Explorium's Data Insights Blog
Where data, marketing, and sales professionals come together
GTM Engineer Salary and Scope: 2026 Benchmarks
GTM engineer salary in 2026 spans $150,000 to $405,000. See the named-req comp bands, the two-role scope split, and a pasteable JD checklist.
How to Prioritize B2B Leads With Signal Data in 2026
Prioritize B2B leads with buying-signal data, not bigger lists. Intent-sourced leads convert 3.4x higher. One Explorium API scores both layers.
How to Spot At-Risk Accounts With External Data
Spot at-risk accounts with external data: match your book to company IDs, then poll 18 signal categories. A champion exit means 51% churn risk in a year.
B2B Meeting No Show Rate: How to Cut It in 2026
The median B2B meeting no show rate is 13.5% and reminders cut only 28%. Use the diagnostic that splits logistics from qualification failures.
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%.
Email Enrichment Benchmark 2026: 8 APIs Ranked
Email enrichment benchmark 2026: 8 APIs ranked by cost per verified match. Single-source APIs cap near 85%; waterfall APIs clear 95%. Full index.
10 Claude Connectors Changing How GTM Teams Work- August 2026
Claude’s connector ecosystem keeps expanding. Anthropic’s directory now lists over 300 third-party connectors used by millions of people every day, spanning revenue tools, creative software, developer platforms, and everyday consumer apps. Connectors work across Claude, Claude Desktop, Claude Code, Cowork, and the API, and once connected, Claude can bring a tool into a conversation on […]
Which GTM AI Agent to Deploy First: Payback Checklist 2026
Deploy GTM AI agents in the right order. SDR agents pay back in 3.4 months, but enrichment must come first: it feeds every other agent 97.8% accurate data.
How to Fix AI Voice Agents That Fail at Cold Calling
AI voice agents fail at B2B cold calling by dialing without account context. Fix it with a pre-call briefing built on 97.8%+ match accuracy enrichment.
GTM Decision Systems for AI Agents: Complete 2026 Checklist
Build a GTM decision system for AI agents with 5 checklist artifacts. Explorium API scores 1,000 accounts per call at 100 QPS. Start free today.
One API vs Multiple Data Vendors: GTM Agents in 2026
One API vs multiple data vendors for GTM agents: routers add 40+ schemas, one MCP layer scales to 1,000 entities per call at 97.8%+ accuracy.
AgentSource v2 is Here
AgentSource v2 is now available in beta: async jobs up to 10,000 records, AI-powered research, a contact waterfall for better coverage, and one unified API.
AI Grounding for GTM: A Guide for Revenue Teams
AI grounding for GTM means a sales or marketing agent traces every claim it produces back to a retrieved record, so “this account expanded headcount last quarter” is a lookup, not a guess. The term lived in ML papers about retrieval-augmented generation until August 2026, when Salesforce and Anthropic gave the industry a live example […]
Why Your AI Sales Agent Invents Facts About Prospects
Prospect data hallucination is what happens when an AI sales agent states a fact about a company or a person that is not true: a funding round that never closed, an executive who left the company a year ago, an integration the vendor never built. It reads as confident, specific, and wrong, and the prospect […]
Signal Enrichment vs Firmographic Enrichment: One Vendor or Two?
The two-layer pitch sells firmographic enrichment as the static foundation and signal enrichment as a separate real-time layer on top, usually from a second vendor. Fit, timing, and contact are three different questions, and no single static provider answers all three without a second data source. The hidden costs are real: identity mismatch between two […]
Is Your CRM Ready for AI Agents? A Readiness Scorecard
CRM data readiness for agents comes down to four pass or fail checks a RevOps lead can run in an afternoon, not a governance program that takes a quarter. Most CRMs fail the first check before anyone opens a second tab: too many duplicate accounts, contacts who changed jobs years ago, fields true once and […]
Trigger Event Data for AI Agents: A Buyer’s Guide
Trigger event data for AI agents is a discrete, timestamped, verifiable business change, a funding round, a new office, a sales hiring spike, that creates a buying window static firmographics can never signal on their own. A company’s size and industry rarely change quarter to quarter; a funding round happens once and moves the clock. […]
Compliant B2B Data for AI Agents: A Procurement Checklist
Compliant B2B data for AI agents is a different problem than compliant B2B data for a human SDR. When a person pulls a list, someone reviewed the source, however loosely, before anyone hit send. When an agent enriches, filters, and drafts outreach against CRM records at machine speed, the question is no longer whether the […]