Explorium's Data Insights Blog
Where data, marketing, and sales professionals come together
What Is Intent Data for AI Agents? A Buyer’s Guide
Intent data for AI agents is buying signal data delivered through APIs and webhooks so an agent can act the moment a signal fires, instead of waiting for a human to read a dashboard. Intent data for AI agents became its own buying category because signal value decays fast: the Lead Response Management study of […]
Conversational Onboarding Agent: The PLG Activation Lever in 2026
B2B SaaS activation is broken. Median trial-to-activation rate: 36-38%. Multi-step product tour completion: 5%. Median time-to-value: 1 day 12 hours (Perspective AI 2026 benchmark). Traditional tour-based onboarding has hit a ceiling — users click through fixed steps that do not adapt to what they are actually trying to accomplish. A conversational onboarding agent breaks through […]
Conversational Onboarding: How Enrichment Makes It Personal
Personalization in conversational onboarding is a spectrum. At the low end: “Hi [First Name], welcome!” At the high end: “As a RevOps leader at a Series B FinTech, you probably want to connect your Salesforce first.” The second message requires knowing the user’s company, industry, role, tech stack, and funding stage before the conversation starts. […]
Revenue Leak in GTM: The 4 Data Quality Gaps That Cost the Most
Four of the 7 GTM revenue leaks identified in the Artemis GTM 127-audit benchmark have the same root cause: the data a rep uses to take action is wrong, incomplete, or stale before any action is taken. Slow lead response, weak ICP targeting, leaky SDR-to-AE handoff, and thin nurture are not execution problems — they […]
Revenue Leak Detection: 7 GTM Leaks Costing $1.6M/Year
The median B2B SaaS company loses $1.6M in revenue annually to GTM inefficiencies — not product failures, not churn, not pricing. GTM leaks. Artemis GTM’s 127-company audit found that 23% of potential pipeline evaporates before it can be closed, and more than half of that loss traces to data quality problems upstream of any sales […]
How AI Agents Find Companies by Event or Intent: An Explorium API Guide
Intent data for AI agents is only as useful as the query language wrapped around it. An agent asked to find every US company actively researching data enrichment that also just expanded its sales team needs intent data for AI agents exposed as filter parameters, not as a weekly CSV drop it has to parse […]
Event-Driven AI Agents: Explorium Webhooks Setup Guide
A B2B events webhook turns company news into an HTTP POST that lands on your agent’s endpoint the moment Explorium detects it. Instead of an agent polling for changes on a schedule, the B2B events webhook makes the event itself the trigger that wakes the agent: a funding round is announced at 9:04, your handler […]
How to Get Past AI Call Screeners in B2B Outbound (2026)
Get past AI call screeners in B2B outbound: verified direct dials lift connect rates from 8-12% to 18-22%, plus the message format screeners forward.
LinkedIn Connection Acceptance Rates: What to Expect in 2026
LinkedIn connection acceptance rates average 28.5% in 2026, but cold lists land at 10-20%. Get segment benchmarks and the list fix that moves them.
How to Build a Cold Outbound Stack on a Small Budget
Build a cold outbound stack for a small B2B team for $90-180 a month: 4 tool categories, a free data and enrichment layer, and a verified cost table.
Marketing to Agents: A B2B Playbook
Marketing to agents is the practice of making your company legible, verifiable, and selectable by the AI agents that now participate in B2B buying decisions. The phrase inverts what most of the market means by it: this is not about agents doing your marketing, it is about agents being your audience. Gartner projects that 90% […]
Uncaptured Intent: The Pipeline You Never Saw
Uncaptured intent is the buying interest that existed at your target accounts but never registered in any system you own. A director compares your pricing page against two competitors, a founder asks an AI assistant to shortlist vendors, an ops lead reads your docs for twenty minutes, and none of it produces a record, because […]
What Is a Company OS? A GTM Team’s Guide
A Company OS is a git repository of markdown context, skills, and guardrails that AI agents read at the start of every working session. The Company OS pattern spread through GTM faster than any other function: between April and August 2026, more than 10 practitioners publicly documented moving their entire operating context, SOPs, ICP definitions, […]
What Is an AI-Native Services Company? A GTM Guide
AI-native services companies sell the finished work, not the software that produces it. The AI-native services category hardened in 2026: Y Combinator added AI-native service companies to its Summer 2026 Requests for Startups, Sequoia published its Services: The New Software thesis, and Forbes profiled agencies selling outcomes into labor budgets an order of magnitude larger […]
What Is a GTM Brain? A Revenue Team Guide
A GTM brain is the governed context and memory layer that a revenue team shares with its AI agents: one source of truth for what you sell, who you serve, what proof backs each claim, and what has already happened with every account. The term GTM brain is new, and the race to define it […]
How to Find Unsaturated B2B Verticals (3-Axis Screen)
Score B2B verticals on vendor density, addressability, and problem density before building a list. Saturated segments reply at just 1% to 2.5%.
How to Write ICP Rules Your GTM Agent Can Follow
Write ICP rules your GTM agent can execute: thresholds, exclusions, tiers, live data. Test each rule on 5 records for zero credits before export.
How to Build a B2B Outbound Follow-Up Sequence (2026)
Build a B2B outbound follow-up sequence of 4 to 6 touches where step 3 books 35.6% of meetings. Give every send a dated trigger for 1 credit.