- DataFox allows you to filter your company searches with very specific criteria. This ensures that you generate companies that are relevant to your customer segment and that will have promise.
- DataFox has awesome export functionality. Once you create a list of companies, you can export it to Excel/CSV and import the list to Salesforce.
- DataFox has a very clean and easy and approachable User Interface that is easy to navigate and learn quickly.
- Sometimes the companies that are generated in a search aren't relevant. For example, if I search for Healthcare Software, sometimes DataFox will generate companies that have to do with Healthcare but aren't software companies. Thankfully, with more precise filtering, you can cut down the inaccuracy significantly.
- DataFox tells you the number of employees at a company, but I have found that this number is often inaccurate or at least not consistent with LinkedIn employee count.
- Initial sync with CRM is relatively effortless
- Signal Data provided for each company is extremely valuable for targeting
- Great Customer success team
- The user interfaces despite being easy to use lacks in certain functionalities. For example insights tab isn't available while viewing a conference list and has to be saved to a static list and viewed.
- Data for smaller companies can be stale sometimes (not refreshed in more than a year sometimes)
- Geographical divisions of companies are treated as a single entity. For example, if I'm looking to target US companies, organizations like Accenture and Samsung do not pop up even though they have a sizable presence in the US as they are headquartered in Dublin and Korea respectively
It is particularly good at understanding technographic information--as they have a strategic partnership with HG Data.
- Datafox has accurate data when it pertains to non-enterprise companies. We've found employee size and revenue to be in very respectable ranges of accuracy.
- The UI is extremely intuitive and simple to use across all departments--even for a first time user like myself. The key to any platform is the simplicity of use and how users are able to flow effortlessly across their process.
- I wish there was the ability to score/prioritize by different types of models (this would allow you prioritize different variations of account "profiles" vs. a catch-all score.
- There could be better contact data, but contact data is hard to come by (unless you're crawling linkedin/email signatures for the real deal).
- This isn't really a knock on Datafox, but I hope for a more robust API integration to other platforms that would benefit from account/contact data (Yesware, ChiliPiper, etc.)
- Companies that fit a keyword. This is really valuable for M&A teams trying to flush out all companies related to a key phrase/market name. It will also give insight into other keywords that provide insight for how it compares to similar companies of that name.
- Probably one of its biggest claims to fame is that it is 'best in show' for providing $$$ figures of acquisitions. Many of these go unreported but DataFox, generally, will have this information. We have been able to verify this before with insight into prior acquisitions.
- Great User Interface - it is so easy & intuitive & new for a user to move around with, business user oriented, little time required to reach value.
- Export capability, particularly around a list companies for key phrases/specialties, is really easy to use.
- There is a significant price barrier with this product for many businesses and proving the use case/value will be a substantial difficulty for smaller departments. I do not know the exact figure nor was I the decision maker, but I was told the smallest deployment was around $10K/year.
- Improved/integrating more analytic features is possible & would greatly add value to many use cases.
- It provides a lot of high-level information on the vendor, but can expand this with RSS for news updates, better job enabling a comparison to similar competitive products, etc. It might seem like a 'well, duh' in much of the information but little things highlighting discrepancies in comparison to similar companies & where executives came from prior to their role (in a lot of these situations, they likely have the info stored but not the bandwidth/processes for that to be applied when moved to a new company).
DataFox Scorecard Summary
Feature Scorecard Summary
DataFox is designed to help sales and marketing teams prospect smarter and have thoughtful, personalized conversations at exactly the right time. The vendor says their software uses machine learning to identify new prospects and deliver actionable sales triggers from thousands of data sources, helping reps open doors to new business and elevate their customer conversations. Additionally, the vendor says companies like Box, UPS, Twilio, and InsightSquared are saving tens of thousands of hours and increasing response rates by up to 30% for their prospecting conversations using DataFox.
Subscription pricing. Please contact DataFox for additional information.
DataFox Customer Size Distribution
|Small Businesses (1-50 employees)||20%|
|Mid-Size Companies (51-500 employees)||60%|
|Enterprises (> 500 employees)||15%|
DataFox Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
DataFox Technical Details
|Mobile Application:||Apple iOS|
|Supported Languages: ||English|