This Optimizely Value Assessment provides a high-level projection of how our products can help your organization realize meaningful business benefits. Projections are based on experience with real Optimizely clients of different sizes and maturity, across a variety of industries.

Company Overview
Tell us a little about yourself
Share a few contact details so we know where to send the results of the assessment.
Company Inputs
These inputs are required to complete the calculations. Benefit ranges in the assessment are determined by the industry, size and growth rate that you provide here.
Digital Experience Optimization Program Maturity

Use the descriptions below to approximate the maturity of your Digital Experience Optimization program. For a detailed assessment of your current maturity, and to recieve recommendations for advancing your maturity, take the Optimizely Experimentation Maturity Assessment.

Level 1
Executional Start

Established experimentation process enables basic experiments that generate interest and first learnings.

Companies of your size and maturity tend to execute between and experiments per year.

Team:

1-2 individuals working on experimentation ~10 hours a week combined; limited to no developer support

Culture:

Experimentation is limited to one team and function, and is driven by front-line staff

Strategy:

Limited processes and experimentation roadmap; front-end A/B experiments on style components (images, text, colors)

Technology:

Limited or no data analytics and integrations

Level 2
Foundational Growth

Core elements and a strong foundation are in place across at least one team (e.g., marketing); experimentation is poised for rapid growth.

Companies of your size and maturity tend to execute between and experiments per year.

Team:

2-3 individuals working on experimentation ~20 hours a week combined; 10hrs a week or less of developer support

Culture:

Multiple teams within the same function are experimenting and management is involved in the experimentation process

Strategy:

Basic roadmap; adhoc ideation and experimentation processes; front-end A/B experiments on layout, navigation, etc

Technology:

Basic web analytics and statistical reporting

Level 3
Cross-Functional Advancement

Experimentation has been embraced by multiple teams and departments (e.g., product, marketing) and is increasingly sophisticated.

Companies of your size and maturity tend to execute between and experiments per year.

Team:

3-4 individuals working on experimentation ~40 hours a week combined; developer support ~20 hours a week

Culture:

Management is actively involved in experimention process and reviews results consistently; experimentation spans multiple teams in 1-2 functional areas (e.g., product, marketing)

Strategy:

Standardized processes and ideation; detailed experimentation roadmap; front-end and mobile experiments expanding into dynamic content and cross-sell and up-sell strategies

Technology:

Custom web analytics and heatmaps; analytics integrations

Level 4
Operational Excellence

Experimentation program operates with excellence and is an integrated part of all product and marketing decisions.

Companies of your size and maturity tend to execute between and experiments per year.

Team:

4-5 individuals working on experimentaion ~80 hours a week combined; developer support ~40 hours a week

Culture:

Director/VP level support for experimentation; multiple teams in multiple functions experimenting

Strategy:

Standardized processes and ideation; detailed experimentation roadmap; front-end and mobile experiments expanding into dynamic content and cross-sell and up-sell strategies; ideation process leverages multiple data points and types of data

Technology:

Custom web analytics and heatmaps; analytics integrations

Level 5
Culture of Experimentation

Experimentation is driving innovation across every team and department; experimentation is a true competitive advantage.

Companies of your size and maturity tend to execute between and experiments per year.

Team:

5+ individuals working on experimentation 120+ hours a week; multiple developers working 80+ hours a week

Culture:

C-suite actively involved in experimentation process; all functions leverage experimentation

Strategy:

Standardized processes and ideation across all functions; detailed experimentation roadmap; front-end and experiments covering all areas of business; ideation process is fluid

Technology:

Custom web analytics; custom, audience targeting, and CMS integrations; advanced statistical reporting

Digital Experience Optimization

Digital Experience Optimization enables companies to unlock innovation and grow revenue by improving acquisition and delighting existing customers to increase retention and lifetime value.

