Algonomy Engage vs. Monetate
Algonomy Engage vs. Monetate
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
Algonomy Engage | Enterprise companies (1,001+ employees) | Engage helps eCommerce marketers deliver personalized content and promotions to move shoppers down the purchase funnel. Its centralized dashboard enables users to create, manage, and deliver personalized campaigns across major buying channels - web, mobile, email, etc. It includes a set of pre-built templates for overlays, pop-ups, embeds, etc. to trigger custom messages based on shopper signals such as exit intent, category views, and time spent. | N/A | |
![]() Monetate | 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 Engage | Monetate | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | — | — | ||||||||||||||
| More Pricing Information | ||||||||||||||||
| Algonomy Engage | Monetate |
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| Algonomy Engage | Monetate | |
|---|---|---|
| Small Businesses | Bloomreach - The Agentic Platform for Personalization Score 8.9 out of 10 | Bloomreach - The Agentic Platform for Personalization Score 8.9 out of 10 |
| Medium-sized Companies | Dynamic Yield Score 9.0 out of 10 | Dynamic Yield Score 9.0 out of 10 |
| Enterprises | Dynamic Yield Score 9.0 out of 10 | Dynamic Yield Score 9.0 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| Algonomy Engage | Monetate | |
|---|---|---|
| Likelihood to Recommend | - (0 ratings) | 5.8 (117 ratings) |
| Likelihood to Renew | - (0 ratings) | 8.2 (24 ratings) |
| Usability | - (0 ratings) | 6.4 (17 ratings) |
| Availability | - (0 ratings) | 10.0 (1 ratings) |
| Performance | - (0 ratings) | 10.0 (1 ratings) |
| Support Rating | - (0 ratings) | 8.0 (16 ratings) |
| In-Person Training | - (0 ratings) | 10.0 (1 ratings) |
| Implementation Rating | - (0 ratings) | 9.1 (4 ratings) |
| Vendor post-sale | - (0 ratings) | 5.8 (15 ratings) |
| Algonomy Engage | Monetate | |
|---|---|---|
| Likelihood to Recommend | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Pros | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Cons | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Likelihood to Renew | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Usability | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Support Rating | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Implementation Rating | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Alternatives Considered | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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| Return on Investment | Algonomy (Manthan-RichRelevance) No answers on this topic | ![]() Monetate
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