Enrich Hundreds of LinkedIn Leads in a Single Session
Enriching leads one at a time does not scale. Select your entire database — or any filtered group — and let AI process every lead with smart batching, progress tracking, and cost-optimized prompts.
- Enrich 10, 50, or 200+ leads in a single session
- Smart batching groups leads to minimize API costs
- Track progress in real time with pause and resume
Batch AI Enrichment: What You Need to Know
One-at-a-time enrichment breaks at 20 leads.
Clicking Enrich on each lead individually works fine for a handful of profiles. But when you import 200 leads from a conference, scrape a Sales Navigator search, or migrate a spreadsheet into your CRM, individual enrichment becomes a bottleneck. You spend hours clicking the same button and waiting for the same AI response — time that should be spent on outreach.
Worse, manual one-by-one enrichment leads to inconsistency. You approve some corrections, skip others, and by lead 50 your standards have slipped. The batch approach applies consistent validation rules to every lead, every time.
Select once. Process everything. Review the summary.
Batch enrichment flips the workflow. Instead of enriching leads as they arrive, you collect them throughout your workday — capture, import, search — and run one batch session. The processor queues every lead, sends optimized AI requests, and presents a summary when done.
You review the changes in bulk: accept all corrections, reject specific ones, or dive into individual leads that need manual attention. The rest are processed automatically. Five minutes of review instead of two hours of clicking.
How Batch AI Enrichment Works
Select Leads
Choose a group, filter by tag, or select all. Define your enrichment scope — basic correction or full profile enrichment.
Smart Batch Groups
Leads are automatically grouped by enrichment need. Focused prompts go to each group, minimizing token waste.
Process & Monitor
Watch the progress bar as leads are enriched. Pause, resume, or skip individual leads without stopping the batch.
Review & Save
Bulk-accept corrections, reject specific changes, or inspect individual leads. Save with one click. Database updated.
Built for Volume. Optimized for Cost.
Smart Batching
Leads are analyzed and grouped by enrichment complexity before any API call is made. Name-only corrections are batched separately from full-profile enrichments. Each group gets an optimized prompt that uses fewer tokens and returns faster.
Queue Persistence
Close LinkedIn mid-batch and your position is saved. The queue resumes exactly where it stopped — no duplicate processing, no lost progress. Works across sessions and across devices with cloud sync.
Failure Isolation
A single failed lead does not halt the batch. Errors are logged individually while the processor moves to the next lead. After completion, review the skip list and decide whether to retry or manually handle those leads.
Manual vs Batch: Time & Cost at Scale
Token costs scale linearly with batch size. Enriching 500 leads with GPT-4o-mini for basic field correction costs approximately $0.10 in total API fees — less than the electricity to keep your laptop running for the manual equivalent.
When to Use Batch vs Single-Lead Enrichment
Moving a spreadsheet of 300 leads into your CRM? Batch enrich them all before import. Clean, consistent data from day one with no manual cleanup.
Captured 150 leads at a conference or webinar? Run one batch session to correct names, companies, and titles before your follow-up sequence begins.
Have an existing lead database with inconsistent formatting? Batch enrichment normalizes company names, standardizes titles, and fills missing fields across your entire list.
New leads accumulate during the week. Run a batch every Friday to ensure everything entering the weekend is enriched, validated, and outreach-ready for Monday.
Moving from one CRM to another? Batch-enrich all migrated leads to ensure the new system starts with clean, complete, and consistently formatted data from day one.
Run a full-database enrichment pass every quarter. Catch data degradation from manual edits, imports, and aging records. Keep your pipeline accurate all year.
When to Use Batch Enrichment
After a Large Import
You import 500 leads from a CSV or Sales Navigator export. AI enrichment validates and corrects every lead in the import — fixing swapped names, wrong companies, and incomplete titles — in a single batch session. What would take hours of manual review is done in minutes.
Best for: Sales teams, agencies onboarding client lists
Before a Campaign Launch
You are about to send outreach to 200 prospects. Running batch enrichment first ensures every lead has accurate data — names are correct, companies are properly mapped, missing titles are filled. Your messages land correctly and personalization works.
