LeadGnome offers their sales intelligence application which mines response emails to marketing campaigns and locates other potential contacts to help find decision makers, and furthermore automates the process of cleaning CRM customer and sales related data via email data mining.
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LeadIQ
Score 7.2 out of 10
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LeadIQ is a prospecting platform that helps outbound sales teams build pipeline through contact data, a AI cold email writing assistant, contact and account tracking for job changes, and CRM enrichment, all integrated into sales tools used daily.
LeadGnome is a perfect fit for B2B businesses executing account-based marketing campaigns. It's perfect for organizations looking to increase accuracy and integrity of their contact data. It's perfect for organizations looking to grow their database with additional contacts within the organizations they're targeting.
Outbound Demand Generation: Self Sourcing leads for prospecting can be a challenge for any outbound team. It was even for us, and when we were doing it manually through LinkedIn and finding emails through email hunter extension. The task was cumbersome and time-taking, and painful. Having something like LeadIQ was magical for the Outbound team when it came to self-sourcing our own contacts and accounts, from our TAM.
TAT for Prospecting decreases: Since sourcing of leads and accounts becomes much more efficient. Reps spend more time on the ground and phone and less time on the CRM. This was again a challenge for us in the past, but we have capitalized on LeadIQ and made our "spending time on the ground" metric much better.
Once set up, it's super easy. Just click a button and capture the lead.
Love that you can capture as a contact instead of a lead and that it will attach to an existing account in Salesforce based on a fuzzy match with Company Name.
Love that you can capture data from a lead search list in Sales Navigator, not just from the person's profile page. So you can capture multiple people at a time.
I really like that I can see all the related objects that a given contact might have in SFDC. Lead and/or contact records (even with a company mismatch if it's an old record), accounts, and opportunities.
Rocky start to using it - but good follow up with customer service.
It can create duplicates in salesforce sometimes which is a headache for some departments who require salesforce to be our pure data source.
Sometimes the numbers aren't correct for the right individual - it gets numbers from wrong people with the same name - this has only happened a couple of times, very rare.
We have been very happy with LeadIQ for the past several years. They have quality data at a fair price and that is the most important thing for us. Their product continues to grow and expand and they are great to work with from a customer experience point of view.
I have yet to contact LeadIQ regarding support for the tool. Usability is pretty straight forward, and I was trained well to use the tool properly. I am giving the rating of a five since I can not say I have had contact with the support team.
The user experience and design of the platform + the data health were far superior to UpLead and the other tools I demoed. I was also impressed by the pricing structure and the ability for me to pick and choose my plan or customize based on the sales team numbers and team capacity.
LeadGnome has identified new prospects for my organizations, which has led to new deals sold and an increase in revenue.
LeadGnome has enriched the data in my CRM and helped speed up operational execution after the sale. This has increased speed to service and decreased the need for additional internal communication.
So far not a happy customer. We have had a few positive results but for the most part, all phone numbers are relatively inaccurate or they are personal numbers scraped from LinkedIn. When calling a personal number, people are surprised and find it intrusive.
We would not recommend this service until it invests more into correct corporate switchboard numbers at the bare minimum. Currently, these are often incorrect.
