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.
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KickFire
Score 9.0 out of 10
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KickFire’sB2B solutions provide account-level information such as industry, revenue, employee count, and more based on an IP address. KickFire’s proprietary TWIN Caching® technology and robust firmographic database deliver business intelligence for first-party intent, content personalization, account-based marketing, predictive/intent, data enrichment, and much more. KickFire offers IP address intelligence and B2B firmographic data through its LIVE Leads platform, API, and integrations…
The HG Insights Platform has helped us with GTM planning as we segment accounts amongst our verticals. There are verticals with specific tech stacks that we would like to prioritize, and HG Insights allows us to do that. The account scoring allows us to prioritize outreach efforts. We are able to use the technographics to weigh scoring and assign those accounts out accordingly.
KickFire doesn't filter the de-anonymized website visit results much for accuracy. Public IP indexes are far from perfect. Companies change their IPs all the time. Other solutions check each website visit against several indexes and only deliver de-anonymized visits to the client when they are able to reach a certain confidence level in the company identification. KickFire instead does less filtering and lets the client handle it on their own. The downside is that there are more false positives. In our experience, there were a few companies that started showing that they were visiting our site several times a day, visiting just about every page. Later we realized that the company was an ISP/VPN provider (one of the largest in the UK) and that the visitors were actually probably from a number of other companies--they were just using the VPN. Again, this is a con because it gives more work to you in the end. On the other hand, the approach that other solutions take means you miss out on significant website activity because it didn't reach a certain confidence score.
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.
They are very good at solving cases that I bring to them. I'd like to see more proactive support to make sure we are getting the full value out of the solution.
The tutorials are very good and they explain how to get started using the system. The online webinars are very good for advancing your knowledge of the product.
We have evaluated all of these vendors and some are used in tangent with the HG Insights Platform. We found that for technographic data in particular HG gave the best coverage, but a few of these do help "fill the gaps" when occasion calls. We also use multiple intent engines to help verify trends rather than being reliant on one platform. Other vendors also offer contact data as well which is integral for our outbound marketing campaigns which HG does not cover. Overall HG does perhaps stack up better than some of these however, it is only one source of data and using multiple is necessary to give a reliable result.
I covered this pretty extensively in the cons. The key differentiator here is that KickFire serves up almost all the data (or so it seems) to the end client. The client then has to do their own work on interpreting it. This is good because it means we don't miss out on any website activities, but it's bad because we get a lot of false positives. 6sense uses the confidence score approach I mentioned in the Cons section, which means the match rates of the data we get are much higher. Our experience with Clearbit comes from other tools that are built on it (Bombora, Drift, etc.), and it has not been great. We've seen many more inaccuracies with Clearbit.
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.