Through two decades of campaigns delivery and optimization, Expandi has created the most comprehensive B2B GDPR-compliant European database of companies and insights.
Our data base includes firmographic, Technographic, financial information, purchase intent data and IP mapping data covering all sectors from SMB to Enterprise Accounts.
All information is verified and updated in real-time so you can select and target the best accounts boosting the performance of your marketing and sales initiatives.
Company Firmographic & DMU Profiling Data covering all EMEA companies and Key Decision Maker profiles updated and verified in real-time against Chamber of Commerce Records
Intent data collected from millions of omni-channel interactions and tagged with multiple scoring per Brand and Solution to identify accounts in the customer journey at the right time
Technographic and Brand data: including Installed base, preferred Brands and Band consideration for specific competitive campaigns
Financial Data: including revenue, profitability, growth and credit rating to identify the most suitable accounts to target
IP Tracking and mapping data: including companies digital addresses (IP Addresses, User IDs, Device IDs) to identify unknown online traffic and deliver targeted digital advertising campaigns and Account Based Marketing strategies
Providing a wider, more informed view on prospects’ readiness to buy, Expandi differs from a typical Intent Data Provider by collecting and analyzing data and signals from all media channels (more than 2 million web sites), providing the only database presently covering 100% of SMB, Midmarket and Enterprise accounts (matched with local Chambers of Commerce records).
Delivering a deeper outlook on account and Decision Makers readiness to buy, Expandi mixes intent data at the account level (top down) with individual level (bottom up) intent data, creating the only database which integrates firmographics with IP addresses as well as intent, brand, and financial data.
The only way to collect signals across the entire funnel (top-medium-bottom) is via Expandi’s omni-channel approach, taking in emailing, phone interactions, on-line events, and social or paid media etc, rather than solely tracking paid-media channels like your typical Intent Data Provider.
Our database integrates firmographics, technographics, financial data, intent data and digital presence (IP addresses, web site, LinkedIn profile, etc.) allowing a holistic approach on each account.
To ensure you accurately identify purchase decisions, Expandi delivers the only database enabling an immediate action once an Account is detected as ready for engagement, via a large data base of decision makers’ contact details, including direct phone numbers, emails, and LinkedIn profiles (as well as IP addresses related to Decision Making Units if targeted advertising is considered relevant).
Empowering precise targeting, Expandi can share with you the only database accurately identifying and detailing Decision Making Units not only based on firmographics (ie parent companies or headquarters) but also taking into account their actual participation in the purchase decision.
Intent data providers predominantly work via a subscription that has no correlation to the volume of data they grant access to. Expandi offers you flexible and outcome-based pricing: you can either request one-off data sets or subscribe to our “as a service” platform. In both cases, you pay “as you go” correlated to the intent data provided that’s fully “on target”, based on your briefing.
We make our unique data and insights available to any of our clients, regardless of their size and budget. So now not only big IT brands but also business partners and MSPs can benefit from our insights starting from 5,000€, which is much lower than other intent data providers.
The validating of potential purchasers’ "readiness" is based on actual correlation between "signals", "actions" and “results” that only Expandi can track via our ABM Platform and campaign executions for our clients. In contrast, Intent Data Providers typically either use predictive models on a theoretical basis (ie not validated by actual results), or don’t even use them at all.