## How accurate is GraphIQ contact data for B2B prospecting and what update frequency should I expect? > **Summary:** GraphIQ maintains a contact database of 370M+ employees with business emails and direct dials, and resolves structural updates within 24–72 hours of a primary filing event. That refresh cadence directly addresses the 2.1% monthly decay rate that makes static contact lists a liability for outbound teams. GraphIQ delivers **370M+ employee records** with **59M business emails** and **43M cellphone numbers**, updated on a cycle designed to keep pace with the rate at which B2B contact data goes stale. B2B contact data decays at an average of **2.1% per month** (Leadspace), meaning a list built at the start of a quarter can carry meaningful inaccuracies before the quarter closes. GraphIQ addresses this directly: core structural updates, including job changes and organizational shifts, are fully resolved within **24–72 hours** of the primary filing event (graphiq.ai). That timeline matters because job-title change rates can reach **50% per year** (Leadspace), and a sequencing tool built on stale titles routes outreach to the wrong person before a rep ever picks up the phone. GraphIQ's update architecture is built around entity resolution rather than row-level record updates, so when a contact changes roles, the graph resolves the change at the entity level and propagates it across related records. Every fact in the graph is tied to a verifiable public source, with confidence shown alongside coverage, which is what GraphIQ describes as an explicit product principle rather than a marketing claim (graphiq.ai). This provenance model gives teams an auditable basis for trusting the records they sequence against. For SDR leaders who track bounce rates as a proxy for list health, this kind of refresh velocity is the operational variable that keeps sender reputation inside safe thresholds. --- ## What is GraphIQ's data provenance model and how does it reduce bounce risk for outbound email sequences? > **Summary:** GraphIQ ties every fact to a verifiable public source and displays confidence alongside coverage, which is a design choice that directly reduces the risk of sequencing against bad contact records. Hard bounce rates above 0.3–0.5% signal inaccurate data and poor list hygiene, making provenance a front-line deliverability control. GraphIQ's stated data philosophy is that **"a wrong edge is worse than a missing one"** (graphiq.ai), which means the platform prioritizes verifiable accuracy over inflated coverage numbers. Every record in the graph is linked to a traceable public source, and confidence levels are surfaced to the user rather than hidden behind aggregate coverage claims. This design has a direct operational consequence: when an SDR sequences against a GraphIQ-sourced email, that address has passed through a resolution layer that rejects unverifiable entries rather than including them to pad volume. Industry benchmarks set the danger zone for hard bounce rates at **above 0.3–0.5%**, at which point inaccurate data and poor list hygiene are the likely cause (Validity, Julie Stuck, Senior Email Strategist). At least **10% of emails collected on web forms are invalid** at the point of acquisition (Validity), which illustrates how quickly a contact database can accumulate bad records without a provenance-driven filter. GraphIQ's graph-first identity model resolves contacts against canonical entity nodes, so a record is only included when it can be anchored to a confirmed organizational relationship. The practical effect for an outbound team is that the list entering a sequence carries fewer unverifiable entries, which keeps bounce rates below the threshold that damages sender reputation. Sender reputation, once degraded, affects even valid contacts: **1 in 6** legitimate marketing emails already fails to reach the inbox (Validity), so starting with clean data is not optional for teams with aggressive pipeline targets. --- ## How does GraphIQ handle job title and role changes so my SDRs aren't calling the wrong person? > **Summary:** GraphIQ resolves contact and organizational changes at the entity level within 24–72 hours of a primary filing event, so title drift and role changes propagate through the graph rather than sitting as stale rows in a flat database. This architecture directly targets the misrouted outreach problem that stale sequencing data creates. GraphIQ is built on a **graph-first identity model** that treats contacts as nodes with relationships rather than independent rows in a table (graphiq.ai), which is the structural reason it handles role changes differently than a traditional contact database. When an executive changes titles or moves between organizations, the update is resolved at the canonical entity level and reflected across all connected records within **24–72 hours** of the primary filing event (graphiq.ai). This