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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Precisely Spectrum Spatial Insights
Score 8.0 out of 10
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Spectrum Spatial Insights by Precisely (based on the former GeoInsight by Pitney Bowes) helps users to test strategies, taking into consideration key market and competitive drivers. Detailed forecasts and financial impact assessments can be created for every scenario, to provide an actionable, defensible plan of action. Ultimately, this enables users to know a projected Internal Rate of Return (IRR) before making capital decisions.
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.
As previously mentioned, as long as the web platform works, the software is quite useful. However in places or areas where the platform operates with low standards (poor reception signal), the versatility and usefulness of the program decreases considerably. This type of problem in developed countries probably does not occur, or if it occurs it does very infrequently. But in non-developed countries, the frequency of occurrence can be a factor to take into consideration when choosing an program based exclusively on a web platform.
It allows us to visualize data with extreme ease, through maps and graphs, patterns and tendencies.
This visualization allows, in turn, to make decisions more quickly and with a greater amount of information than what a good part of software of the same nature allows.
Being a web-based platform can, in some cases, be counterproductive, especially in areas where internet and satellite coverage are of low quality or are not available, such as jungle areas.
The results obtained, in most cases, need to be interpolated, in order to completely characterize the study area.
The interpolation functions are those that are typically used in commercial software used in this area of study, and have the same limitations. When using it I have not found any novelty regarding this.
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.
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.
In comparing GeoInsight to other products, I will not be of much help since this software is, as far as I know, almost exclusively used in activities related to the financial world, rather than geographical. That is why it is usually included in software of the AML (Anti-Money-Laundering) type. My interest in the program was to see its capacity for data storage and practical utility to facilitate decisions, compared to other software but more linked to geographic information (GIS software).
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.
The use of the software allowed the minimization of activities associated with logistical support to field staff. That reduced the time associated with these activities by about 15% of the initially estimated time.
The aforementioned reduction translated into decreases in expenditures in the order of $ 2000 / day.
