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Asphorem for Field Marketing Manager

Turn messy event lists into clean CRM imports

Field marketing comes home from every event with a pile of lead lists: badge scans, booth signups, partner shares, a spreadsheet someone typed by hand. Asphorem turns all of them into one clean file your CRM accepts.

File rows never leave your browser. AI matching uses unique column values only.

Works with any CSV-based import

HubSpot Salesforce Pipedrive Zoho Shopify Klaviyo + any tool that accepts CSV

What slows field marketing down

Every event produces leads in a different shape, and follow-up speed pays the price.

Every event vendor exports differently

Badge scanners, registration platforms, and partners each use their own column names and formats. None match your CRM.

Hand-typed lists full of typos

Booth signup sheets and manually entered leads arrive with misspelled companies, job titles, and countries.

Lead source attribution gets lost

Without a consistent source value on every file, you cannot prove which event actually generated pipeline.

Slow follow-up while you clean data

Speed to lead matters after an event, but the list sits in a spreadsheet getting cleaned while competitors are already calling.

How Asphorem fixes it

From a pile of vendor exports to one clean, attributed file, the same day the event ends.

01

One mapping per event vendor

Save a mapping for each scanner or registration tool you use. Next event, the same export is clean in seconds.

02

AI fixes typos and variants

Misspelled companies, inconsistent job titles, and country variants are resolved to clean canonical values automatically.

03

Add a constant source column

Tag every row in a file with the event name as a synthetic column, so attribution is correct before import.

04

From export to import in minutes

Upload, apply your saved mapping, review, download. Follow-up starts the same day the event ends.

The AI that actually understands your data.

Not just fuzzy search. Asphorem's AI matches picklist values semantically, across typos, abbreviations, different languages, and numeric range formats.

Raw CSV values
Deal Stage
closd won Closed - Won CLOSED WON Won
Close Date
15/01/2024 Jan 15 2024 2024-01-15T00:00
Industry
tech TECHNOLOGIE IT
Your canonical values
Deal Stage [Picklist]
Closed Won
Close Date [Date]
2024-01-15
Industry [Picklist]
Technology
Cross-language "TECHNOLOGIE" → "Technology" · "Santé" → "Healthcare"
Typos & variants "closd won", "Closed - Won", "Won" → "Closed Won"
Date format normalization "Jan 15 2024", "15/01/24" → "2024-01-15"
Manual override Review and correct any match individually, or bulk-reset unmatched values in one click
Local matching fallback Disable AI and run name normalisation locally, for offline use or sensitive data
EU & US number formats "1.500,50" or "1,500.50" → normalised output regardless of input style

When this matters

The post-event scramble where clean data is the difference between fast follow-up and a cold list.

Post-conference badge-scan upload

A scanner export with hundreds of leads needs cleaning before follow-up. Apply a saved mapping and import same day.

Consolidating leads from a multi-vendor event

Several exports in several formats. Normalise each to one schema and import them as a single clean file.

Importing a partner's shared lead list

A co-marketing partner shares leads in their format. Clean it to your schema before it reaches a sequence.

Cleaning a hand-collected signup sheet

A typed booth sheet is full of inconsistencies. AI matching fixes the values so the leads import cleanly.

Common questions from field marketing teams

Do I need a separate mapping for each event badge scanner I use?

Yes, and that is the point. Each scanner exports in its own format. Save one mapping per scanner or registration tool. Once the mapping is saved, every future event using that scanner takes seconds to clean instead of starting from scratch.

How do I combine leads from two different scanners at the same event?

Clean each export separately using its saved mapping. Because both outputs are now in your target schema with consistent column names and values, merging them is straightforward. Import the combined file or append one to the other before import.

Can I add the event name and date as extra columns in the output?

Yes. Add constant columns for event name, event date, or any other tag before exporting. Every row gets those values, so attribution and campaign tagging are correct before the file reaches your CRM.

How quickly can I get a clean file after an event?

Once your scanner mapping is saved, most users go from a raw export to a CRM-ready file in under 10 minutes. Upload the file, apply the saved mapping, review the AI-resolved values, and download the clean output.

Clean your first file as Field Marketing Manager

Free plan included. No credit card required.

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