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#opticon2015 Optimization at Optimizely Ash Alhashim Director of Sales & Market Development, Optimizely @ashalhashim [email protected] Amanda Swan Community Manager, Optimizely @swan606 [email protected] Adam Avramescu Head of Customer Education, Optimizely @avramescu [email protected]

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#opticon2015

Optimization at OptimizelyAsh AlhashimDirector of Sales & Market Development, Optimizely

@[email protected]

Amanda SwanCommunity Manager, Optimizely

@[email protected]

Adam AvramescuHead of Customer Education, Optimizely

@avramescu

[email protected]

We optimize a lot. Today, let’s focus on one slice of the pie.

When experimenting, there can be many

sources of complexityWhen testing, there can be many

sources of complexity

A few examples…

#opticon2015

Optimizing Optiverse

Amanda SwanCommunity Manager, Optimizely

@[email protected]

Adam AvramescuHead of Customer Education, Optimizely

@[email protected]

What is Optiverse?Optimizely’s Community, Knowledge Base, & Academy

What you’ll get out of this portion

• Trying to optimize your support site or community?

• Testing search or nav structures?

• What do you do with low sample size (low conversions)?

• How do you optimize without clear conversion funnels?

Effective Communication Channels are Crucial

4 Steps

Expose themes through

qualitative feedback

Test assumptions through

conceptual validation

Analyze results for

directions & preferences

Loop back to qualitative validation and

expand the hypothesis

Optiverse Search

Hypothesis

By removing non-essential filters, and making the essential ones more prominent, we can increase filter usage, improving the relevance of results.Are “content type” filters actually useful and relevant to visitors?

Exposing themes through qualitative feedback

Testing assumptions through conceptual validation

Testing assumptions through conceptual validation

Analyze results for directions & preferences

Analyze results for directions & preferences

Support Clicks > Academy & Community Clicks

Loop back to qualitative validation & expand the hypothesis

Loop back to qualitative validation & expand the hypothesis

Loop back to qualitative validation & expand the hypothesis

The Knowledge Base

Hypothesis

The existing search experience and relevant sidebar content are less helpful for visitors to find the right support content.If we create search-first and FAQ-first experiences, will visitors engage with these options more?

Exposing themes through qualitative feedbackSearch

SidebarDrawers

Testing assumptions through conceptual validation

Search

Testing assumptions through conceptual validation

Sidebar

Testing assumptions through conceptual validation

Sidebar

Search

Analyze results for directions & preferences

Analyze results for directions & preferences

Analyze results for directions & preferences

Analyze results for directions & preferences

Analyze results for directions & preferences

• Implement prominent search

• Search-first vs. search AND sidebar

• Different types of FAQ content

• What would this look like without the drawers?

Loop back to qualitative validation & expand the hypothesis

Summing Up the 4 Steps

• Expose themes through qualitative feedback

• Test assumptions through conceptual validation

• Analyze results for directions & preferences

• Loop back to qualitative validation & expand the hypothesis

LEARN from every experiment

#opticon2015

Optimizing for Reductions& Operational EfficienciesAsh Alhashim

@[email protected]

Director of Sales & MarketDevelopment

Background

How can we reduce errors without negatively impacting lead gen numbers?

Adding email verification to our lead form will increase the overall lead quality, and allow Sales

Development Representatives to spend their time on more revenue generating activity.

Hypothesis

All non-signed-in visitors to the homepage that click on “Test it Out” will enter the experiment

Audience

Original Variation #1

The Recipe

Ingredients

Ingredients

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Ingredients

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The Recipe: Preparation

The Recipe: Preparation

• Test launched using conditional activation mode • Stopping Condition: 33,570 visitors • Double blind experiment

Goals

Goals

Primary Goal: • Sales Accepted Leads

Goals

Primary Goal: • Sales Accepted Leads

Secondary Goals:• Lead/Account Creation• Avg. Infer Lead Score• Opportunity Creation• Customer Creation

Results

Body text goes here.

Results

Statistical

Key Takeaways• Most experiments result in a

statistical tie – plan accordingly• Define success before you run an

experiment• Test deep into your funnel, we have

the technology• Don’t only optimize for CR lift; test for

quality as well

#opticon2015

Ash AlhashimDirector of Sales & Market Development, Optimizely

@[email protected]

Amanda SwanCommunity Manager, Optimizely

@[email protected]

Adam AvramescuHead of Customer Education, Optimizely

@[email protected]

Thank you!