Glossary of Terms
Intent data - Information that shows when someone is actively researching or showing interest in a product or service—often before they directly contact a company.
It helps businesses know who is likely to buy, based on online behaviors like:
Reading specific articles
Searching for certain keywords
Visiting competitor or product pages
In short, intent data tells you who’s “in the market” right now, so you can reach them at the perfect time. Behavioral signals show what topics a person or company is actively researching online. This includes actions like reading articles, searching keywords, downloading content, or comparing software—all of which indicate potential buying intent.
Example: If someone at a company is reading multiple articles about “email automation tools,” that company is showing buying intent for that solution.
AI Outreach - The use of artificial intelligence to automatically send personalized messages—via email, social media, or ads—to prospects based on their behavior and profile. AI outreach ensures the right message is sent at the right time, without manual effort.
Lead Scoring - A system that ranks leads based on how likely they are to convert. EnginuityAI uses behavior, engagement, and firmographic data to assign scores to each lead, helping sales teams prioritize their outreach.
Multi-Touch Funnel - A marketing strategy that engages leads through several channels (e.g., email, ads, social messages) over time. Instead of relying on one touchpoint, EnginuityAI builds awareness, trust, and conversion momentum through multiple interactions.
CRM (Customer Relationship Management) - Software platforms like Salesforce, HubSpot, or Zoho that help companies manage their sales pipeline and customer interactions. EnginuityAI integrates directly with your CRM to push leads and activity data in real time.
Outbound Marketing - Marketing that proactively reaches out to potential customers (cold emails, social outreach, paid ads), instead of waiting for them to find you. EnginuityAI automates outbound marketing using smart targeting and AI sequencing.
Top-of-Funnel (ToFu) - The early stage of the buyer’s journey, when prospects are just becoming aware of a problem or solution. EnginuityAI specializes in capturing and nurturing ToFu leads—especially those not yet on your radar.
Behavioral Signals - Digital actions that users take—like visiting certain web pages, clicking ads, or searching specific terms—that indicate interest or intent. These signals fuel EnginuityAI’s targeting logic.
Plug-and-Play Integration - A setup process that doesn’t require developers or manual coding. EnginuityAI connects to your tech stack (CRM, email, ad platforms) in minutes, so you can start generating leads without IT support.
Account-Based Marketing (ABM) - A targeted strategy where marketing and sales teams focus outreach on specific high-value companies (accounts) instead of individual leads. EnginuityAI helps automate Account-Based Marketing (ABM) by identifying in-market companies that show buyer intent.
Audience Segmentation - The process of dividing a broad market into smaller groups based on shared traits like industry, job role, behavior, or engagement. Segmentation enables more personalized outreach.
Cold Outreach - Initial contact made with prospects who haven’t interacted with your business before. EnginuityAI enhances cold outreach by using intent data and AI to warm up leads before contact.
Conversion Rate - The percentage of leads that take a desired action, like booking a call or requesting a demo. Higher conversion rates indicate more effective targeting and messaging.
Data Enrichment - The process of enhancing raw lead data (like an email address) with additional details—such as company size, industry, or role—to improve targeting and personalization.
Drip Campaign - A series of pre-scheduled emails or messages sent over time to nurture leads. EnginuityAI can trigger these sequences based on behavior and engagement patterns.
Email Sequencing - A structured flow of multiple emails sent over a period to guide leads toward a conversion. EnginuityAI automates and optimizes sequences based on recipient engagement.
ICP (Ideal Customer Profile) - A detailed description of the type of company or buyer that would benefit most from your product or service. EnginuityAI uses your ICP to filter intent signals and outreach targets.
Lead Qualification - The process of evaluating if a lead is a good fit based on factors like intent, budget, authority, need, and timeline (often called BANT). AI lead scoring is a key tool in this process.
Lookalike Audience - A group of new prospects who share characteristics with your best existing customers. Platforms like Meta and Google Ads use lookalike data for targeting; EnginuityAI helps identify these audiences using AI.
Marketing Automation - The use of software to execute, manage, and track marketing tasks and campaigns automatically. EnginuityAI automates everything from outreach to lead nurturing to optimization.
Retargeting - Serving ads to people who have previously interacted with your brand, website, or content. EnginuityAI uses behavioral signals to automate retargeting for higher conversion.
Sales Funnel - The journey a prospect takes from first contact to becoming a customer. EnginuityAI optimizes top- and mid-funnel stages using AI and real-time data to guide prospects toward conversion.
Signal-Based Marketing - A proactive strategy that uses behavioral signals and data to engage prospects based on what they’re doing in real time—rather than waiting for them to show up on your site.
Trigger Events - Specific actions or conditions—like visiting a competitor’s pricing page or downloading a whitepaper—that “trigger” EnginuityAI to begin outreach or ad targeting.