HappyFox Live Chat vs. Fin by Intercom vs. Ruby Virtual Receptionist Services

Whenever a customer raises a request the same is forwarded to a designated executive with a unique ticket number. Customers can raise their problems via the business website or even an email. They are also sent a confirmatory email that allows them to track the statues of their ticket and also reach out to the concerned executives within the company. All this helps in making customer care fair, efficient and most importantly transparent for the benefit of the customers

Incentivized

Fin is great for using for first line support. We use Fin for conversations where customers have a standard question, and Fin is able to pull from our content to answer this accurately and go above and beyond to include some basic problem solving. This really helps us free up our Support Team's time for more complex queries. Fin isn't appropriate for us on technical issues or conversations which require human support. We've had to remove Fin from interacting on these conversations as customers were becoming frustrated with speaking to AI, or having Fin be unable to problem solve. However, this was easy to set up through Intercom, and now customers with complex questions/situations or bugs/technical issues do not engage with Fin and Fin only handles suitable conversations.

Incentivized

Ruby Virtual Receptionist Services is well suited for a business that needs call screening and message-taking services. The service is expensive but if the user is willing to put a lot of time and effort into planning and scriptwriting, as well as call handling instructions, it may work well. Also, if there is not much information that must be captured by the receptionist, I feel this may be a better fit.

Incentivized

• All the emails convert into tickets and can be assigned to any free agent or team; which help us to respond on customer's query efficiently and in a timely manner.
• One of the best features, which I used while using HappyFox, was transferring the ticket to another team member.
• You can integrate HappyFox with Magento.

Incentivized

• Serves as the first point of interaction.
• Answers questions based on the knowledge base.
• Tries to suggest a solution for reported issues (in some cases).
• Gives the option to improve its answer.
• Learns from other conversations and replies by humans.
• Understands other languages.
• Interprets images (somewhat).

Incentivized

• Call-out request "personal assistant services."
• Ruby Receptionist app.

Incentivized

• HappyFox should provide a customization in category statues.

Incentivized

• It seems some users really struggle to figure out how to escalate to a human (especially through email).
• Not excited about how "soft" resolutions still count as resolutions and are paid for. Though some abandoned cases appear to be able to be concluded as "the user got the answer they needed", there are others where they clearly didn't, because they just open up another chat (or even more), trying to get more info. This pads the resolution stats and makes it seem more effective than it actually is.
• Cost -- Fin is quite expensive. It helps us with scaling coverage, but we're not really saving money.

• Clarity in billing.
• Shortened hold times.
• Less transfer time from call to receptionist (between English and Spanish).
• Better training of receptionists to prevent certain things from being said to clients - decreases client confidence.

Incentivized

We have been and will be continuing our journey with Intercom and nothing too concerning has happened that I have experienced or heard of that has us on the edge yet. If it ever happens it will be something along the lines of "Outgrowing" the use of need of the platform.

Incentivized

From an administration standpoint, Fin is very easy to set up, train, and test. Having the ability to impersonate a user in our system to see how Fin responds is huge. It lets you test several situations and throw curveballs at it (as customers will) without the risk of setting Fin live and wondering what will happen. It's also easy to fine-tune. Some chatbots you can never quite get right without spending hours on, but Fin usually takes a few minutes to dial it in. From a customer standpoint, Fin couldn't be easier to engage with. We tell customers up front it's an AI bot and they're wow'd with the experience

Incentivized

always there

Incentivized

works perfect

Incentivized

Intercom is the premier customer support/engagement model and it definitely has one of the top tier customer support teams as well. I don't think I have ever waited more than 5 minutes to get the information I need or get help with an issue. They are incredible and I aim to model our customer service department after them.

Incentivized

Easy to know the learning path

Incentivized

The implementation was surprisingly easy but we are having to adapt from our old process to work well with Intercom.

Incentivized

We only used the free live chat version from HubSpot, so Intercom is yards better! If I were just comparing an actual live chat between the two tools, HubSpot was often clunky and delayed, and it was hard to find past conversation information

Incentivized

We switched over from Answer First to Ruby Receptionist because we wanted a more full-service answering service. We wanted to be able to call out using our business number as well as text in and out. We also really liked the "call-out request" feature as it freed up our time and allowed Ruby to handle minor client communications, etc.

Incentivized

• We are able to answer customer queries within SLA
• The manned power has reduced, it was complicated to manage and respond to all customers over an email in timely manner.
• We have limited resources, so we don't need to assign tickets or emails to any individual. As all the tickets are re-directed to relevant executive or team member.

Incentivized

• New role opportunities — Using the “Fin-first” approach has reduced the workload for our Tier 1 team, giving them more time to focus on their own career growth. It’s also opened the door to a dedicated, AI-focused role, where a team member regularly reviews Fin’s answers and makes updates to help it perform even better.
• Enabling Fin has also reduced our response time and allowed us to meet SLA's.

Incentivized

• Increased efficiency.
• NEGATIVE ROI.

Incentivized