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
Lusha
Score8.4 out of 10
N/A
Lusha is a Business-to-Business (B2B) data and Sales Intelligence platform utilized by sales, marketing, recruitment, and Revenue Operations (RevOps) departments to identify professional contacts, enrich database records, and monitor buying signals. The solution integrates with Customer Relationship Management (CRM) systems, automation tools, and existing Go-To-Market (GTM) stacks. According to Lusha, the system provides access to over 300 million business contacts and achieves over 90% direct…
$0
40 credits
Pricing
Fin
Lusha
Editions & Modules
Fin with your current helpdesk
$0.99
one-time fee per outcome
Fin with the Intercom helpdesk
from $19 + $0.99 per Fin outcome
per month per seat
Pro add-on
from $99
per month
Free
$0.00
per month 40 credits
Starter
$49.90
per month 400 credits
Pro
$69.90
per month 600 credits
Premium
$399.90
per month 3,400 credits
Scale
Fully customizable plan for large organizations
per month
Offerings
Pricing Offerings
Fin
Lusha
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
90-Day Money-Back Guarantee
Fin includes a 90-day money-back guarantee. Customers must use Fin in at least 250 conversations during the first 90 days of their subscription following the trial period.
Customers who are not satisfied may request a refund within 90 days of starting their subscription.
Eligibility: Available to high-volume customers handling more than 250,000 conversations per month in North America and Europe.
I can't think of anything off the top of my head regarding less appropriate. However, this product is very customizable. I think with some improvement in reporting it could be better, however, I would recommend due to these types of things. I love the knowledge base and creating those help centers. I would say that it is fairly easy to set up, but once you set it up, not really knowing all the things, it's hard to go back and change, so it would be nice to have an overall idea of guidance prior to the original setup that can just be improved over time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It excels in contact information, but leaves wanting when it comes to company data and matching, allowing only for matches on either URL or Company Name. Our standard practice is URL, Name and Country which ensures better accuracy. We use it primarily for adding mobile and email details to existing contacts. 25 Intent topics that we can change monthly gives us flexibility to search for specific signals that some of our other tools do not have access to. However, the exports do not come with a number, instead a description.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It would be nice to have a general idea of how many contacts it has information for on a particular account at the very start before scrolling through the different pages.
It would be great to also have the titles of individuals on the list, so it's quicker to sift who to keep in or exclude prior to revealing details.
No product is perfect! Some of the information generated can be inaccurate or generic, e.g., a phone number for a persona may not be direct for that individual but could be a general customer service number for the company and could be the same number listed for multiple prospects.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Intuitive is a very accurate descriptor. Features do not seem to be hidden by poor UI. Things are usually where you would expect them to be, and the UI has been designed to make it pleasant to work within the platform. The platform also scales really well. Both small and large organizations can achieve a great return on investment by using it.
Simple, clean efficient. No lags and gets us the exact data that we need. No unnecessary terminologies, and it works like a charm every time. From prospecting to lead generation, and intent searching, Lusha is our go to tool and it has stayed ever since we started using it. i would highly recommend.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The platform is super easy to use. The UI is very intuitive and clean, and has a similar layout to other data tools meaning you can very quickly jump into it and understand how to source contacts or companies, create lists or run email sequences. At first I found the addition of the AI to be quite overwhelming as it is pushed quite heavily on a number of areas of the tool, but once you get used to that the tools are very helpful. I also found it much easier to setup intent signals than other tools which was a nice bonus. Marked down slightly as I find the CRM integration whilst easy to set up, can fail and disconnect often.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Fin far surpasses these other options in platform features and capabilities. Fin allows for side-by-side use by both the Marketing and Support teams, while none of the other similar products did that well. Most platforms are designed for one or the other, not both.
I used a lot of tools, but Lusha is the most accurate and precise data. Other may have a better user experience inside the platform, but it doesn't really matter if the data generated doesn't convert into sales. Lusha also provides phone numbers, which is fantastic, and most of the tools delivers only emails adresses.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
More time Selling, Less Time Searching: B2B selling today is all about how fast you can reach your prospects. Searching for contact information was daunting and painful a few years back. With 1-click imports, integrations and hunts: tools like Lusha are a massive benefit in terms of saving time in the ever laborious task of List Building.
Better Phone Numbers: Especially in regions like EU and APAC, where mobile numbers are not available with tools like ZoomInfo and Apollo, Lusha comes as a saviour.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
