Fin is an AI Agent for customer service. It automates complex queries, improves resolution times, and delivers consistently high-quality support at scale.
$0.99
one-time fee per outcome
Iterable
Score 8.5 out of 10
N/A
Iterable is an AI-powered customer communication platform that activates customers across channels in real-time. With intelligent personalization, dynamic content, and a cross-channel suite, Iterable helps brands create seamless, data-driven experiences across email, SMS, push, and in-app notifications.
N/A
Pricing
Fin
Iterable
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per outcome
Copilot add-on
$35
per month per user
Pro add-on
$99
per month For analysis of 1,000 conversations
Fin with Intercom’s Helpdesk
from $39 + $0.99 per Fin outcome
per month per seat
No answers on this topic
Offerings
Pricing Offerings
Fin
Iterable
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Fin comes with a 90-day money-back guarantee. Here's how it works:
Intercom states that users who sign up for the Fin Guarantee Success Program and do not achieve at least a resolution rate of 65% will be paid $1M. This program is designed for high volume customers.
Eligibility criteria:
High volume customers (over 250k monthly conversions) in North America and Europe. Intercom states that phase one of this program will admit customers on Intercom Helpdesk or Zendesk.
We initially used Dixa Mim Bot, which is a far inferior chatbot and AI system. It felt like they were behind the curve compared to Intercom, with slow progress and little investment in the future of the Bot. It was very basic in its capabilities and needed more Dev support to …
A prospect lands on my site to ask about building profile sizes, wind/snow ratings, installation timelines, or warranty coverage. What Fin does well is deliver instant, consistent answers, pull from approved specs and positioning, and keep the conversation moving without human involvement.
Iterable is a highly robust platform for omnichannel management with advanced personalisation capabilities, and it is among the best in the industry. It does it without being technically overcomplicated, thereby surpassing older industry standards that require developer-level knowledge for advanced personalisation or targeting setups. One thing where Iterable shines is the CSM programs they assign to clients that truly nurture them to reach the full potential of the platform and achieve business goals. There are a few shortcomings here and there, but I haven't seen any platform without them, and overall, the enablement that Iterable allows far surpasses other alternatives.
Customer Journey creation - the platform easily creates a visual path for the marketing team to curate messaging based around timing, channel, behavior as well as add split testing logic and exit criteria so we target only the audiences we want.
Customer Success - one of the best teams I've ever had the pleasure of working with. I'm able to move so much quicker because they really create a helpful partnership.
Audience segmentation, the platform is easy to work with even if you're a first time user, they do a great job of visually showing the logic and the and/or/none type rules.
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.
Insights. I think this is the biggest downfall of Iterable, the insights and analytics area is really not good at all. We have almost stopped using it all together in favour of just using Mixpanel (but now we're paying for 2 platforms). Things we can do in Mixpanel that we can't do in Iterable:
- custom conversion windows
- more scalable reports
- comparing multiple events
- setting up alerts that trigger to slack
Segmentation - building segments and organizing lists that are already built.
- relative dates can be confusing but are a critical piece of building lists
- unable to compare multiple events
- we have a pretty good naming structure for our lists but with so many daily users, no good way to organize them (with labels or folders) and searching for a list requires you to find the exact word we end up re creating dynamic lists each time
- static lists don't show you what rules were used to create the list
- no way to see changes over time
Improved ways of collaborating. There's no way of knowing if other people are editing a list, template, campaign or journey. easy to overwrite each other's work
I've been an Iterable user for about 4 years, at 2 different companies. SinceI started using Iterable I think the number of bugs has increased.
I wish Iterable did a better job testing releases so we're not the ones discovering issues so frequently.
In app message. We've had issues with this tool/channel starting at implementation. It feels like it never made it's way out of beta, despite us paying for it now.
The app team offered to do working sessions with us to understand how we use it day to day and never followed up on that. There have been no improvements to the tool and any time we run into another issue with it (although Jena in support is great) it takes forever to diagnose or we are told the issue cannot be replicated. It just feels like we have constant issues with this tool.
We've actually onboarded to another tool (not ideal for omni channel) for some in app messages because this one has so many downfalls and is so buggy.
Self serve documentation is great when you have an idea of what you're doing but not entirely sure. It is not easy to understand for people who are newer or less well versed in the platform.
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.
The platform is overall clear and intuitive. As with any new platform, there's a learning curve, but that wasn't an issue for our team (and it shouldn't be an issue for others). Fin options are scattered across several submenus, and I'd like them grouped together, but I also like having all those training-related tabs open at all times, so it's not much of a real issue for me.
Iterable is there like 99.9% of the time. However, when it goes down, it grinds us to a halt. Most of the time, outages are an hour or less, but if that's at a peak time, it can be a nightmare. That said, when the worst does happen, there are frequent updates and an easy situation tracker that give you an estimate of how much longer you'll have to wait for the issue to be resolved.
The API is super quick. The UI can be a little sluggish depending on what you're loading, but overall Iterable performs great. Iterable appears to do a good job of making processes async so that one action isn't blocking another.
I can get help by asking Fin questions about itself. It answers accurately, citing its own Help Center resources with visuals. It can reason and dialogue well. But when it comes to getting human support for Fin, it is not as quick. It can sometimes take a few days. They are polite and well-meaning. Some things aren't their fault (product limitations), but there was one occasion where something took a long time to resolve with lots of back and forth but it was I who found out the error in the end that they missed, so they didn't really help resolve it.
I've never experienced any issues with Iterable. As I and my colleagues have learnt the system and it's features, response to questions and advice from our account manager is always quick. Kevin knows the product well, and with the few tricky questions has hasn't been able to answer he's been quick to get back to us.
There are so many AI platforms available, and you could theoretically build a system using the available AI API's from any of the big platforms. However, I dont think it's as easy as this. Intercom is deliberately built for customer service, the features they are releasing a based on providing the best customer experience. If we were to build this ourselves or to use another platform we would be taking on the upkeep, using Fin is just much simpler as it's also our chosen ticketing platform so anything that Fin is not able to answer yet and escalated directly to our team with no extra effort required from our side.
As mentioned previously, I was hired to do a migration from ActiveCampaign, and I stayed for 2 years as a power user of Itearble. Since leaving OneVision Resources, I have continued to volunteer my time in a regional user group, which I would not do if the platform, product, and company were not so strong and so marketer-forward.
We've definitely tested scalability, and it's no line - it works. The process is pretty easy. Most of the times it goes off without a hitch. Any time we do encounter issues, our support team is quick to get on the job and very communicative as they work us through a successful launch.
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.
I do not have hard numbers, as I am not in the department that deals with those kinds of quantifications of impact. However, I do believe the use of Iterable has been a positive thing for us in providing more comprehensive data that is useful when dealing with customer tickets.
