278x Filetype PPTX File size 0.86 MB Source: world.optimizely.com
Before you build a goal tree,
let’s take a look at the
structure behind it.
Compa
Compa Your company metric
Goal trees help you define ny
ny measures a high-level goal:
the strategic KPIs that your Metric
Metric an increase in revenue for
program will optimize example.
through testing and
personalization. Each business unit takes
Busines a different approach to
Busines
Notice how the company- s Unit that metric. For example,
s Unit
level metric cascades the Marketing department
directly into experiment- might focus on increasing
level goals. the revenue per visitor
Optimizat (RPV).
Optimizat
ion Goals The optimization program
ion Goals breaks down a major KPI
such as RPV into more
focused targets, such as
average order value (AOV).
Individual experiments test
ways to create lift in the
Experimen metrics that matter to the
Experimen program. One might improve
t Goals
t Goals the AOV by optimizing the
average order quantity, for
example.
EXAMPLE
Goal trees break metrics down
mathematically.
Take a look at a category: Revenue
per Visitor, for example. This is the
root for two branches: Average Revenue:
Order Value and Conversion Rate. $2.0m
Notice how the branches multiply to
equal the root. Average order
Value x Conversion Rate =
Revenue per Visitor.
Revenue Visitors:
Use this method to create your own Per Visitor:
goal tree. $1.00 2.0m
Average Conversion User User
Order Rate: acquisition: retention
Value: 2.00% 1.5m 33%
$50.00
Average Average per Cart
quantity: unit price: Add to Cart Checkout
2.00 $25.00 Rate
Build your own tree
Identify the goal tree that aligns best with your own. Modify
it to align it to your own company and program goals.
• Begin at the top of the tree
• What does your company do to generate revenue?
• How does each metric break down into a smaller set of
metrics?
Remember! Each set of branches should equal the value of
the root it springs from.
Digital Commerce + Physical Retail
Profit
Revenue Profit Margin
Revenue Per Customers Fixed Costs Variable
Customer Costs
Online Offline Transactional Shipping & Cost of
Revenue Revenue Web In-Store App CAC Tax Costs Handling Goods Sold
Attribution Attribution
Average Conversion Advertising Assisted Foot Traffic Conversion Basket Size Assisted Product Mix
Order Value Rate Value Rate Value
Internet & Telecom EBITDA
Revenue EBITDA %
Revenue Per Visitors Fixed Costs Variable Costs
Visitor
Average Order Conversion User Retention User Cost of Goods
Value Rate Acquisition Acquisition Sold
Upsells:
Per Contract - Affiliate Landing Page Marketing Mix of sales
Contribution + Attribution Commissions Optimization
LTV
Net Promoter
Score: Product Customer
Order success, Availability Type
customer
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