Strategies
Improve Customer Experience Through Experimentation
Experimentation delivers insights that enable better decision making and improved customer experiences. From website conversion rate optimization to experimentation across entire technology stacks and digital channels (mobile, OTT, chatbots, etc), companies that adopt test and learn cultures are able to innovate faster and deliver measurable revenue improvements.
Conservative
Average
Best In Class

Projected Lift

Projected Revenue Gains
Deliver Personalized Site Experiences
Deliver targeted content and experiences in real time, bringing together what you know about your customers and your most successful experiments. Move from providing a single, generic customer web experience, to one that reaches key audiences in meaningful ways.
Conservative
Average
Best In Class

Projected Lift

Projected Revenue Gains
Deliver Personalized Product Recommendations
Deliver product, category and content recommendations to visitors to increase conversion rate and average order value. Experiment on algorithms, placement and presentation to maximize revenue benefits.
Conservative
Average
Best In Class

Projected Lift

Projected Revenue Gains
Take the Guesswork Out of Digital Product Development

Experimentation removes the guesswork from digital product development, improving product team agility and innovation. By enabling product teams to measure the business impact of their work, companies can make better decisions about how to invest limited development resources.

Strategies:
Feature Flagging and Controlled Rollouts
Adopting experimentation into feature release processes mitigates the risks of negatively impacting business metrics by releasing poor user experiences, bugs or security flaws. Optimizely enables teams to roll out features to a controlled portion of your audience, with the ability to instantly roll back releases that have undesireable effects.

Releases Controlled as Experiments, Annually

Odds of a negative release

Average Revenue Loss Per Poor Release

Reduction

Projected Savings

Projected Revenue Gains
Experiment Driven Development
Experiment driven development enables product leaders to validate the business impact of product investments sooner, improving their ability to optimize their portfolio. Early learnings allow completed projects to iterate and deliver better outcomes, and investment in low or non-impact projects can be minimized to free time for additional projects.

Developers on Staff

Average Developer Cost Per Year

Conservative
Average
Best In Class

Developer Time Redirected from Non-Impact Projects

Value of Time Freed
Reduce Costs to Improve Profitability

Use digital insights to inform business process changes to prevent unneccessary costs and improve profitability.

Strategies:
Reduce Support and Service Costs
By providing high-fidelity, delightful digital customer support experiences, many companies are able to reduce the volume of call center activity or tickets without impacting customer happiness or loyalty. By using lower cost-to-serve digital channels, companies can significantly reduce their costs to support customers.

Customer Support and Service Costs, as a % of digital revenue

Customer Service Costs

Conservative
Average
Best In Class

Projected Savings

Projected Cost Savings
Reduce Cost of Good Sold / Improve Profit Margin
Digital insights can inform profitability in many ways. Examples include reducing cost of site production, improving sales productivity through lead quality improvement, clearing bad inventory and reducing hosting costs.

Customer Cost of Process, as a % of digital revenue

Current Annual Cost

Conservative
Average
Best In Class

Projected Cost Reduction

Projected Savings
Optimizely Business Value Highlights
Prepared for:
1-year Cumulative Benefits
3-year Cumulative Benefits
Compared to other companies of your size, growth and maturity, these projections are:
Conservative Average Best In Class

Optimizely is the leader in Digital Experience Optimization, enabling companies to make better business decisions about products, commerce and campaigns. By enabling experimentation at scale across the entire digital product lifecycle, Optimizely provides actionable data that improves business performance. Whether you care about revenue, share of wallet, funnel conversion, risk mitigation or product deployment efficiency, if you do it online, you can do it better with Optimizely.

The only solution that delivers:
  • Ease of use and Program Management drives large scale implementations and helping to 10x the number of experiments
  • Our Stats Engine gives you more accurate results and 30% fewer false positives
  • A single platform to execute experiments across the front and back end of your websites, apps and entire digital technology stack
  • Enterprise grade platform that can scale better than anything else in the market
  • Integrate with your existing data sources for analysis or targeting
3 Year Benefits
Cumulative Value of Optimizely
Results Breakdown
Strategy Year 1 Year 2 Year 3 3 Year Total
Improve Customer Experience Through Experimentation
Deliver Personalized Site Experiences
Deliver Personalized Product Recommendations
Feature Flagging and Controlled Rollouts
Experiment Driven Development
Reduce Support and Service Costs
Reduce Cost of Good Sold / Improve Profit Margin
Entry Breakdown