Data Cleanser for technology & SaaS
Product signups, free trials, and high-volume inbound flood your CRM with the same people and companies twice. Keep one record per user and account so revenue, usage, and AI all read from the same truth.
Product-led growth multiplies records faster than any other motion: a single buyer can arrive through a trial form, a webinar, a billing sync, and a sales rep in the same week. Data Cleanser gives admins rule-based matching and controlled mass merge to keep that sprawl from fracturing the customer view.
Where duplicates come from in your sector
Signup duplicates at scale
Self-serve trials and PLG forms create the same user and account again and again, across every integration that writes to Salesforce.
Fractured account hierarchy
Dozens of product users map to one company but land as separate accounts, breaking usage rollups and revenue reporting.
Integration sprawl
Marketing automation, billing, and product analytics each push records in — multiplying duplicates no one owns.
Built for your sector, native to Salesforce
Normalize, then match
Field normalization on email, domain, and company runs before comparison, so matching catches the duplicates exact rules miss.
One account per company
Fuzzy account matching with a domain or billing-city tiebreaker rolls many product users up to a single company record.
AI-ready customer signals
One trusted record per customer gives Agentforce, Einstein, and scoring models consistent usage and pipeline data.
What clean data unlocks
- Accurate ARR, usage, and pipeline rollups per account
- Clean inputs for product-led scoring and AI
- Fewer duplicate trial and nurture emails
- One customer view across product, sales, and success
Common questions
Self-serve signups keep creating duplicate Leads and Contacts. Can this fix it?
Yes. Scenarios that match on normalized email and company catch the duplicates high-volume signup creates, and you merge them into one record per user.
Can we keep one Account per company across many product users?
Yes. Fuzzy account matching with a domain or city tiebreaker consolidates many contacts under one company record.
Will clean CRM data help our AI and analytics?
Directly. One trusted record per customer gives Agentforce, Einstein, and your dashboards a consistent view instead of split, double-counted signals.
Does it scale to large data volumes?
Mass merge clears large backlogs in controlled passes, and it covers Leads, Contacts, and Accounts.
Can it guard against duplicates from our integrations at write time?
Real-time prevention and an import/API duplicate guard are on the roadmap. Today you screen with a scenario scan and merge, and you approve every action.
See it on your own data
Start a free limited trial in your own Salesforce org, or book a live demo with someone who builds the app.