B2B sales intelligence glossary
32 connected concepts spanning sales intelligence, lead generation, data enrichment, and deliverability — each defined and linked to the related ideas and products.
Core concepts
Sales Intelligence
Sales intelligence is the practice of collecting, enriching, and analyzing data about companies and buyers to inform outbound and account-based selling. It combines firmographics, contact data, and buying signals so reps know who to contact, why, and when. Unlike a static database, modern sales intelligence is continuously refreshed and source-attributed.
Lead Generation
Lead generation is the process of identifying and developing potential customers for a business. In B2B, it spans discovering target companies, finding the right decision-makers, and capturing verified contact details. A pipeline-based approach generates leads in real time from the open web rather than reselling a fixed database.
Prospect List
A prospect list is a structured set of target companies and contacts that match a defined ideal customer profile, compiled for outbound sales or marketing campaigns. High-quality lists include verified emails, decision-maker titles, source attribution, and confidence scores — distinguishing them from raw scrapes or purchased databases that decay within months.
Targeting & signals
Decision Maker
A decision-maker is the person with the authority to approve a purchase within a target account. In B2B, deals often involve a buying committee, so identifying the economic buyer plus influencers is critical. Decision-maker discovery finds these contacts by title and role rather than emailing generic inboxes.
Ideal Customer Profile (ICP)
An ideal customer profile (ICP) is a description of the company that gets the most value from your product and is most likely to buy — defined by industry, size, revenue, geography, and tech stack. The ICP focuses prospecting and enrichment so you target accounts that fit rather than spraying a broad list.
Firmographics
Firmographics are the descriptive attributes of a company — industry, employee count, revenue, location, and ownership — the B2B equivalent of demographics. They are the primary filters for building a target account list and segmenting outreach, and a core output of company enrichment.
Technographics
Technographics describe the technologies a company uses — its CRM, marketing stack, hosting, and tools. Detecting an account's tech stack enables precise targeting (e.g., companies using a rival product) and better personalization. It is a high-signal layer on top of firmographics.
Intent Data
Intent data captures signals that an account is researching or in-market for a solution — content consumption, hiring activity, technology changes, or funding events. It helps prioritize which accounts to contact now. Signal-based prioritization turns a flat list into a ranked queue of timely opportunities.
Lead Scoring
Lead scoring ranks prospects by how well they fit your ICP and how likely they are to convert, using attributes and signals to assign a score. It focuses rep time on the highest-value leads. AI lead scoring evaluates multiple dimensions — fit, data quality, and activation readiness — to prioritize outreach.
Account-Based Marketing
Account-based marketing (ABM) is a B2B strategy that treats individual target accounts as markets of one — aligning sales and marketing around a defined list of high-value companies rather than casting a wide net. Execution depends on accurate firmographics, mapped buying committees, and verified multi-threaded contact data so every touchpoint reaches the right person at the right account.
Buying Signal
A buying signal is an observable action or data point that indicates a company or contact is more likely to purchase — hiring for a relevant role, adopting a complementary technology, expanding into a new market, or engaging with competitor content. Signals enrich static firmographics with timing, letting sales teams prioritize accounts that are in-market now rather than prospecting blindly.
Data & enrichment
Data Enrichment
Data enrichment is the process of appending missing or updated attributes to existing records — company, contact, firmographic, and technographic fields. It turns a thin list of names or domains into complete, actionable profiles. Quality enrichment is source-attributed and confidence-scored so each field can be trusted and audited.
Contact Validation
Contact validation checks that a contact record is accurate and current — correct name-to-email mapping, working email, valid phone, and a real role at the company. It removes junk, duplicates, and stale entries before data reaches a CRM, keeping pipelines clean and rep trust high.
Email Pattern
An email pattern is the naming convention a company uses for employee addresses — first.last@, firstlast@, f.last@, and so on. Learning a domain's pattern enables prediction of email addresses for contacts whose published address isn't discoverable. Pattern confidence increases when multiple discovered emails confirm the same format.
Entity Resolution
Entity resolution is the process of determining whether multiple records refer to the same real-world entity — the same company, the same person, the same domain. It combines fuzzy matching, domain anchoring, and confidence scoring to merge duplicates and prevent the same lead from appearing multiple times in a CRM or campaign.
CRM Data Decay
CRM data decay is the natural degradation of contact and company records over time as people change jobs, companies rebrand, domains expire, and emails become invalid. Industry estimates suggest 20-30% of B2B data decays annually. Combating decay requires continuous re-enrichment and re-verification rather than periodic bulk purchases.
Domain Intelligence
Domain intelligence is the practice of extracting company-level signals from a domain name — DNS records, MX infrastructure, SSL certificates, WHOIS data, technology stack, email patterns, and website structure. It turns a single domain into a rich company profile without relying on a third-party database, and anchors identity resolution so records from different sources merge correctly.
