Tag: Google Maps data export

  • From Map to CRM: Clean Data Imports to Salesforce

    From Map to CRM: Clean Data Imports to Salesforce

    Why This Matters

    Pulling business leads from Google Maps is only step one. The real challenge? Getting that data into Salesforce without messy duplicates, broken fields, or missing context.

    Step 1: Export Data From Maps

    • Use a professional extractor to pull name, address, phone, category.
    • Save as TSV or CSV (best formats for Salesforce).

    Step 2: Prepare the File

    Before uploading:

    • Normalize phone numbers → Salesforce accepts E.164 format (+1-305-123-4567).
    • Split addresses → Street, City, State, ZIP, Country.
    • Check categories → Map them to Salesforce custom fields.

    Step 3: Import Into Salesforce

    • Navigate: Setup → Data Management → Data Import Wizard.
    • Choose Leads or Accounts.
    • Upload your file.
    • Map columns to Salesforce fields (e.g., “Business Name” → “Company”).

    Step 4: Avoid Common Errors

    • Duplicates: Enable “Prevent Duplicate Records” in setup.
    • Missing ZIP codes: Salesforce rejects incomplete addresses.
    • UTF-8 characters: Ensure special symbols are encoded properly.

    Step 5: Automate

    • Use Zapier or custom API integrations to skip manual imports.
    • Schedule weekly syncs for always-fresh data.

    Case Example

    A Miami agency exported 500 dentists from Maps:

    • Cleaned file in Excel (15 minutes).
    • Imported to Salesforce without errors.
    • Built an outreach sequence the same day.

    Conclusion

    From Google Maps to Salesforce, the difference between a usable CRM and a messy one is clean imports. Prep your files properly and you’ll save hours of manual cleanup later.

    BizLeadInfo – Ready clean lists

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  • How Agencies Build Local Lead Lists in Under 5 Minutes

    How Agencies Build Local Lead Lists in Under 5 Minutes

    The Speed Imperative

    Time kills deals. For agencies and sales reps, the ability to generate a qualified local lead list in minutes is a competitive advantage. Here’s how top agencies are doing it.

    Step 1: Define Target Segments

    • Vertical: Law firms, restaurants, gyms, salons.
    • Location: By city, ZIP code, or neighborhood.

    Step 2: Use Google Maps Efficiently

    • Search with precise keywords (“Italian restaurants in Chicago”).
    • Zoom into micro-zones for better accuracy.

    Step 3: Export & Format Data

    Tools now allow you to:

    • Pull 500+ businesses instantly.
    • Export into Excel/TSV.
    • Clean phone numbers and addresses.

    Step 4: Enrich & Filter

    • Add public e-mail addresses automatically.
    • Filter by: Category, Zip, Website, e-mail, phone, review score, number of reviews, etc.

    Real Agency Workflow

    📍 Case Study: A digital marketing agency in Miami:

    • Area: Miami metropolitan
    • Niche (search term): “Dentists”.
    • 738 results exported in 2 minutes.
    • Uploaded into HubSpot → sequences running same day.

    Pro Tips

    • Work in micro-zones (downtown, suburbs).
    • Standardize categories (“Dentist” vs “Orthodontist”).
    • Run regular searches — businesses open and close weekly.

    Conclusion

    Building local lead lists no longer takes hours of manual effort. With the right tools, agencies can go from search to outreach in under 5 minutes, winning more clients with less friction.

    Get fast leads. Try it for free.

  • Export Google Maps to Excel (TSV): A Step‑by‑Step Guide

    Export Google Maps to Excel (TSV): A Step‑by‑Step Guide

    Introduction

    If you’ve ever tried to copy business data from Google Maps, you know it’s slow and error‑prone. This post shows a faster, reliable path: Select your target area, run a free demo search up to three times with 5 results each, then queue a full run. You’ll download a clean .xls (TSV) file with columns aligned to your CRM so outreach can start the same day.

    Outline

    • When and why this matters
    • Step‑by‑step workflow (free test → full run)
    • Data quality tips (categories, geographies, micro‑zones)
    • Export and import (.xls TSV → CRM)
    • Measurement and next steps

    Full Draft

    Why this matters now

    Manual copy‑paste does not scale. Browser extensions can be brittle and miss pockets when the map is large. A hosted extractor that splits your target area into micro‑zones runs searches in parallel and returns a structured data, including columns for name, category, address, phone, website, rating, reviews and publicly available business emails. That structure is the difference between ‘list’ and ‘pipeline’ because it imports cleanly to your CRM.

    Step‑by‑step workflow

    1. Define scope. Choose a single city or neighborhood and a specific category.
    2. Free test. Run the preview test with 5 results each to confirm fields and data shape.
    3. Full run. Queue the job; the engine micro‑segments the map for coverage and speed.
    4. Download TSV. Open in Sheets/Excel and spot‑check a handful of rows.

    Data quality tips

    Be specific with categories (e.g., family law attorney vs lawyer). For dense metros, select smaller areas and run multiple searches; for rural, widen the map. Always check a few listings before importing; this catches category drift or duplicates.

    Export → Import

    Use TSV to avoid delimiter headaches. Map columns to Accounts/Leads in Salesforce/HubSpot/Zoho and other CRM systems. When emails are available you can run a short warm‑up sequence; for phone‑heavy verticals, prioritize call‑ready fields and local area codes.

    Compliance and good sense

    Work only with publicly available business information. Keep messaging relevant, offer opt‑outs and avoid misrepresentation. Local anti‑spam rules vary; align your process accordingly.

    What to measure

    Monitor import errors, outreach reply rate, booked calls by segment, and trial→paid. For this post’s traffic, track search impressions, CTR, and on‑page CTA clicks.

    Try it on your next campaign

    Start with one neighborhood and one category. The link below includes UTMs so you can attribute results to this guide.

    Run a free search →