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Navratri Mega Sale Price Tracking

1. Introduction

The Quick Service Restaurant (QSR) industry in North America is one of the most franchise-heavy markets in the world. Major chains across the USA and Canada rely on thousands of individually owned franchise units. To support expansion strategies, competitive mapping, and outreach programs, one client approached Actowiz Solutions with a clear question:

“Does your dataset include the name and email address of each franchise owner for QSR brands across the USA and Canada?”

This case study outlines how Actowiz Solutions built a compliant and structured QSR Franchise Intelligence Dataset that includes store-level details, franchise owner information (where publicly available), and operational metadata.

Client Background

Navratri Mega Sale Price Tracking

The client works in:

They needed a single dataset that brings together:

  • QSR franchise locations
  • Business owner information
  • Contact details (public sources only)
  • Brand-wise expansion mapping
  • Geographic coverage for USA & Canada

This dataset would support:

  • Lead generation
  • Territory assessment
  • Market penetration strategies
  • Competitor identification

Challenges

Navratri Mega Sale Price Tracking
3.1 QSR Franchise Ownership Data Is Not Uniform

Some QSR chains reveal:

  • Franchisee owner names
  • Multi-unit ownership details
  • Official contact emails

Other chains show only:

  • Store address
  • Phone number
  • Operational hours

Actowiz had to unify irregular data sources.

3.2 Email Addresses Must Be Publicly Available

For compliance, Actowiz only collects:

  • Emails openly published on official listings
  • Emails available on franchisee websites
  • Public business contact emails
  • Emails available through permitted data sources

No private, login-protected, or confidential emails can be included.

3.3 Identifying Franchise vs Corporate-owned Stores

Not all store-level pages mention ownership status. Actowiz had to detect:

  • Franchise-owned
  • Company-owned
  • Multi-franchise groups
  • Area developers
3.4 Large Geographic & Brand Coverage

The client wanted:

  • USA (All states)
  • Canada (All provinces)
  • Multiple QSR brands, including:
    • McDonald's
    • Wendy’s
    • Burger King
    • Popeyes
    • Tim Hortons
    • KFC
    • Domino’s
    • Pizza Hut
    • Subway
    • Starbucks
    • Chick-fil-A
    • Five Guys
    • Dunkin’

Coverage needed to be complete and standardized.

Actowiz Solutions Approach

Actowiz designed a QSR Franchise Ownership & Contact Intelligence Dataset that aggregates:

  • Location information
  • Franchisee ownership metadata
  • Publicly listed contact details
  • Brand-level categorization
  • Store-level operational information

This dataset is updated regularly (weekly/monthly) depending on client needs.

Data Provided in the QSR Franchise Dataset

5.1 Store-Level Data (USA & Canada)

For every QSR unit:

  • Store name
  • Brand
  • Address (full, parsed)
  • City, State/Province, ZIP/Postal Code
  • Phone number
  • Website/Ordering page
  • Latitude, Longitude
  • Opening hours
  • Drive-thru availability
  • Delivery support (UberEats, DoorDash, etc.)
5.2 Franchisee Ownership Data (Where Publicly Available)

Actowiz extracts franchise owner information ONLY if publicly listed via:

  • Company franchise directories
  • Government business registries
  • Franchisee business websites
  • Public LinkedIn business pages
  • Press releases / local business news
  • Chamber of commerce listings

Possible fields include:

  • Owner Name
  • Franchise Group Name
  • Number of Units Owned
  • Public Business Email
  • Public Business Phone
  • Public Contact Form URL
  • Corporate Office Details (if a multi-unit group)

Actowiz does not provide:

  • Private emails
  • Personal email IDs
  • Restricted data

Only publicly accessible business contact information is delivered.

5.3 Additional Business Metadata
  • Franchise type (single-unit / multi-unit owner / corporate-owned)
  • Franchise group profile
  • Year opened
  • Estimated sales volume (if available through public sources)
  • Workforce size indicators (optional)

Sample Data Output (Illustrative Only)

Store-Level Example
Brand Store Name Address Owner Name Email Phone City State
Subway Subway #4821 3921 7th Ave SW FreshEats Franchise LLC info@fresheatsgroup.com (403) 555-2291 Calgary AB
McDonald's McDonald's Store 21245 1800 Richmond Hwy Smith Family Restaurants Inc. contact@smithfranchising.com (703) 555-7810 Arlington VA
Tim Hortons TH #998 5200 Yonge St NorthBrew Holdings admin@northbrew.ca (647) 555-9082 Toronto ON

(Sample values – Not live data)

Business Impact for the Client

7.1 Immediate Franchisee Outreach Readiness

Client could now:

  • Identify franchise owners
  • Contact business groups
  • Start market expansion conversations
7.2 Stronger Territory Planning

Dataset enabled:

  • Heatmaps of QSR density
  • Brand penetration analysis
  • Regional competitive mapping
7.3 Complete Visibility of Multi-Unit Owners

Actowiz identified:

  • Owners with 5+ locations
  • Owners managing multiple brands
  • Regional operators
  • Largest franchise groups in USA + Canada

This helped the client target high-value prospects.

7.4 Sales, BD, and Marketing Optimization

Teams used the dataset for:

  • Outreach campaigns
  • Regional sales planning
  • Brand distribution modelling
  • Market entry analysis

Why Actowiz for QSR Franchise Data?

Actowiz provides:

  • USA + Canada-wide franchise location data
  • Accurate owner/group identification
  • Public email collection from compliant sources
  • High-quality structured datasets
  • Scalable updates (weekly/monthly)
  • API + CSV + Excel delivery
  • Custom filtering by brand, region, or ownership type

We support all major QSR brands across North America.

Conclusion

Actowiz Solutions delivered a complete QSR Franchise Ownership Intelligence Dataset that includes:

  • Store-level location details
  • Public franchise owner names
  • Public business email addresses
  • Franchise group metadata
  • Operational details

This dataset empowers teams in:

  • Market expansion
  • Franchise development
  • Competitive intelligence
  • B2B outreach
  • Regional analysis

Across the entire USA and Canada.

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