Leadspace connector
Automate B2B Data Enrichment and Lead Scoring with Leadspace Integrations
Connect Leadspace to your CRM, MAP, and sales tools to keep customer data accurate, enriched, and actionable in real time.
What can you do with the Leadspace connector?
Leadspace is a B2B Customer Data Platform that enriches leads, contacts, and accounts with firmographic, technographic, and intent data from hundreds of sources. Once Leadspace is wired into your revenue stack, your sales and marketing teams always work from complete, scored, and segmented data — no manual lookups, no batch uploads. With tray.ai, you can trigger Leadspace enrichment automatically across any workflow, pushing clean data where it needs to go the moment a new lead or account enters your system.
Automate & integrate Leadspace
Automating Leadspace business process or integrating Leadspace data is made easy with tray.ai
Use case
Real-Time Lead Enrichment on CRM Entry
When a new lead or contact is created in Salesforce or HubSpot, tray.ai automatically fires a Leadspace enrichment call to append firmographic data, buying signals, and fit scores before the record even reaches a sales rep. Reps skip the manual research and go straight to a fully populated record on the first touch. Enriched data flows back into the CRM fields you define, keeping your instance clean and standardized.
Use case
Automated Lead Scoring and Routing
Use Leadspace fit scores and intent signals to build routing logic in tray.ai — directing high-priority leads to senior AEs, mid-tier leads to SDRs, and low-fit records to nurture tracks automatically. Routing rules can factor in Leadspace's audience segments, technographic data, or intent spikes to get the right rep in front of the right prospect at the right time. Subjective routing decisions disappear, and response time on high-value opportunities drops.
Use case
Account-Level Data Sync Across Marketing Automation
Keep Marketo, Pardot, or Eloqua account and lead records in sync with Leadspace's enriched company profiles so every campaign segment reflects current headcount, revenue range, and technology stack data. When Leadspace updates a company record due to funding, acquisition, or growth signals, those changes propagate to your MAP automatically via tray.ai workflows. Marketing teams can then trigger dynamic campaigns based on live firmographic signals without waiting for weekly data refreshes.
Use case
Inbound Form Fill Enrichment and Qualification
When a prospect submits a web form, tray.ai immediately sends that partial contact record to Leadspace for enrichment, returning a full company profile, fit score, and intent indicators before the lead is written to your CRM or MAP. A name and email becomes a rich record without asking prospects to fill out a lengthy form. Qualified leads get fast-tracked to sales while low-fit submissions route to self-service or nurture automatically.
Use case
Account-Based Marketing List Building and Refresh
Build dynamic ABM target lists by querying Leadspace for accounts that match your Ideal Customer Profile and automatically syncing those lists into your advertising platforms, sales engagement tools, and CRM. tray.ai can schedule periodic refreshes so your ABM lists always reflect Leadspace's latest signals — new accounts entering your ICP, existing accounts showing increased intent. Your ABM program runs on live data rather than stale static lists.
Use case
Data Hygiene and CRM Deduplication Workflows
Periodically scan existing CRM accounts and contacts against Leadspace to identify outdated fields, duplicate records, or contacts that have changed roles or companies. tray.ai workflows can flag records needing review, auto-update stale firmographic fields, or merge duplicate accounts based on Leadspace's authoritative company identifiers. Staying on top of data hygiene means fewer deals lost to reps working from outdated information.
Use case
AI Agent Enrichment for Prospecting Assistants
Give AI sales agents and prospecting assistants access to live Leadspace data so they can surface firmographic and intent signals during rep interactions, prioritize outreach queues, and generate personalized messaging grounded in real account intelligence. tray.ai's agent-building capabilities let you connect Leadspace as a data action within an AI workflow, so agents can look up account fit scores or intent flags on demand. The result is sharper, more context-aware prospecting without any manual lookups.
Build Leadspace Agents
Give agents secure and governed access to Leadspace through Agent Builder and Agent Gateway for MCP.
Agent Tool
Enrich Contact Records
Pull firmographic, demographic, and technographic data from Leadspace's B2B data graph to fill gaps in contact records. Missing fields like job title, company size, and technology stack get filled in automatically, so your CRM data stays accurate without anyone doing it by hand.
Agent Tool
Enrich Account Records
Submit company accounts to Leadspace and get detailed firmographic attributes back — industry, revenue, employee count, intent signals. Account profiles stay current without manual research.
