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AI sales analytics

Ask what is driving sales, conversion, and retention

Rumbleo helps sales and growth teams follow a signal from an aggregate result to the segments, channels, cohorts, or accounts explaining it

Request a demo What is conversational BI

Commercial metrics defined once

Exploration by channel, segment, cohort, or account

Follow-up questions in the same conversation

Revenue is flat, profit is down: investigating margin with AI

A worked example of investigating a margin decline, comparing channels and checking missing evidence before attributing a cause.

RumbleoExample using fictional data

Revenue is flat. Why has our margin fallen?

Revenue is unchanged at €100,000. Gross margin fell from 35% to 30%. The decline is concentrated in the online store.

Revenue and gross margin by channel
Channel	Revenue	Previous	Current
Online store	€50,000	40%	32%
Stores	€50,000	30%	28%
Total	€100,000	35%	30%

Gross margin = (net revenue − product cost) / net revenue. Like-for-like comparison periods.

How much does each channel contribute to the decline?

Of the €5,000 in lost gross profit, €4,000 comes from the online store. That is where the investigation would start.

Gross profit decline by channel
Channel	Gross profit lost	Share of decline
Online store	-€4,000	80%
Stores	-€1,000	20%
Total	-€5,000	100%

Online accounts for 80% of the decline; stores for 20%. Revenue in each channel is unchanged at €50,000.

Decisions it can support

The agent structures exploration so teams reach the accounts, channels, and behaviors requiring action sooner

Understand changes in conversion and pipeline
Find segments with risk or potential
Compare campaigns, channels, and cohorts

Required data and definitions

Stages, sources, and customer definitions must be consistent to avoid incompatible conclusions between marketing and sales

Leads, opportunities, stages, and sales
Channels, campaigns, segments, and accounts
Activity, product, retention, and value where relevant

How control is preserved

The agent can apply the function's analytical criteria, but it cannot change permissions or receive database credentials

User and company from sign-in
Checked, read-only queries
Limits and usage monitoring

Questions ai sales analytics teams can explore

Each example starts with a real question and uses the metrics and dimensions the company has already defined

Sales

“Which stage explains the decline in pipeline conversion?”

Compare movement between stages and investigate by team, segment, or source

Growth

“Which cohorts retain better?”

Compare acquisition and subsequent behavior through windows defined in the model

Sales leadership

“Which accounts concentrate this quarter's risk?”

Rank exposure and available signals without presenting a hypothesis as a fact

Explore the rest of the experience

Conversational BI AI data analyst All use cases How it works

Frequently asked questions

What data does a ai sales analytics agent need?

It needs read access to the data and clear definitions for the team's metrics. If a fact or definition is missing, Rumbleo does not present it as known

Can the agent adapt its criteria to the function?

Yes. Each function can have its own analytical instructions without changing company-wide permissions or shared definitions

Does the answer replace professional review?

No. Rumbleo helps investigate and prepare a data-based readout, but important decisions remain the responsibility of people

A demo built around a decision

Bring a pipeline question

We will prepare a demo with your stages, segments, and priority commercial metrics

We will start with a real question from your team