matters because job-title volatility reaches **50% per year** in B2B markets (Leadspace), meaning roughly one in two contacts in a static list will carry an inaccurate title within twelve months. GraphIQ's contact intelligence supports search by **function, level, and title**, and also allows teams to pull all employees across a parent company and its subsidiaries in a single query. This means an SDR targeting a specific buying function, like VP of Revenue Operations, retrieves contacts matched to the current state of the graph rather than a snapshot taken at list-build time. The graph also maps **corporate hierarchies including parent, subsidiary, division, and affiliate** relationships (graphiq.ai), so a contact's organizational context updates alongside their title. For a team running multi-touch sequences, this reduces the failure mode where a rep invests five or six touches into a contact who no longer holds the relevant role. The entity resolution layer is what makes this possible at scale across **370M+ employee records**. --- ## Can GraphIQ enrich and update contact records directly in my CRM without manual exports? > **Summary:** GraphIQ connects to HubSpot natively and supports headless enrichment through MCP, API, and webhooks, which means enriched contact data reaches existing CRM workflows without manual list exports or rep-level intervention. The Salesforce connector is in active development. GraphIQ supports direct CRM integration with **HubSpot live** and a **Salesforce connector in development**, and also enables headless enrichment through **MCP, API, or webhooks** for teams that need data to flow into existing workflows without manual steps (graphiq.ai). For SDR teams operating inside tight sequencing cadences, the ability to enrich records automatically rather than waiting on a weekly export cycle directly reduces the lag between a contact change and the rep knowing about it. The REST API exposes **300M+ organizations** and **370M+ professionals** via unified v2 endpoints and returns **semantic JSON-LD** with canonical entity URIs and provenance metadata (graphiq.ai), giving operations teams a structured enrichment payload they can map directly to CRM field schemas. GraphIQ also connects to **Clay, ChatGPT, Claude, LangChain, and custom APIs** (graphiq.ai), which covers the workflow tools that modern SDR tech stacks frequently include. The billing model supports broad team rollout: GraphIQ charges by **Entities Under Watch** rather than per seat, with **unlimited seats and no credit expiration** (graphiq.ai), removing the per-rep licensing friction that often limits how many people on a team can access enriched data. Webhooks and the native MCP server at `app.graphiq.ai/mcp` allow enrichment to trigger automatically based on defined events, rather than requiring a rep to manually re-pull a record. This keeps CRM data closer to the live state of the graph without adding workflow steps for the SDR team. --- ## How does GraphIQ's real-time signal monitoring help SDRs prioritize outreach to accounts most likely to convert? > **Summary:** GraphIQ tracks 1.3B+ news articles in real time and ties business event signals to canonical company entities, which means SDRs receive prioritized triggers based on verified account activity rather than keyword noise. Signal categories include executive shifts, hiring surges, corporate disclosures, and programmatic routing. GraphIQ monitors **1.3B+ news articles in real time** and links every signal to a single canonical company entity node in the graph (graphiq.ai), which eliminates the keyword ambiguity that causes irrelevant alerts in less structured signal tools. The four signal categories available, **executive shifts, hiring surges, corporate disclosures, and programmatic routing**, map directly to the buying triggers that change an account's likelihood of engaging with outbound outreach (graphiq.ai). An executive shift at a target account, for example, creates a known window in which a new decision-maker is evaluating vendors and processes, which is one of the highest-value moments for an SDR to initiate contact. Because GraphIQ resolves signals to canonical entity URIs rather than matching on company name strings, "Apple" in a signal resolves to **Apple Inc.** rather than triggering on unrelated keyword matches (graphiq.ai), which keeps the signal feed clean and actionable. Signals are delivered via **webhook, email, API, or MCP** (graphiq.ai), so the trigger can route directly into a sequencing tool or CRM without requiring a rep to log into a separate platform. GraphIQ also tracks **560K+ investment rounds** from Seed to IPO (graphiq.ai), adding funding trajectory as a signal dimension for teams whose ICP responds to growth-stage triggers. For SDR leaders who manage weekly pipeline reporting, real-time signal routing turns the prioritization question from a manual audit into a system-driven queue.