Local businesses often publish numbers.
Original data direction
Public contact data benchmarks for lead research
This report combines live, anonymized Lead Outreach Agent search telemetry with a clear measurement framework. The sample updates from completed searches without exposing individual leads or customer queries.
At a glance
What you get on this page
Benchmarks for how often public emails, phones, and websites actually appear in lead research, with practical patterns for building contactable lists.
Workflow preview
See the workflow before starting a search
Review the actual search setup and result format before spending credits or starting a campaign.
Quick demo path:
1. Pick a niche and country.
2. Watch the search move through public sources and contact checks.
3. Review kept leads and edit the first outreach draft.
Many creators hide business email publicly.
Country, platform, and size filters narrow the pool.
Source-linked evidence
Research behind this page
Use these findings as context, not promised results. Each source includes its sample or method and the limitation that matters when applying it.
State of Sales, 7th Edition
Sales reps report spending almost one workday per week prospecting; 92% of sales professionals using AI agents say AI benefits prospecting.
- Method
- Survey of 4,050 sales leaders, representatives, operations staff, and support professionals across 19 country groups and multiple industries.
- Use carefully
- The 92% figure only covers respondents already using AI agents and is a perception measure, not a controlled productivity test.
The surprising economics of B2B growth
B2B buyers use an average of ten channels during the purchasing journey, and market leaders are four times more likely to deploy true one-to-one personalization.
- Method
- Global B2B Pulse survey of nearly 4,000 decision-makers across 13 countries and multiple industries.
- Use carefully
- The study covers broad B2B buying behavior; it does not isolate cold-email performance or prove that personalization alone causes growth.
Results need a usable public email or phone number and enough source context for review.
Each result includes context to help you check why the lead fits before outreach.
Drafts remain editable and should be reviewed for accuracy, relevance, and compliance before sending.
Comparison
Six quality checks: current verification status
These statuses reflect what the current product telemetry can support. A rate is not published when the required evidence is not collected.
| Quality check | Current status | Evidence needed |
|---|---|---|
| Valid contact rate | Automated proxy only | Manual source audit or an independent contact-validation result for a defined sample. |
| Correct niche/location rate | Not measured | Human comparison of each sampled result with the search brief and official source. |
| Duplicate rate | Not measured | Counts before and after normalized company, domain, phone, and branch deduplication. |
| Named decision-makers vs generic contacts | Not measured | A reviewed classification of named people and role inboxes in a defined sample. |
| Email deliverability | Not measured | Delivered, bounced, and rejected events from the user's outreach sending platform. |
| Invented personalization details | Prompt guardrail only | Line-by-line human factual review against the public source used for each draft. |
Live benchmark telemetry
Aggregated search quality snapshot
Aggregated from recent Lead Outreach Agent search-completed events. No individual leads, customers, or search prompts are exposed.
Search-completed events in the current sample.
Total leads requested across the sample.
Leads with a public email or phone after automated checks; this does not prove ownership or deliverability.
Leads that passed automated checks divided by requested leads.
Leads that passed automated checks divided by deduplicated candidates reviewed.
Searches that returned zero leads and triggered credit return.
Average provider query count per completed search.
What the live snapshot verifies
The live figures count completed searches, requested leads, candidates reviewed, leads that passed automated contactability checks, zero-result searches, and provider-query volume. They do not prove that every contact is correct, deliverable, or a perfect campaign match.
Concrete example: audit one 20-lead batch
Suppose a search returns 20 Belgian dental clinics for a booking-automation offer. Before reporting a quality rate, open the official source for every result and record the same six checks for each lead.
- Contact validity: confirm that the public email or phone is still shown on the official site and belongs to the business.
- Niche and location: confirm that the business is a dental clinic in Belgium, not a directory, supplier, closed branch, or neighbouring-country result.
- Duplicates: normalize the company name, domain, phone, and branch address, then count repeated businesses once.
- Contact type: separate a named person with a published business role from role inboxes such as info@, contact@, or sales@.
- Deliverability: calculate delivery and bounce rates from the sending platform after outreach is sent; Lead Outreach Agent does not send the campaign.
- Personalization accuracy: compare every factual phrase in the draft with the linked public source and mark any unsupported detail as invented.
Why benchmarks are useful
Benchmark data gives founders and agencies a concrete reference for comparing lead quality over time.
Privacy guardrail
Publish only aggregated, anonymized metrics. Do not expose individual leads or customer searches.
Questions people ask before using this
What is the best next step after reading this page?
Start with one narrow search, review the contactability and match reasons, then use the related tools or benchmark pages to decide whether the niche is worth scaling.