Agent Tool
Score Leads
Run incoming prospects against Leadspace's predictive models to assess fit and intent. High-scoring leads get routed to sales reps automatically, so your outreach queue is already prioritized before anyone looks at it.
Data Source
Look Up Contact Details
Query Leadspace for enriched attributes on a specific contact — seniority, department, social profiles. An agent can use that context when personalizing outreach or qualifying leads further down the workflow.
Data Source
Look Up Account Intelligence
Fetch account-level data from Leadspace including technographics, buying signals, and firmographics. An agent can use this to tailor messaging or make smarter account-based marketing decisions.
Data Source
Retrieve Audience Segments
Pull audience segments and ICP data from Leadspace to see which accounts or contacts match your target personas. An agent can then filter and prioritize those records across other systems.
Agent Tool
Match and Deduplicate Records
Submit records to Leadspace's identity resolution engine to match and deduplicate contacts or accounts across data sources. Useful for cleaning up records before anything gets synced to a CRM or marketing platform.
Data Source
Fetch Intent Signals
Pull buyer intent signals from Leadspace to see which accounts are actively researching relevant topics or solutions. An agent can surface those signals to trigger sales or marketing actions while the interest is still fresh.
Agent Tool
Validate and Normalize Data
Send raw contact or company data to Leadspace for validation and normalization against its B2B data graph. An agent can scrub incoming data from forms, imports, or third-party sources before it touches your core systems.
Data Source
Identify ICP Fit for New Leads
Query Leadspace to see how closely a new lead or account matches your configured ideal customer profile. ICP fit scores let an agent automatically qualify or disqualify inbound leads in real time.
Get started with our Leadspace connector today
If you would like to get started with the tray.ai Leadspace connector today then speak to one of our team.
Leadspace Challenges
What challenges are there when working with Leadspace and how will using Tray.ai help?
Challenge
Keeping Enrichment in Sync Across Multiple Systems of Record
Most teams run Leadspace enrichment manually or in batch uploads, so CRM and MAP records fall out of sync with each other and with Leadspace's continuously updated data. When the same contact lives in Salesforce, HubSpot, and Marketo, applying enriched data consistently across all three without duplicating API calls or creating conflicting field values becomes a real operational headache.
How Tray.ai Can Help:
tray.ai workflows can orchestrate a single Leadspace enrichment call and fan out the results to multiple downstream systems simultaneously, applying field mapping rules specific to each platform. Redundant API calls disappear, and data propagates consistently across your entire stack through one governed workflow.
Challenge
Handling API Rate Limits During High-Volume Lead Ingestion
After a webinar, trade show, or paid campaign launch, hundreds or thousands of leads can flood in at once. Firing a Leadspace enrichment call for each one naively will exhaust API rate limits fast, causing workflow failures or dropped enrichments.
How Tray.ai Can Help:
tray.ai has built-in rate limiting, queue management, and retry logic, so high volumes of enrichment requests process at a controlled pace without data loss. Leads that can't be enriched immediately get queued and processed as capacity opens up — no record gets skipped regardless of volume spikes.
Challenge
Mapping Leadspace Fields to Varying CRM and MAP Schema
Leadspace returns a standardized set of firmographic, technographic, and intent fields, but every CRM and marketing automation platform has its own custom field structure. Teams burn significant time manually building and maintaining field mapping logic, especially as CRM schemas evolve with new custom objects or field renames.
How Tray.ai Can Help:
tray.ai's visual data mapper and transformation tools let you define and store field mapping logic centrally, translating Leadspace's API response into the exact field structure required by Salesforce, HubSpot, Marketo, or any other connector. When schemas change, you update the mapping in one place rather than editing code across multiple point integrations.
Challenge
Triggering Enrichment Only When Needed to Control Costs
Leadspace API calls are metered, and enriching every record indiscriminately — duplicates, internal test leads, contacts enriched last week — wastes credits and inflates costs. Without smart trigger logic, teams either over-enrich and overspend or under-enrich and miss coverage.
How Tray.ai Can Help:
tray.ai workflows can check whether a record was enriched within a defined window, whether it meets minimum data quality thresholds, or whether it passes duplicate detection before firing a Leadspace API call. Enrichment credits go only to records that actually need it.
