Salesforce launched Data.com in 2011, in partnership with D&B, but has since decided to gradually sunset the platform. Data.com offered a store of company and customer data for use in sales and prospecting.
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HG Insights Platform
Score 9.0 out of 10
Enterprise companies (1,001+ employees)
The HG Insights platform provides a view into global industries, markets, and companies allowing users to identify the most valuable opportunities and build strategies to maximize revenue and accelerate growth.
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.
For someone working in B2B IT Marketing, the HG Insights Platform has a wide range of data available that is suited for both a data level employee as well as an ISR. The one draw back is the integration with SFDC isn't as great as we'd like, meaning it is more manual for us to run propensity models using more than one source of data.
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.
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.
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.
It’s very easy to use, and the team is very responsive and friendly to work with. The information is unique and usable and can complement some of the data we get from call recordings. The integration with Salesforce is easy to implement and offers good insights into our database.
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.
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.
- Sales Intel seems to be more of a direct competition. Their human research seems to be something interesting. Also the claim to focus on firmographics - We went with Bombora for intent technology in the past - We did not move forward with 6sense
I don't massively get involved in financial matters, but the propensity models we use internally to help run our campaigns are certainly a big factor when our sales people approach our clients.
Every campaign sold now comes with a flat data fee for us to run and use a propensity model for the activity we complete on behalf of our clients.
Whilst the client will never see the raw data behind the model (of which HG does play a part along with our other data sources) they are briefed on the methodology and reasoning behind them.