Best for: SDRs, account executives preparing sequences
Weekly Database Maintenance
On Friday afternoon, run a batch enrichment across all leads added that week. The queue processes new entries, flags anomalies, and keeps your database consistently clean. This habit prevents the data decay that makes lead databases unreliable.
Best for: Power users, data-conscious teams
Re-enriching Stale Leads
Leads captured months ago may have incomplete data from outdated LinkedIn profiles. Batch re-enrichment checks these leads against current profile data and updates fields that have changed — new titles, company moves, location updates. Your pipeline stays current.
Best for: Agencies, long-cycle sales teams
Batch Size & Cost Optimization
| Batch Size | Basic Correction | Full Enrichment | Est. Time |
|---|---|---|---|
| 50 leads | ~$0.01 | ~$0.05 | 1-2 min |
| 200 leads | ~$0.03 | ~$0.18 | 4-8 min |
| 500 leads | ~$0.07 | ~$0.45 | 10-20 min |
| 2,000 leads | ~$0.28 | ~$1.80 | 40-80 min |
Costs assume GPT-4o-mini with smart batching enabled. Actual costs vary by provider and model.
Frequently Asked Questions
What is batch AI enrichment?
Batch AI enrichment processes multiple leads through AI validation and correction in a single automated session. Instead of clicking Enrich on each lead individually, you select a group — or your entire database — and the batch processor works through every lead sequentially, applying the same AI validation rules to each.
How many leads can I enrich in one batch?
There is no hard limit on batch size. You can select any number of leads — 10, 50, 200, or your entire database. The batch processor queues them and works through the list. Larger batches take longer but require no additional interaction from you.
How does smart batching reduce costs?
Smart batching groups leads by enrichment need before sending requests to the AI. Leads that only need name correction are batched together with a focused prompt. Leads needing full enrichment get a comprehensive prompt. This targeted approach reduces token consumption compared to sending every lead through a generic enrichment pipeline.
Can I pause and resume a batch?
Yes. Batch processing supports pause and resume. If you need to close LinkedIn or shut down your computer mid-batch, the processor saves its position. When you return, it picks up where it left off. No leads are double-processed.
What happens if a lead fails to enrich?
Individual lead failures do not stop the batch. If a specific lead cannot be enriched — due to insufficient profile data, an API error, or a timeout — it is marked as skipped and the batch continues to the next lead. After the batch completes, you see a summary of enriched, skipped, and unchanged leads.
Does batch enrichment use the same AI providers?
Yes. Batch enrichment uses the same API key and provider configuration as single-lead enrichment. OpenAI, Anthropic, Google Gemini, DeepSeek, and any OpenAI-compatible endpoint are supported. You can switch providers between batches.
How long does a batch take?
Batch speed depends on your AI provider's response time, the complexity of enrichment needed, and your batch size. A typical batch of 50 leads with basic correction takes 2-5 minutes using GPT-4o-mini. Larger batches or full-profile enrichment take longer. The progress bar shows estimated completion time.
Is batch enrichment available on all plans?
Yes. Batch enrichment is available on all plans including Free. The only limit is your lead count: Free includes 100 leads, Starter includes 3,000, and Pro/Team are unlimited. You can batch enrich up to your total lead count.
Can I batch enrich leads from a specific group or tag?
Yes. Filter your leads by group, tag, or any search criteria before starting a batch. Only the filtered set is processed. This is useful for enriching leads from a specific campaign, pipeline stage, or import batch.
How much does batch enrichment cost in API fees?
Cost depends on your provider and model. With GPT-4o-mini, enriching 500 leads with basic field correction costs approximately $0.07-0.10 in total API fees. Full-profile enrichment costs more per lead but still a fraction of a cent each. Use your provider's cost calculator for exact estimates.
Can I schedule recurring batch enrichments?
Batch enrichment is currently manual-start. You choose when to run it — after a large import, at the end of the week, or before a campaign launch. Scheduled automation is on the roadmap for future releases.
What is the difference between basic correction and full-profile enrichment?
Basic correction fixes structural issues: swapped names, company mapping errors, and truncated titles. Full-profile enrichment adds missing data: industry classification, company size, location completion, and professional summary generation. Basic is faster and cheaper; full-profile provides a complete data set.
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Batch process hundreds of leads. Pay only token costs. Clean data at scale.
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