In B2B sales, data doesn’t just sit there; it decays. Research from Marketing Sherpa via HubSpot shows that B2B data degrades at a rate of roughly 2% per month. By the end of the year, nearly 23% of your database is effectively a ghost town of disconnected lines, bounced emails, and people who no longer work at the company you’re targeting.
When a data provider says their information is regularly updated, they’re usually being vague for a reason. In this industry, regularly can mean anything from this morning to sometime last quarter.
If you’re building a pipeline, the gap between those two definitions is the difference between a booked meeting and a wasted afternoon.
The taxonomy of freshness claims
To understand what you’re actually buying, you have to look past the marketing language and into the update frequency.
Most providers fall into one of four categories:
- Daily refresh: Rolling re-verification where records are checked constantly. This level of speed generally requires the provider to own their own database rather than just acting as a pass-through.
- Monthly batch: The data is updated in bulk cycles. If you query a record on day 29 of a 30-day cycle, you’re looking at month-old intel.
- On-demand: The provider checks the data the moment you ask for it. While this sounds ideal, it’s entirely dependent on whatever upstream source they are pinging. If the source is stale, the live result is stale too.
- Regularly or undisclosed: In the data world, silence is usually a sign of stagnation. If a provider updated their data daily, they would lead with that fact.
Currently, the landscape is fragmented. Some providers like Lusha update contact data daily. However, for most other players, the cadence remains undisclosed.
How Lusha maintains data freshness
Maintaining daily freshness for over 280 million verified contacts and 30 million company profiles isn’t just about cleaning data—it’s about how the data is built.
Lusha processes over 1.2 billion data points daily and adds roughly 7 million new signals every week. This isn’t just a scheduled crawl of the web; it’s a multi-layered verification system:
- Community-contributed data: A community of professionals shares their own work contacts. When someone moves jobs or changes a number, the system receives a real-world signal immediately, creating a continuous inflow of truth.
- Partnership-sourced data: Data is ingested from partners who must meet defined quality standards before their records enter the ecosystem.
- The daily verification loop: Lusha proactively verifies email deliverability, phone validity, and title currency. If a record fails, it’s flagged, updated, or removed from the live pool.
The result is a vendor-stated accuracy of 98% for email deliverability and 85% for phone accuracy globally. In the EMEA region, email accuracy reaches 97%.
How data gets updated matters as much as how often
Freshness is a structural problem, not just a scheduling one.
A provider that relies solely on web scraping is always a step behind. They only see a change after a professional decides to update a public profile and the scraper happens to re-crawl that specific page.
Lusha’s model is different because the verification and the refresh are linked, creating a continuous feedback loop. When an email bounces or a number is disconnected anywhere in the system, it triggers an automatic re-verification.
The litmus test: When you’re evaluating a provider, ask: “When a record goes bad, how does the system find out?” If they wait for a monthly batch or a user complaint, your team is the one doing the cleaning.
Precision over volume
While Lusha’s daily refresh cycle is focused on contact data, the company database of 30M+ profiles is intentionally more specialized than larger aggregators.
The priority is placed on the daily accuracy of the individual person you need to reach over maintaining the largest possible list of raw company records.
The bottom line
“When was this record last verified?”
If a provider can answer that question with a specific timestamp, they own their data and their process. If they can’t, you’re likely working with data that has been sitting on a shelf for weeks.
In a world where 2% of your leads disappear every month, you can’t afford to wait 30 days for an update.
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