Head-to-head · Personalization Engines
Salesforce Personalization vs Optimizely Personalization
Salesforce Personalization leads on 0 checks, Optimizely Personalization on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreSalesforce Personalization · 9.0/10
- Most featuresOptimizely Personalization · 1 of 4
Salesforce Personalization scores higher on our rubric for personalization engines: 9.0 against 8.9 out of 10; our editors rank them #5 and #6.
Salesforce Personalization is the better fit for salesforce-centered enterprise personalization. Optimizely Personalization is the better fit for established web personalization teams.
- Salesforce Personalization fits best
Salesforce-centered enterprise personalization
- Optimizely Personalization fits best
Established web personalization teams
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Side by side
| Feature | Salesforce Personalization 9.0/10 Visit ↗ | Optimizely Personalization 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.0 | 8.9 |
| Ranking | #5 in Personalization Engines | #6 in Personalization Engines |
| Best for | Salesforce-centered enterprise personalization | Established web personalization teams |
| Pricing model | Paid | Paid |
| Starting price | $8,000/mo | — |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Mobile | Cloud |
| Platforms | Web, iOS, Android | Web |
| Support | Community, Docs · 24/7 | Phone, Tickets, Community, Docs |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Salesforce Personalization 0/4 · Optimizely Personalization 1/4 | ||
| Real-time decisions | Not checked yet | Not checked yet |
| Recommendation models | Not checked yet | Not checked yet |
| Experimentation | Not checked yet | ✓ (best) |
| Mobile SDK | Not checked yet | Not checked yet |
| Specs | ||
| Primary channels | Not checked yet | Not checked yet |
| Monthly profile limit | Not checked yet | Not checked yet |
| Audience segment limit | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Salesforce Personalization is a Customer 360 application for organizations that need individualized experiences across websites, email, mobile apps, and other customer touchpoints. It uses customer profiles, behavioral data, AI models,… Read the review → |
Optimizely Personalization helps marketing and digital teams create audience-based website experiences and measure campaign performance. It can adapt content to visitor behavior and context, with audience creation drawing on multiple data… Read the review → |
Strengths and trade-offs
Salesforce Personalization — where it wins
- Real-time profile and behavioral-data decisioning across channels
- Recommendations, dynamic content, and experimentation in one product
- Deep Salesforce ecosystem coverage, including Data 360 and Agentforce
Where it doesn't
- Starts at $8,000 per organization per month with annual billing
- Data 360 must be provisioned before accessing the product
- No free plan for evaluating core personalization capabilities
Optimizely Personalization — where it wins
- Targets audiences in real time using behavior and geographic context
- Includes a visual editor for changing page elements without code
- Combines recommendations, re-engagement offers, and experience experimentation
Where it doesn't
- Supports web channels only
- Pricing is individually packaged through Optimizely sales
- Designed for mid-market and enterprise teams, not a narrow starter use case
- Salesforce Personalization9.0/10 · Paid
Enterprise personalization across Salesforce channels, starting at $8,000 per organization monthly.
Visit SalesforceFull verdict → - Optimizely Personalization8.9/10 · Pricing on request
A web-focused personalization suite for teams combining targeting, recommendations, and experimentation.
Visit OptimizelyFull verdict →
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All personalization engines comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





