Data.com (discontinued) vs. Seamless.ai

There are many scenarios that make data.com well suited, but most specifically, it works very well when looking for contacts within a certain zip code. You can sort and find information about these contacts and pay by points. This helps because you are able to pick and choose which you want to pay for.

Incentivized

Well Suited:

1. Studying TAM: And landing at your ICP to target from a business development standpoint
2. Lead Enrichment: Seamless can do it faster than most of the other tools
3. Tracking Job Changes: They've added this new functionality recently, given the fact how important it is

Not Well Suited:

1. Buyer Intent Data: Platforms like G2 and ZoomInfo are pretty good at providing buyer intent signals which is not there in seamless
2. Extensive Search Capabilities: Search is not as powerful as LinkedIn Sales Nav or ZoomInfo

Incentivized

• Data.com is a great way to find out accurate revenue and employee numbers for companies across various industries.
• Data.com's filtering capabilities allow our team to quickly find the ideal prospects to reach out to.
• Data.com, being owned by Salesforce, allows for a seamless integration into our CRM. This saves us an incredible amount of time and ensures data accuracy.

Incentivized

• Very easy to use LinkedIn extension
• find business email address
• One-click sync with our CRM

Incentivized

• Some contacts can be old. Perhaps they could consider validating some that are older than 5 years.
• They don't always detect duplicate companies. For example, I've added the same company twice before, I don't understand how they allow that, or prevent others from adding duplicates. It doesn't happen very often,, only occasionally.
• Sometimes data.com will "autocorrect" a job title incorrectly. For example, entering "Director of People & Culture" will autocorrect it to "Director of peopleandculture" If you don't catch it, it looks pretty bad for the next person who wants to view the contact.

Incentivized

• Out dated email addresses
• Poor customer service

Very intuitive to use and I've never had any confusion with features. Anyone can create an account and use the platform simply by adding a contact or company into the database to earn points. It's a great option if you don't have budget for lists or pay services. It is easy to use and anyone can benefit from it.

Incentivized

Whenever I've had a question their support has responded pretty quickly and gives me exactly what I am looking for. I have not had any technical issues so I can't speak to issues there, but as far as general questions from a free user they have impressed me with how quickly they get back to me and the thoroughness of their answers.

Incentivized

Adobe Workfront may not be the direct competitor of Data.com, but for the services I was using, Workfront looked a little better when it comes to the user interface. But Data.com definitely had more powerful features & better integration capabilities. Also, it was easier to play around with the customer journey in Data.com as compared to other tools I have used in the past.

Incentivized

Great product and great people but I am still scared and scared of giving my credit card because of my experience with Seamless scammers.

• The positive impact is gaining more direct contact information for hiring managers.
• Another positive factor is that it is completely free. You gain points for contact information when you add contact information.
• Since it is a free resource, there are no real negative impacts.

Incentivized

• Scaling Outbound: Seamless has obviously helped us in the past when it comes to scaling our outbound function. List of contacts and leads can be uploaded in bulk and this is extremely useful in outbounding.
• User Friendly: Onboarding the team on Seamless was quite easy. Did not, like its competitors, make the browser hand. Has most integrations with major CRMs available.
• Light on the Pocket: Usually the case with growing teams, as it is not as expensive as its direct competitors. Though the quality of lead data information might be compromised by a certain percentage.

Incentivized