Leadspace is a software as a service (SaaS) company that finds leads in social media, contact databases and customer relationship management systems by comparing people's online presence to a vendor's unique ideal buyer profiles. Leadspace is used by inside sales teams for finding new prospects, and by marketing teams for creating targeted lists and for ranking and enriching leads gathered through marketing programs.
$25,000
per year
QuickPivot
Score 8.0 out of 10
N/A
QuickPivot, headquartered in Boston, offers their customer data platform (CDP).
N/A
Pricing
Leadspace
QuickPivot
Editions & Modules
Leadspace
$25,000.00
per year
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Leadspace
QuickPivot
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Leadspace simplifies the process of gathering, normalizing, and validating data. As it is a robust tool, it allows us to focus our efforts on creating demand. Because it is the source of truth, we use it to enrich all incoming data and organize records into scales. We would, however, appreciate having more industry-specific data. We are working on combining and unifying various industry data sets so that they can be ingested into their enrichment values.
It is less appropriate in terms of usability. As discussed in the previous points, there are some UI modifications and reporting formats required that can be improved. It is less appropriate in a situation where you need too many customizations. As big data grows, data customizations will be very important as organizations need to re-organize data. This is one area where it is not very well suited or requires improvement.
QucikPivot does a great job with machine learning of the stored data. This AI based method drives the firm to meaningful results.
It stores and makes data available both online and offline. This particularly helps in accessing data from any place. Managing resources becomes easier if data is stored online.
The Marketing campaign that can be created is led with authority, and the success ratio can actually be measured with this digital platform.
Data quality on contact level is not accurate as we would like. I noticed even the data we get from D&B is not as accurate as would like. It is understandable because people change their jobs so frequently in our industry. We received high bounce rate from our email marketing. We did the random review of our own data against their data and found some contacts' info has not been updated and is wrong.
Smartforms integration can be tricky for the first time users.
I wish they refreshed their data more frequently than quarterly.
The UI of the dashboard is not as good as the other BI tools. While the metrics dashboard is a good idea, not allowing query templates to work in the metrics dashboard makes it impossible to use it as our daily dashboard.
The e-mail shows the indicators clearly and also attaches some spreadsheets from the reports. We think it could get even better if we could also get attached a PDF version of the dashboard.
Low user customizability. Admin have to create reports and maintain the reports very thoroughly.
We chose Leadspace after evaluating several other suppliers in part because of their ability to give localized addresses for contacts, enrich with personas, and provide predictive intent data for contacts. Among other things, they've exceeded expectations in all three of these areas and more.
QuickPivot stacks very well against these tools, as it is cost effective and role-based. Other than the UI improvements, it gives a holistic picture into data analysis and marketing campaigns. It only needs deeper customizations and a few better reports. Otherwise, it would be an industry leading tool in the market.
Account Management team from Leadspace is very helpful in helping us to understand the product in detail.
Enrichment of data based on company and person helps the organisation to plan & execute better.
Can get the customized details from Leadspace team based on our needs
The feature "persona scoring" helps in defining our key target personas using job titles, job levels and technologies and now when new leads come into our database, they get scored against these personas and this drives a key part of our lead scoring model and campaign segmentation