Trade Show Lead Import and Deduplication
A booth team comes back from a three-day trade show with a badge-scanner export of 400 leads, and getting that list into usable CRM shape takes a full week: matching scans against existing contacts and accounts, cleaning up scanner OCR errors in names and titles, figuring out which scans are actual prospects versus other vendors working the same floor, and routing each one to the right rep. By the time it's done, the event is two weeks in the past and the flicker of interest that made someone stop at the booth has faded, so follow-up lands on someone who barely remembers the conversation.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 1-2 full days of manual cleanup avoided per event, plus faster follow-up.
How the automation works
We connect your badge scanner or event platform export directly into an automated import pipeline that runs the moment the export is available, not whenever someone gets around to processing it manually. Scanned records are cleaned for common OCR errors, matched against existing contacts and accounts to prevent duplicates, filtered to exclude other vendors and clearly irrelevant scans, and routed to the right rep with the specific booth conversation notes attached if the team logged any live. Follow-up can start within 24 hours of the show closing instead of two weeks later.
Process flow
- 01
Event export available trigger
The badge scanner or event platform export triggers the import pipeline automatically as soon as it's available, rather than waiting for someone to manually process the file after the show.
- 02
Clean scan data ai
Common badge-scan OCR errors in names, titles and company names are corrected using pattern recognition and cross-referencing against known company name formats.
- 03
Filter irrelevant scans ai
Other exhibitors, clearly irrelevant scans (a scan of a staff badge, a duplicate from someone scanning their own badge twice) and known non-prospect categories are filtered out before they ever reach a rep's queue.
- 04
Match and dedupe against CRM integration
Each cleaned scan is matched against existing contacts and accounts to prevent creating duplicates of people already in the system, using the same matching logic as your ongoing deduplication process.
- 05
Route with booth context output
Leads route to the right rep by territory or account ownership, with any booth conversation notes attached, so follow-up starts with real context instead of a cold, generic outreach.
Inputs
- Badge scanner/event platform export
- Existing CRM contact and account database
- Booth conversation notes (if logged)
- Known exhibitor/non-prospect exclusion list
Outputs
- Cleaned, deduplicated lead records
- Filtered exclusion of irrelevant scans
- Routed leads with booth context
- Post-event import turnaround report
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Badge scanner OCR errors are systematic, not random — certain letter combinations and company name formats consistently misread the same way, and a cleaning pass that just fixes obvious typos without recognizing these systematic patterns will leave a meaningful share of company names wrong in ways that break account matching downstream.
- Filtering out 'other exhibitors' based on a static list of known competitor or vendor company names misses new exhibitors who weren't on last year's list, and misses individuals from a company that's a customer for one product line but exhibits as a partner for another — filter logic needs to stay current and handle genuinely mixed relationships, not just a fixed blocklist.
- Matching scans against existing contacts purely by name risks merging a genuinely new person at an existing account into an old contact record with the same common name, especially at large accounts, while matching too loosely on company name alone can miss legitimate existing contacts whose badge printed a shortened or different company name than what's on file.
- Speed matters disproportionately for event leads specifically, since interest generated by an in-person conversation decays faster than interest from a form fill — an import pipeline that's accurate but still takes a week to run defeats much of the purpose even if the eventual data quality is good, so turnaround time is as important a design constraint here as accuracy.
Frequently asked questions
How fast can leads be imported and routed after an event ends?
Typically within 24-48 hours of the export being available, compared to the week or more manual processing commonly takes, since follow-up speed matters more for event leads than most other sources.
Does this catch OCR errors from badge scanners?
Yes — common systematic scanning errors in names, titles and company names are corrected using pattern recognition, not just basic spell-check.
How does this avoid creating duplicate contacts for people already in the CRM?
Scans are matched against existing contacts and accounts using the same deduplication matching logic used for your ongoing lead flow, not a separate, looser process just for events.
What happens to booth conversation notes if the team logged any?
They're attached to the routed lead record so the follow-up rep has real context from the actual conversation, not just a bare contact scan.