Challenge
Actioning Intent Data Before the Signal Goes Cold
Leadspace intent signals have a short shelf life. An account researching a solution category this week may move on or choose a competitor within days. Intent data sitting idle in Leadspace without triggering a sales action quickly loses its value.
How Tray.ai Can Help:
tray.ai can poll Leadspace for intent signals on a frequent schedule or via webhook, then immediately trigger downstream actions — updating CRM priority scores, alerting AEs in Slack, enrolling accounts in targeted ad audiences, or adding contacts to high-touch sequences. Every intent spike gets a fast, coordinated sales response.
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Integrate Leadspace With Your Stack
The Tray.ai connector library can help you integrate Leadspace with the rest of your stack. See what Tray.ai can help you integrate Leadspace with.
Start using our pre-built Leadspace templates today
Start from scratch or use one of our pre-built Leadspace templates to quickly solve your most common use cases.
Template
New Salesforce Lead → Leadspace Enrich → Update CRM Record
Automatically enriches every new Salesforce lead with Leadspace firmographic and fit score data, then writes the enriched fields back to the corresponding Salesforce record.
Steps:
- Trigger on new Lead created in Salesforce
- Send lead email and company name to Leadspace enrichment API
- Map returned firmographic fields, fit score, and intent data back to Salesforce lead record
Connectors Used: Salesforce, Leadspace
Template
HubSpot Contact Created → Leadspace Enrich → Route to Sales or Nurture
When a new HubSpot contact is created, enrich it via Leadspace, evaluate the returned fit score against routing thresholds, and assign high-fit contacts to a sales sequence while sending low-fit contacts to a nurture workflow.
Steps:
- Trigger on new Contact created in HubSpot
- Call Leadspace API to enrich contact with company data and fit score
- Evaluate fit score with conditional logic: route high-fit leads to Outreach sales sequence, low-fit to HubSpot nurture workflow
Connectors Used: HubSpot, Leadspace, Outreach
Template
Web Form Submission → Leadspace Enrichment → CRM Write and Slack Alert
Captures inbound web form submissions, enriches the partial record via Leadspace instantly, writes the full record to Salesforce, and pings the owning sales rep in Slack with a summary of the account intelligence.
Steps:
- Trigger on new Typeform submission capturing name, email, and company
- Send submission data to Leadspace for real-time enrichment and scoring
- Create enriched Lead in Salesforce with all returned Leadspace fields
- Post Slack message to assigned rep with lead summary, fit score, and intent highlights
Connectors Used: Typeform, Leadspace, Salesforce, Slack
Template
Scheduled CRM Data Hygiene with Leadspace Re-Enrichment
Runs a nightly or weekly workflow that scans Salesforce accounts for records not updated in 90 days, re-enriches them via Leadspace, and flags records with significant data changes for rep review.
Steps:
- Scheduled trigger runs nightly; queries Salesforce for Account records with LastModifiedDate older than 90 days
- Loops through each account and calls Leadspace enrichment API with company domain
- Compare returned data to existing CRM fields; update stale fields automatically
- Flag records with material changes (e.g., headcount shift, new technology) and send Slack digest to RevOps team
Connectors Used: Salesforce, Leadspace, Slack
Template
Leadspace Intent Spike → Prioritize Account in Salesforce and Notify AE
Polls Leadspace for accounts showing intent spikes on target topics, updates the corresponding Salesforce account priority score, and sends the owning AE a real-time Slack alert with the intent context.
Steps:
- Scheduled trigger polls Leadspace API for accounts with intent spike signals on defined topics
- Match returned accounts to existing Salesforce Account records by domain
- Update Salesforce Account priority score field and log intent signal in activity notes
- Send Slack DM to owning Account Executive with account name, intent topic, and recommended next action
Connectors Used: Leadspace, Salesforce, Slack
Template
Marketo Program Member → Leadspace Enrich → Update Lead Score and Segment
When a lead joins a Marketo program, enrich it via Leadspace and update the Marketo lead score and segment membership based on the returned fit score and company profile.
Steps:
- Trigger on lead added to specified Marketo program
- Send Marketo lead data to Leadspace API for enrichment
- Parse returned fit score and firmographic fields; update Marketo lead score token and segment list membership accordingly
Connectors Used: Marketo, Leadspace