Discovering active purchase intent for your solutions can completely transform your Account-Based Marketing (ABM), data-driven marketing, named account, and account acquisition strategies. But knowing which individuals are researching a purchase decision at an in-market account is just the first step in harnessing the full power of the intent marketing and the intent data breakthrough.
B2B purchases are made by Buying Groups (or Demand Units) of individuals within an organization — the executives who sign off on deals rely on key influencers to research and inform their decisions. Using data-driven marketing to understand the purchase intent signals exhibited by members of these Buying Groups or Demand Units is essential to reach in-market prospects with the right message, at the right time in their organization’s complex customer journey.
You need an advanced intent marketing intelligence platform that lets you define Buying Groups/Demand Units by customer persona, then automatically identify individuals in its comprehensive B2B contact database who match these criteria across any account list or audience segment.
You need real-time, actionable intelligence on how the purchase intent of each Buying Group or Demand Unit member drives an account’s final purchase decision.
You need to prioritize these key decision-makers for sales qualification and outreach.
You need the power of InsightBase Version 4.0.
We offer three types of intent solutions: inferred intent, contact intent, and a combination of inferred and contact intent.
Inferred intent collects data based on domain and location. This information can be used as part of a digital advertising program or an ABM campaign, and can also be used to identify your Total Active Market, discover active demand, and engage active demand accounts and prospects. This data can be delivered by InsightBase 4.0 or a stream of data can be provided for either your MAP, CRM, or CDP.
Contact intent is a powerful intent solution that identifies exactly who is in-market and includes a full contact record of the person if needed, including their role in a Buying Group. Since your campaign is persona-centric, InsightBase Version 4.0 can focus on members of a buying group who appear to be missing and fill in those gaps, and key personas who have shown intent move from target to active.
Contact intent can be used by sales and marketing, both to call and qualify individuals and as part of a strategy that includes:
InsightBase Version 4.0’s exclusive Multi-Relevance Engine™ uses natural language processing, machine learning, and artificial intelligence to gather and analyze millions of intent signals each day for your data-driven marketing efforts. Our proprietary contact-level intent data identifies purchase intent for all types of B2B decision-makers – from tactical managers to the C-Suite – who will impact the final purchase decision.
InsightBase Version 4.0 looks for spikes in purchase research activity from individuals within Buying Groups and Demand Units who are actively researching your product or solution. This intent signal data is then tied together with verified contact information and firmographic data. All this is accessible with your easy-to-view Visual Dashboard & Reporting displays.
Give your sales and marketing teams one of the most powerful B2B content generation solutions available: the new and improved account acceleration platform, InsightBase Version 4.0.
Our proprietary intent data stream includes signals relevant to B2B industries, targeting decision-makers and Buying Groups to fill all stages of your funnel.
Monitor your existing accounts, new prospects, Buying Groups, and demand units for spikes in activity that indicate they are in-market
Integrate seamlessly with your existing digital marketing platforms to empower your technology stack.
Accesses and measures millions of B2B intent data points across the global web each day.
Identifies individuals, buying groups and demand units who are actively researching your solutions.
InsightBase Version 4.0’s powerful intent SaaS tool helps your team design and execute data-driven marketing campaigns in just minutes. The intent signal intelligence provided by InsightBase Version 4.0 can elevate every aspect of your ROI and strategy.
InsightBase’s reporting tools let you track intent signal trends for the account, individual contact, and Buying Groups — all within the same intuitive dashboard.
Get the clearest possible picture of your Total Active Market. Reports quickly update as you apply new topical and persona filters.
Monitor the activity level of your ongoing intent marketing campaigns. Relevance Engine’s advanced analytics even project the number of high quality TripleCheck® contact records InsightBase 4.0 will deliver based on the criteria and timeframe you define.
The dashboard summary groups contacts by demand unit, illuminating firmographic data including, company name, title, role, industry, revenue, and number of employees along with spiking topics. All contact information is easy to see including email, telephone number, and location.
InsightBase Version 4.0 integrates with Salesforce, Marketo, Eloqua and Hubspot with a single handshake – your team can be up and running in about an hour. Open APIs and data export allow for custom integrations with any marketing automation, CRM or business intelligence platform.
All intent data gathered by our network of providers is scrubbed for false positives, bot activity and other noise. We ensure that InsightBase Version 4.0’s market intelligence analysis is based on intent signals of uncompromising accuracy.
There are three components that make up our TripleCheck® verification process.
First, we use proprietary algorithms to screen out inaccurate records, so only real, active B2B contact records get delivered to you. Second, our team tele-verifies the business contact information as required, including phone numbers, for complete and up-to-date accuracy. Third, our contact records are 100% guaranteed. Any out-of-target contacts are replaced, no questions asked.
InsightBase’s Relevance Engine uses advanced multivariable analytics, machine learning, artificial intelligence, and regression analysis to analyze search behaviors and page content to identify relevant signals. Natural Language Processing provides for Google-like topic searching.