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Sales Cloud

The reference sales pipeline: leads, opportunities and forecast in a governed process — with AI suggesting the move.

FOCUS · SELLING AS A PROCESSFrom lead to contract with method: the pipeline visible, the forecast credible
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01 · What it is

Sales Cloud, made clear.

Sales Cloud structures selling: leads qualified and assigned, opportunities with stages and probabilities, activities tracked, quotes (CPQ) and a forecast the management can sign. Einstein adds scoring and suggestions. The difference between installing it and adopting it is the process — our job.

Pipeline
every deal with a stage, a value and a next step: the selling is visible
Forecast
categories and trends: the end-of-quarter number without crystal balls
Einstein
lead scoring and insights: AI that organizes the salesperson's day
Sales Cloud
OFFICIAL SALESFORCE BRANDING · SALES CLOUD
INTERFACCIA REALE · DASHBOARD SALES CLOUD · FONTE: SALESFORCE
REAL INTERFACE · SALES CLOUD DASHBOARD · SOURCE: SALESFORCE
02 · How to use it well

The things that make the difference.

The governed funnel

Leads from marketing and channelsthe qualified entry
Opportunities & stages
Activities & email
Quotes (CPQ)
deal · work · offer
Forecast & dashboardsthe management sees
Data Cloud & ERP connectedthe complete context
From contact to signature, tracked

Process before fields

Stages, exit criteria and ownership defined with sales: the CRM photographs a method, it doesn't replace it.

Adoption earned

If the seller puts in more than they get back, they won't use it: automations and mobile reduce the friction.

ERP data alongside

Orders, revenue and outstanding payments visible on the account: the informed deal.

An honest forecast

Categories used with discipline: the number the management can take to the board.

03 · In depth

Pipeline, forecast and the data engine

Sales Cloud is governed on the model: roles and sharing rules decide who sees what, the sales processes (sales paths per record type) guide the stages, the forecast by categories (commit/best case) is built on opportunity discipline; Einstein adds lead/opportunity scoring and activity capture hooks up mail and calendar without data entry; Flows automate assignments and follow-ups; reports and dashboards live on the same objects, without extracts.

  • Sharing model — OWD, roles and sharing rules: visibility designed, not suffered
  • Sales path — stages with exit criteria per deal type: the method in the CRM
  • Forecast categories — commit/best case/pipeline: the review that speaks one language
  • Einstein scoring — leads and opportunities ranked by the model: the time on the right deal
  • Activity capture — mail and meetings synced by themselves: the CRM without data entry
  • Flow — automatic assignments, alerts and tasks: the process that runs itself
04 · Numbers and lifecycle

The numbers that matter.

3/anno
the Salesforce releases: the new features arrive on their own
+29%
the sales productivity reported by Salesforce customers
0
extracts: reports and dashboards on the live data
1
shared pipeline: the review without Excel sheets
The CRM pays off if it's adopted: data model, paths and forecast designed by us — and the sales force really uses it.
05 · Use cases

Where it really pays off.

B2B sales forces

Long, complex pipelines, finally readable.

Multi-brand groups

Common processes, separate views.

Generational handovers

The customer portfolio that stays with the company, not in someone's phone.

The CRM doesn't sell: it gives method to those who sell. We configure it around YOUR method.