Resolve all your datasets into one source of truth
Match accounts across every single 1P and 3P dataset in your data warehouse. We generate a unique DataLane ID to join records across every 1P and 3P dataset.
Fix your data foundations.
Build your local GTM strategy on top
DataLane Foundations handles the mess of operationalizing local GTM data. We take care of CRM cleanup, enrichment, entity resolution, and controlled imports. You focus on execution.
[ The traditional data Approach vs. Foundations ]
Sourcing local GTM data is just the first step to using it. Why hasn’t anyone else solved the rest?
Features
Traditional stack
(ZoomInfo, Clay, Buying lists, manual ops)
(ZoomInfo, Clay, Buying lists, manual ops)
DataLane Foundations
Primary data source
Rely on LinkedIn for contact data — which most local businesses aren't using.
Pulls in hundreds of public and proprietary sources — 17M operating locations, refreshed weekly. Use any data point imaginable.
Hierarchies
No concept for nested account structures in franchise, PE-owned, or multi-location operatiors.
Factors in account hierarchies out of the box for franchises, multi-loc, PE-owned firms.
Entity resolution
Uses website or email as unique ID in local. Doesn't work with franchises, personal emails, and sole proprietors.
Multi-variate resolution algorithms that match accounts across 1P and 3P datasets. Factors in every edge case.
CRM sync
Records can be pushed without clear rules, leading to a mess of duplicates and overwrites that pollute your CRM.
Controlled push to your CRM — dedupe, configure field mappings, factor in existing records, set rules to prevent overwrites
Maintenance
Annual "cleanup projects" to try fixing the mess.
Control field mappings and syncing processes to prevent a mess from being created in the first place.
[ The traditional data Approach vs. Foundations ]
Build the data foundation for every local GTM project, no more headaches
Size
Segment
Action
TAM · NEW VERTICAL
Evaluate the feasibility of your next expansion vertical in an afternoon.
Your roadmap says "sell to hair salons." Get clean counts by city, booking software, and location count — no three-week data sprint, no waiting on a data team.
TAM · COVERAGE GAP
Compare your CRM coverage to the local TAM.
You have 50K accounts in your CRM, but how many are you missing? Which ones are stale? How many are actually dupes?
TAM · FRANCHISE & PE
Size the franchise market — rolled up by franchise or PE-holding groups.
Group locations by franchisee or PE-holding group. Analyze the structure of the market to build accurate territories.
Segment · New Openings
Catch new openings before your competitors.
Have your AEs calling owners of newly opened businesses before any of your competitors. Selling to greenfield is easier then ripping and replacing.
Segment · Build Campaigns
Build campaigns based on any key signal.
Filter by POS vendor, revenue-proxies, and location count. Stack different signals together to refine your targeting and test hypotheses.
Scoring · build models
Find more of your best customers.
Join your usage and payments data with 3P datasets, then build scoring models that let you identify leading indicators of best-fit customers
Orchestrate · ABM Campaigns
Run ads and send direct mail to owners.
Run direct mail and paid ads to your TAM. Have reps working accounts that have been warmed up by the marketing team.
ENRICHMENT · MOBILE Numbers
Skip gatekeepers, reach decision makers.
Add decision maker mobile numbers to every priority account so your team can talk to owners and decision makers. Skip the manual research
TRIGGER · GREENFIELD
“Your neighbor uses us”
Support your sales team with high-alpha plays that improve conversion rates. Build any play on top of Foundations.
[ End-to-end workflow ]
Handling every ops task you need to take your strategy live
Step [01] · Resolve
Step [02] · Filter
Step [03] · Enrich
Step [04] · Push
Source any datapoint using our local-optimized AI infra, filter out poor-fit accounts
Once resolved, easily filter and segment accounts to build campaign lists. Segment using any field available across 1P, 3P, and DataLane tables. Use our Custom Columns tools to source new filters.
Enrich accounts with the DM contact data your team needs to action
Decision maker mobile numbers. Emails. First name. Address. Everything your GTM and marketing teams need to action lists effectively.
Push to your CRM with guardrails.
Operationalize that data by syncing to your CRM. Different mappings for inserts vs. updates. Required-field validation. Salesforce duplicate-rule handling. Account-level filters. We handle all the edge cases.
[ Features ]
The only platform that understands how local GTM actually works
Every feature built at the request of a RevOps leader
[01] · GRAPH
Source every local-business account you're missing
17M operating locations across restaurants, home services, healthcare, beauty, retail, construction — refreshed weekly to catch newly opened and closed businesses. . Franchise brand, POS vendor, delivery partners, location count, review signals, owner mobile — all available.
[02] · ENTITY RESOLUTION
Match your first-party and third-party datasets to DataLane's knowledge graph
Set Schemas that define how your different data sets are connected to each other. Generate a DataLane ID to allow for joins across every single dataset.
[03] · CUSTOM COLUMNS
Enrich with the data points you need to execute your strategy
Aggregate any datapoint to create custom columns on existing data or use our AI infra to discover new data points that are missing.
[04] · CAMPAIGNS
Generate lists by filtering on the combined dataset
Size verticals, build territories, and prepare campaign lists by filtering on any column you have available.
[05] · CRM PUSH
Control CRM imports, prevent dupes and destructive syncs
Rules for inserts vs. updates. Prevent overrides of existing data. Native Salesforce and Hubspot integrations. Set it up yourself without waiting for a data team.
[ testimonial ]
Enabling 5000+ sales reps
at industry-leading companies
“Once we shifted to DataLane, within days, data concerns from Sales stopped. I would check in: ‘everything's quiet. Is everything okay?’ ‘Everything's great.’
Turned on DataLane, got the accounts into Salesforce, and instantly a different relationship was built with Sales knowing they were going to have the phone numbers, emails, and the right contact available. It was a game changer for us.”
Erin Towery
Revops, Shopmonkey
Read full case study
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“We used to get a 50% contact accuracy rate and now we have a 95% contact accuracy rate. Instead of a 3% call to decision maker connect rate, we get a 12 to 14% call to decision maker connect rate, which means every BDR is three times as effective.”
Kyle Norton
CRO, Owner
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“I was shocked by how accurate Datalane’s data was - we had previously tried many other vendors and Datalane was way better. They helped us reach accounts we had never been able to get in contact with and significantly increased meetings booked.”
Seye Carrena
Head of Selection Intel, Doordash
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“The ability to dedupe is extra important because it pertains to deal ownership and commissions. Upstream data integrity is a critical piece to scaling a sales motion and assigning fair, balanced books of businesses to our reps.”
Amanda Lam
Revops, GlossGenius
Operationalize messy local business data into clean foundations