Algonomy Find vs. Monetate
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Algonomy Find | N/A | Enterprise companies (1,001+ employees) | Find is an eCommerce search personalization solution that delivers contextual results based on a shopper’s intent behind the search query, and their real-time behaviors across recommendations, and content. It helps to ensure quick product discovery for shoppers, to improve conversions, engagement, and revenue per visit. Further, it allows for conditional boosting, burying, filtering, and search term linking to help meet any specific business goals. | N/A |
![]() Monetate | Score8.3 out of 10 | N/A | Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies. | N/A |
| Algonomy Find | Monetate | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
| Offerings |
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| Algonomy Find | Monetate | |
|---|---|---|
| Considered Both Products | No answer on this topic | ![]() No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
No answers on this topic | 82% Would buy again 32 Answers | |
| Delivers good value for the price | ||
No answers on this topic | 84% Delivers good value for the price 26 Answers | |
| Happy with the feature set | ||
No answers on this topic | 87% Happy with the feature set 34 Answers | |
| Lived up to sales and marketing promises | ||
No answers on this topic | 75% Lived up to sales and marketing promises 15 Answers | |
| Implementation went as expected | ||
No answers on this topic | 72% Implementation went as expected 18 Answers | |
| Algonomy Find | Monetate | |
|---|---|---|
| Small Businesses | Algolia Score8.5 out of 10 | No answers on this topic |
| Medium-sized Companies | Algolia Score8.5 out of 10 | Dynamic Yield Score8.9 out of 10 |
| Enterprises | Algolia Score8.5 out of 10 | Dynamic Yield Score8.9 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Algonomy Find | Monetate | |
|---|---|---|
| Likelihood to Recommend | - | 5.4 |
| Likelihood to Renew | - | 8.2 |
| Usability | - | 6.4 |
| Availability | - | 10.0 |
| Performance | - | 10.0 |
| Support Rating | - | 8.0 |
| In-Person Training | - | 10.0 |
| Implementation Rating | - | 9.1 |
| Vendor post-sale | - | 5.8 |
| Algonomy Find | Monetate | |
|---|---|---|
| Likelihood to Recommend | No answers on this topic | ![]()
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| Pros | No answers on this topic | ![]()
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| Cons | No answers on this topic | ![]()
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| Likelihood to Renew | No answers on this topic | ![]()
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| Usability | No answers on this topic | ![]()
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| Support Rating | No answers on this topic | ![]()
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| Implementation Rating | No answers on this topic | ![]()
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| Alternatives Considered | No answers on this topic | ![]()
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| Return on Investment | No answers on this topic | ![]()
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| ScreenShots | Algonomy Find Screenshots |









