ManyChat vs. Rasa

I found that ManyChat is a strong tool when receiving incoming messages, being able to create a tree of potential responses based on options given to the initiator. There is also a huge potential for complex automation (as long as the environment required by Facebook in order to send outgoing messages is maintained).

Incentivized

Rasa Pro is well suited for corporate use and for chatbots which require backend connections. Smaller chatbots with a few flows might be better served with a simple dialogue engine and custom AI agents, or Rasa Open Source. Rasa does not come with its own complex vector database, just in-memory FAISS and connectors to external vector DB's such as Milvus and Qdrant. It provides only a basic document parser and embedder for FAISS. If you need to build a RAG focused chatbot around a large knowledge base with complex documents, e.g. lots of MS Word or PDF files, you'll have to build a separate document parser and embedder, as well as your own semantic search engine

Incentivized

• Collect email and phone number easily
• provide 24/7 customer support to your customers
• More than one ways for people to opt into your bot
• great way to provide offers and sales to your subscribers via messenger
• Great to build a relationship with your followers on Instagram

Incentivized

• Rasa team has Top notch AI knowledge
• Greate customer support, by listening towards the clients needs.
• And building future proof solutions around client Business Requirements within dazzling timeframes

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• Honestly, the only thing I don't like about ManyChat is their support. It seems to be almost non existent. However, that concern is negated by having a fantastic user base that helps each other out on Facebook.

Incentivized

• No-code apps could be improved
• Online docs can be messy
• Steep learning curve

Incentivized

ManyChat is a great tool, provides loads of features, integrations and just saves you a whole load of time once all set up. If you aren't tech-savvy or used to how digital marketing tools work, it can appear complicated. That's how I felt initially 2 years ago, and after watching tutorials online I had a better understanding of it. This is why I rated it a 7, as it's not a tool that you can just play around with and guess how it works. There's definitely a learning curve with it so I recommend doing the free training and watching video tutorials.

Incentivized

With the help of dedicated team - documentation and video resources it is relatively easier to build. We prioritized pro-code usage to begin with launch.

Incentivized

There is room for improvement but frankly, we haven't had the need to request for support. Everything is pretty easy to setup and there are very useful video explanation guides and walkthroughs on ManyChat's YouTube channel. The only challenge we have had was to integrate it with Zapier, it's a bit tricky because you need to do a setup workaround first, but nothing too complicated.

Incentivized

Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented

Incentivized

I've worked in the past with Chatfuel. However, I decided to switch to ManyChat due to a variety of reasons. Overall, ManyChat offers much more functionality out of the box (e.g., Facebook comments tool), sequence builders are much more intuitive. Also, they provide flexible pay as you go pricing plan, which is perfect for a startup like us.

Incentivized

Incentivized

• For the intended application, we experienced a negative ROI due to the inconsistency in the ability to maintain the automation without incoming responses. Since it is a free service that was meant to lead to paid services organically, the inconsistencies prevented the desired outcome.
• We did experience a higher conversion rate with basic incoming messages with questions about services or products due to the ability to have pre-created responses and direction immediately supporting the prospect.

Incentivized

• Cost Savings & Efficiency
• Increased Conversion Rates
• Improved Customer Satisfaction
• Operational ROI

Incentivized