Algonomy Omnichannel Personalization vs. MoEngage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Algonomy Omnichannel Personalization
Score 3.1 out of 10
N/A
Algonomy (formerly Manthan-RichRelevance) is a customer engagement tool used primarily for omnichannel and eCommerce personalization. It is built for enterprise retail companies who want to personal web content, search features, and product recommendations in online stores. The Algonomy Personalization Graph (based on RichRelevance technology) aggregates key data such as customer behavior, content, context, and product information, to deliver the more relevant experience for each customer that…N/A
MoEngage
Score 6.8 out of 10
N/A
MoEngage is an insights-led customer engagement platform, that empowers marketers and product owners with AI-driven insights and the ability to instantly turn those insights into cross-channel experiences.N/A
Pricing
Algonomy Omnichannel PersonalizationMoEngage
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Algonomy Omnichannel PersonalizationMoEngage
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup fee$1,000
Additional Details
More Pricing Information
Community Pulse
Algonomy Omnichannel PersonalizationMoEngage
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Algonomy Omnichannel PersonalizationMoEngage
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User Ratings
Algonomy Omnichannel PersonalizationMoEngage
Likelihood to Recommend
-
(0 ratings)
8.8
(2 ratings)
Likelihood to Renew
-
(0 ratings)
2.0
(1 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Algonomy Omnichannel PersonalizationMoEngage
Likelihood to Recommend
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
MoEngage is well suited for all tech-enabled businesses, as then one can integrate all the possible events or relevant metrics, push them on MoEngage, and then make meaningful insights out of that, and--most importantly--use those for improving their customer engagement. It's probably not suited for offline-only businesses, stores, etc.
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Pros
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
  • Basic use cases of Push Notifcation and Email enablement
  • Scheduling certain events with an API, as we have more APIs it's become very useful
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Cons
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
  • Attribution
  • Onboarding could be faster
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Likelihood to Renew
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
Considering the inability to scale and the bad service level provided by MoEngage not sure if the organization will continue with the renew
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Support Rating
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
It's good and mostly on-time support. But they have a lot of demand, hence at times, they take some time to get back to us. Overall, they know their game and most of the people we spoke with knew their domain very well.
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Alternatives Considered
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
Haven't evaluated other tools because back then there is urgent need and expected that they could provide on of the best quality service but in fact when being pushed for the scale for the growth of the company, it seems that MoEngage team is not able to cope up with the speed.
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Return on Investment
Algonomy (Manthan-RichRelevance)
No answers on this topic
MoEngage
  • It has increased our customer retention.
  • Improved average revenue per user through cross-sell campaigns
  • It has helped us make faster decisions through real-time analytics.
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ScreenShots

Algonomy Omnichannel Personalization Screenshots

Screenshot of Capture shopper attributes and preferencesScreenshot of Personalized search preview and auto-complete suggestionsScreenshot of No-code build your own strategy in 3 clicksScreenshot of Set custom dynamic experiences

MoEngage Screenshots

Screenshot of Insights and action on the same screen - Once user data is analyzed, a new campaign can be started without going to a new tab/page.Screenshot of Predictive Segmentation based on RFM Analysis - In addition to user-defined segments, MoEngage comes with predictive segments based on RFM ( Recency, Frequency and Monetary) Analysis. This splits users into segments like 'Potential Loyalists' and 'About to Sleep', so relevant campaigns can be run to convert them.