Data Analysis

Before building a model, Forwrd analyzes your historical data, compares it with your business objective, and surfaces the factors and values with the highest impact.

No-Code Metric Builder

This lets you define your business objective, which teaches Forwrd which metric you are trying to improve. It includes three criteria:

The audience you wish to analyze.

Your success criteria.

Your failure criteria.

Relevant use cases:

Take a Tour

* Defining a business objective using the no-code metric builder.

AI Analysis

This process automatically cleans your data, removes garbage & anomalies, normalizes your data, and groups and clusters it for optimal predictive modeling.
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Supported data types:

Text

(ex. email subjects, urls)

Number

(ex. page visits)

Date

(ex. time in current stage)

Boolean

(ex. features used)

Enumeration

(ex. status, stage)

* Forwrd surfaces the factors (on the left) and the values (on the right) that impact the business objective.

* Another data analysis, this time focusing on a numeric factor (on the left) and its underlying values (on the right).

Desirene N.

Workstream

"Identify and prioritize leads faster and more accurately with predictive scoring."

Kevin K.

Feedonomics

“Forwrd.ai makes lead scoring a BREEZE!”

Konstantin P.

Totango

“Easy to learn, significant value from day one.”

Brighie L.

Jasper.ai

“Actionable, clear insights FAST and unparalleled support.”

Allon M.

UserWay

“Forwrd delivers promising predictive insights we likely won't get elsewhere.”

Briana Hart

WalkMe

“Makes using AI so easy (with no code).”

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