Data Hygiene
Data hygiene is the ongoing practice of removing invalid records, fixing formatting errors, suppressing junk contacts, deduplicating entries, and re-verifying emails in a B2B database. Without regular hygiene, CRM records decay at 20-30% per year — causing bounces, wasted outreach, and compliance exposure. Hygiene is a prerequisite, not an afterthought, for any outbound or enrichment workflow.
Deliverability
Email Verification
Email verification is the process of confirming that an email address exists and can receive mail before you send to it. A thorough pipeline runs syntax, DNS/MX, SMTP, catch-all, disposable, and role checks plus authentication analysis, then assigns a deliverability tier. Verifying first protects sender reputation and cuts bounce rates.
Email Deliverability
Email deliverability is the ability of your messages to reach the recipient's inbox rather than the spam folder or a hard bounce. It depends on authentication (SPF/DKIM/DMARC), sender reputation, list quality, content, and engagement. Verified data and a warmed-up sending domain are the foundation of strong deliverability.
Email Warmup
Email warmup is the practice of gradually increasing sending volume from a new mailbox or domain to build a positive sender reputation with mailbox providers. A typical schedule ramps over weeks — seed, ramp, stabilize, full — while maintaining high engagement and low complaints. Warmup protects deliverability before scaling outbound.
Sender Reputation
Sender reputation is a score mailbox providers assign to a sending domain and IP based on history — bounce rates, spam complaints, engagement, and authentication. A strong reputation lands mail in the inbox; a poor one routes it to spam. It is built slowly through warmup and clean lists, and damaged quickly by sending to unverified addresses.
Bounce Rate
Bounce rate is the percentage of sent emails that fail to deliver. Hard bounces are permanent failures (invalid address); soft bounces are temporary (full mailbox). High bounce rates signal poor list quality to mailbox providers and damage sender reputation, which is why verifying addresses before sending is essential.
Catch-All Domain
A catch-all (or accept-all) domain accepts mail to any address at the domain, even ones that don't exist, so an SMTP check can't conclusively verify a specific mailbox. Catch-all addresses carry elevated bounce risk and are typically scored as a separate, lower-confidence tier rather than treated as fully valid.
Email Finder
An email finder discovers professional email addresses for people at a given company domain. Advanced finders layer multiple methods — passive OSINT, direct website crawling, multi-engine search, and browser automation — escalating through each layer only when cheaper methods fail. Addresses found are verified before delivery to prevent bounces.
SPF, DKIM & DMARC
SPF (Sender Policy Framework), DKIM (DomainKeys Identified Mail), and DMARC (Domain-based Message Authentication, Reporting & Conformance) are three DNS-based standards that authenticate outbound email. SPF specifies which servers may send for a domain, DKIM cryptographically signs messages, and DMARC tells receivers how to handle messages that fail either check. All three are prerequisites for reliable cold email delivery.
SMTP Verification
SMTP verification is the process of connecting to a mail server and issuing RCPT TO commands to check whether a specific mailbox exists and accepts mail — without actually sending a message. It catches addresses that pass syntax and DNS checks but would still bounce. SMTP results are combined with catch-all detection and reputation signals to produce a deliverability tier.
Outbound
Cold Email
Cold email is unsolicited but targeted B2B outreach to prospects who haven't engaged before, aimed at starting a conversation. Effective cold email depends on verified data, strong deliverability, relevant personalization, and compliance with regulations like CAN-SPAM and GDPR. It is a data problem as much as a copy problem.
B2B Prospecting
Prospecting is the activity of identifying and qualifying potential buyers to enter the sales pipeline. It combines building a target account list, finding decision-makers, and prioritizing by fit and intent. Modern prospecting is powered by enriched, verified data so reps spend time selling rather than researching.
Email Sequence
An email sequence is a pre-planned series of messages sent to a prospect over days or weeks, with timing, content variation, and engagement-based branching designed to earn a reply. Effective sequences combine personalized first touches, value-driven follow-ups, and safety limits (bounce thresholds, domain caps) that protect sender reputation while maximizing response rates.
Sales Engagement
Sales engagement is the layer between CRM and email infrastructure that orchestrates multi-channel outbound — sequencing emails, scheduling LinkedIn touches, logging calls, and tracking opens and replies. Effective engagement depends on clean, verified data upstream: wrong emails bounce, wrong titles get ignored, and missing context kills personalization.
Outbound Sales
Outbound sales is the practice of proactively reaching potential buyers through cold email, LinkedIn, phone, and direct mail — rather than waiting for inbound leads. It requires accurate targeting (ICP definition), verified contact data (emails, titles, LinkedIn), multi-step sequencing, and deliverability infrastructure. The quality of the underlying data directly determines whether outbound reaches decision-makers or lands in spam.