AI Lead Scoring for Airtable
Your base, your tables, your field names. Trailspark reads the tables you map and writes Hot, Warm, or Cold with written reasoning back to fields you create, plus account propensity and buying-group coverage on your Companies table.
What syncs between Trailspark and Airtable
You map your Contacts, Companies, and optionally Deals tables once. Trailspark reads the fields you choose to score each account, then matches people by email and writes results to the fields you point it at.
Airtable sends to Trailspark
- From Airtable
Contact & Company fields
Industry, employee count, region, job title, and anything else you map, used for ICP matching and role-based scoring. Trailspark follows your Contact-to-Company link field to reach the account.
- From Airtable
Deals
Optional. Map a Deals table and closed-won history, close dates, amounts, and stage inform scoring. Your won indicator can be a checkbox, a date, or the values you name.
Trailspark writes to Airtable
- To Airtable
TrailSpark Score
Hot, Warm, or Cold, written to a field on your Contacts table. Single line text, or a single select with your own options.
- To Airtable
TrailSpark Reasoning
The plain-language reason behind the score, written to a Long text field your team can read in the record, a grid view, or an interface.
- To Airtable
Evaluation Date, ICP & Score Status
When the evaluation ran, which ICP scored the record, and whether the score is current, retired, or not evaluated, so an automation can tell a fresh score from a stale one. ICP and status are optional.
- To Airtable
Account propensity & reasoning
High, medium, or low on the Companies table, with its ICP, score status, and the explanation behind it. All optional, each mapped to a field you choose.
- To Airtable
Buying-group coverage
With buying-group push on: stage, engaged and missing roles, engagement and known completeness, and how many people are still needed, written to your Companies table. Per-contact roles are a Salesforce and HubSpot feature.
Use cases
Use Airtable as a CRM, and score the pipeline in it
Trailspark treats your mapped tables the way it treats Salesforce or HubSpot: your records are read for ICP matching, scored against your product, marketing, and enrichment data, and the results come back to your base. No second CRM to buy or migrate into.
See the whole buying group on the account
Your Companies table can carry the buying group's stage, which roles are engaged, which are still missing, and how many more people it takes to complete the group, next to the account's propensity score.
Let your views and automations act on the score
Once the score, reasoning, and evaluation date are fields in your own base, they work like every other field: filter a view to Hot accounts, group by propensity, or trigger an Airtable automation when a score changes.
Setup
Two stages: authenticate, then map your tables. Field Mapping and Destinations open once table mapping is done.
- 1
Connect your base
Authorize with OAuth, or paste a Personal Access Token if your organization restricts OAuth connections.
- 2
Map your tables
Tell Trailspark which table holds contacts and which holds companies, and add your Deals table if you want deal history in the score.
- 3
Choose what gets written
Create fields in your base for the score, reasoning, and dates, then pick them from a dropdown. Nothing is written to a field you haven't mapped.
Connect Airtable with Trailspark step by step
Our docs cover both ways to authenticate, the table mapping wizard, the deal fields Trailspark can use, the fields to create for results, and troubleshooting.
Common questions
See Trailspark and Airtable on your own data
Start free. Connect Airtable with OAuth. Watch scores land in custom fields you create on the records your reps already use.
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