the evaluation stage a lot of experiments may get killed as they’re considered not worth doing. Those you want to move alone are PIE scored, stack ranked and then added to running in order of priority. In the Analysis stage you’re identifying the results of that experiment And the outcome is where you document the actual outcome of the experiment and describe what you’ll do with the learnings from that experiment.
  45. We have a shared experiment board where all experiments that are planned, running, in analysis and have documented outcomes can be filtered in a bunch of ways. This really fosters a culture of shared learning where all team members running this growth playbook can learn from each other.
  46. In any given week we have 30 to 30 experiments running and having a shared board allows us to provide feedback across each others experiments and also get an idea of what other people are working on.
  47. In any given week we have 30 to 30 experiments running and having a shared board allows us to provide feedback across each others experiments and also get an idea of what other people are working on.
  48. Remember, like any good poker player, most growth marketers only share their wins. But for every win, there are probably 5 experiments that either failed or were inconclusive. The goal isn’t to have 100% success rate on your experiments, the goal is to great a model where you validate assumptions and find those couple of things that will help you make a real impact on the metrics you care about.
  49. Ok, so the final part of this is the type of experiments you can run. The following are the categories we assign experiments to, they may differ from those you’ll want to run.
  50. The first category is probably one that people don’t associate with an experiment, that’s analysis.
  51. The first category is probably one that people don’t associate with an experiment, that’s analysis.
  52. The first category is probably one that people don’t associate with an experiment, that’s analysis.
  53. Our blogs are a really important part of our business. They produce millions of visits per month and thousands of leads. The reason they’re so valuable as a source of leads is we spend a lot of time running experiments both across the content we produce and how people can convert into a lead. This is Pam who is also on the growth team, feel free to tweet her and say hello from theinbounder.
  54. Our blogs are a really important part of our business. They produce millions of visits per month and thousands of leads. The reason they’re so valuable as a source of leads is we spend a lot of time running experiments both across the content we produce and how people can convert into a lead. This is Pam who is also on the growth team, feel free to tweet her and say hello from theinbounder.
  55. The search query you’re trying to rank in the answer box for should appear in the header, usually as a h1, h2 or h3. Directly after this you have clear steps that answers that query.
  56. This one is pretty straight forward, in general the answers were between 54 to 58 words.
  57. Our blogs are a really important part of our business. They produce millions of visits per month and thousands of leads. The reason they’re so valuable as a source of leads is we spend a lot of time running experiments both across the content we produce and how people can convert into a lead. This is Pam who is also on the growth team, feel free to tweet her and say hello from theinbounder.
  58. When segmenting our content by word count, it became obvious our most successful content was longer form content. The reason it gets more organic traffic than any other kind of content is because.
  59. It attracts more inbound links and social shares. People are more likely to link to that content and share that content.
  60. This kind of analysis can help us run experiments around the right mix of content formats and lengths. We’ve ran 6 month experiments before across the content mix on our blog to get this mix right.
  61. Across our blog posts we have these image links at the bottom of each one to generate a lead. They’ve historically been a great source of leads from all of our blog traffic.
  62. We track the conversation rate of all CTA’s across our blog. This means we can spot when the conversion rate of CTA’s start to decline and it allows us to spot opportunities to run some tests.
  63. We wanted to test against call to actions that looked less like Ads.
  64. So we took 11 posts and tested the end of post image CTA against a more natural looking CTA that looks like it’s part of the blog post itself. These increased the number of leads per blog post by 121%. In some cases we found these CTA’s converted between 5% and 6% where as the end of banner CTA’s converted at about 1 to 1.5%
  65. We track the conversation rate of all CTA’s across our blog. This means we can spot when the conversion rate of CTA’s start to decline and it allows us to spot opportunities to run some tests.
  66. So, once we had that result, we thought, would doing a small redesign of our blog help increase the click through rate of those call to actions even further
  67. We originally had this sidebar that surfaced up additional content. It was really optimised for content discovery.
  68. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  69. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  70. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  71. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  72. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  73. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  74. Running experiments as pilots means you’re testing something new. No A/B or multivariate test exists because there is no original to test against.
  75. The experiments you add to this category are about finding points of leverage over competitors. These are the examples I mentioned earlier where you get an unfair advantage, they help you grow quicker and build a moat around your business.
  76. Remember this chart showing the decline in email? Well experiments under the pilot category can help your marketing take account of future trends vs just optimising for current ones, or worse still, historical.
  77. We’ve started to invest time in building out a slack community for our different inbound channels, marketing and sales. In 2 or 3 years time, having a really big slack channel could be a real point of leverage as email continues it’s decline. Add results to date >>
  78. The results to date haven’t been that inspiring, we’re only getting marginal improvements on our results from email.
  79. It could either be the design of the push notification we’re using or maybe we were slightly behind that curve and people have started to ignore them.