Pre-performance metrics
Fewer misguided expenditures before hard data becomes available.
PROBLEM
Marketing is measured by results: visits, conversions, sales.
- The problem is that these numbers only appear at the end of the process.
If the campaign is not working - the conclusion is only reached after the budget has been spent.
OUR PROPOSITION
Pre-performance metrics
Personalized, numerical, and standardized metrics across the entire organization that allow for the elimination of incompatible ideas and concepts at an early stage.
PRE-PERFORMANCE SCORING
It is an AI engine integrated with customer systems that allows for:
- Defining custom metrics that meet customer needs
- Automatic calculation for all materials
- Comparing results between projects
Solution implemented for Startups
Currently, the metric calculation engine is used to evaluate Startups at the initial stage and is successfully operating on the website https://cresh.me
METRICS
Each metric has a precise definition, which consists of:
- 1.Definition
- 2.Described scale of 1-5 with meaning
- 3.Context specification
- 4.Guidelines such as customer requirements
The result of the metric is:
- 1.Rating on a scale of 1-5,
- 2.Meaning of the rating
- 3.Explanation of the deduction
- 4.Suggestion for improvement
- 5.Sources used
USE CASE
Context
- The agency is preparing a digital campaign for an e-commerce client.
- The creative team has prepared four different campaign concepts.
Problem
- All four concepts are "good enough".
- The client does not want an arbitrary decision “just because.”
- Every weak direction will learn from the media budget.
Definition of metrics
The agency - with the help of the framework - defines its pre-metrics, e.g.:
- Clarity of value proposition
- Alignment with target intent
- Message simplicity
- Differentiation vs market
- Risk of misinterpretation
Checking concepts with an engine
Each of the four concepts is entered into the system:
- Concept description
- Campaign context (industry, goal, channel),
- Set of agency metrics
Engine
- Applies consistent evaluation rules
- Generates a score for each concept
- Shows exactly where the risk lies, not just a "poor result."
Decision before costs
Result
- 1 clearly weak concept → rejected
- 1 average → requires message correction
- 2 best → go into production
Creation and advertising cover 2 directions instead of 4.
We do not replace performance metrics.We make you get to them faster - at a lower cost.
See how pre-metrics work in practiceIf you have any questions, contact us at info@cresh.me