Sales and Revenue Intelligence
92TriVista score
Apollo.io
Apollo AI
A sales prospecting tool with a database of more than 200 million contacts, plus AI that researches accounts, writes emails, and analyzes calls.
Salesforce Einstein for Sales
AI tool profile ·
AI built into Salesforce's sales CRM that scores which leads are likely to close, forecasts pipeline, and drafts follow-up emails.
74TriVista score
Category rank#8 in Sales and Revenue Intelligence
Baseline ELO1,494.7
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At a glance
What it does
Sales Cloud Einstein is the AI add-on for Salesforce's own sales CRM. Reps use it to score leads and opportunities by how likely they are to close, draft follow-up emails, and get automatic summaries of calls and meetings. Einstein Activity Capture logs emails and calendar events into Salesforce so reps do not enter them by hand, and Einstein Forecasting uses machine learning on past pipeline data to predict quarterly numbers and flag risky deals. Salesforce also sells newer generative AI features under the Einstein GPT and Agentforce names, letting reps type plain-language questions about an account. Most features need the Enterprise or Unlimited edition of Sales Cloud, and admins manage them through Salesforce's standard setup console. Salesforce holds SOC 2 Type II and ISO 27001 certifications.
Where it can help
This fits a company that already runs Salesforce Sales Cloud, since Salesforce does not sell Einstein on its own, and one with a lot of CRM history, at least a few thousand closed deals, for the scoring and forecasting models to learn from. A good starting point is one sales team turning on Einstein Activity Capture and lead scoring first, adding forecasting or AI email drafting later. As a planning figure, budget $50 to $75 per user per month for Einstein add-ons on top of an Enterprise edition seat at about $165 to $175 per user per month, and confirm with a Salesforce account executive. Watch two things: pricing and packaging change often as Salesforce folds features into Agentforce, and the AI's advice is only as good as the CRM data reps enter.
Company fitHow your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Company fit
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Technology Maturity Low Modeled score74.3 / 100 Modeled category rank#8
Baseline Moderate
Adjusted ELO 1,496.0
Change from baseline +1.5 ELO
Industry Healthcare and life sciences Modeled score73.9 / 100 Modeled category rank#6
Baseline Consumer products
Adjusted ELO 1,493.6
Change from baseline -0.9 ELO
Industry Energy and utilities Modeled score73.9 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,493.7
Change from baseline -0.9 ELO
Industry Technology and telecommunications Modeled score74.0 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,493.8
Change from baseline -0.8 ELO
Industry Financial and professional services Modeled score74.0 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,493.9
Change from baseline -0.6 ELO
Industry Construction and real estate Modeled score74.0 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,493.9
Change from baseline -0.6 ELO
Revenue Band $100M-$500M Modeled score74.0 / 100 Modeled category rank#8
Baseline $25M-$100M
Adjusted ELO 1,494.0
Change from baseline -0.6 ELO
Revenue Band Under $25M Modeled score74.2 / 100 Modeled category rank#8
Baseline $25M-$100M
Adjusted ELO 1,494.9
Change from baseline +0.4 ELO
Industry Retail and distribution Modeled score74.1 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,494.9
Change from baseline +0.3 ELO
Industry Industrial manufacturing Modeled score74.1 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,494.8
Change from baseline +0.3 ELO
Industry Food and beverage Modeled score74.1 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,494.7
Change from baseline +0.2 ELO
Company Type Business services Modeled score74.1 / 100 Modeled category rank#7
Baseline Manufacturing
Adjusted ELO 1,494.4
Change from baseline -0.1 ELO
Revenue Band $500M-$2B Modeled score74.1 / 100 Modeled category rank#8
Baseline $25M-$100M
Adjusted ELO 1,494.7
Change from baseline +0.1 ELO
Revenue Band Over $2B Modeled score74.1 / 100 Modeled category rank#8
Baseline $25M-$100M
Adjusted ELO 1,494.6
Change from baseline +0.1 ELO
Industry Automotive and transportation Modeled score74.1 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,494.6
Change from baseline +0.0 ELO
Technology Maturity High Modeled score74.1 / 100 Modeled category rank#8
Baseline Moderate
Adjusted ELO 1,494.6
Change from baseline +0.0 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $20.7K | $33.6K | $55.5K |
| Three-year total | $38.1K | $59.7K | $96K |
| First-year cost per unit | $1K | $1.7K | $2.8K |
| Average annual cost per unit (over three years) | $636 | $996 | $1.6K |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $1.2K | $1.6K | $2.2K |
| Implementation | $5.4K | $9K | $15.3K |
| Integration | $3.9K | $7K | $12.6K |
| Staff time and change management | $3.5K | $5K | $7K |
| Security | $2.7K | $3.8K | $5.7K |
| Administration | $2.1K | $2.8K | $3.8K |
| Support | $975 | $1.3K | $1.8K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 20 enabled users. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Salesforce Einstein for Sales and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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Research support
How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
Salesforce Einstein for Sales current product page
Read official information →
Research observations recorded: 1. Evidence quality: Some support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 74.1/100Category rank #8
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TriVista Score 74.1/100Category rank #8
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