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A selective research initiative for businesses willing to test, measure, and share outcomes.
Applied Digital Marketing & AI Research Program
This is a controlled, applied research program led by Garrett Hall. It exists to study how digital marketing systems actually perform when AI tools are introduced under real business constraints.

Clarify Who This Is For (and Who It Is Not)

This research is designed for organizations that:

  • Are actively running digital marketing, not planning to start

  • Can allocate 5–10 hours per week for 12 weeks

  • Are willing to operate under documented constraints

  • Can share anonymized before-and-after performance data

  • Want insight, not execution support

This is not for organizations that:

  • Want tool training or certifications

  • Are looking for free consulting or setup

  • Are not currently investing in marketing

  • Cannot share performance data, even anonymously

This single section will eliminate 60–70% of low-quality applicants.

Apply for Research Consideration

Program Overview

Participants operate their own marketing under a structured research framework.

The program observes how AI alters:

  • Decision quality

  • Execution efficiency

  • Measurement clarity

  • ROI consistency

The output is research insight, not participant deliverables.

Participants receive:

  • A documented campaign framework

  • Structured feedback checkpoints

  • Access to aggregated research findings

  • A post-program system-level summary

No execution is performed on your behalf.

What Participants Gain

  • A clearer understanding of what actually drives results in their system

  • Evidence of where AI helps and where it does not

  • A documented marketing decision framework

  • Research-backed insight applicable beyond the program

This is about decision quality, not growth promises.

Tools Used in the Research (Non-Exhaustive)

Specific tools vary by participant and research question. The focus is on process impact, not tool promotion.

  • AI-assisted strategy and planning

  • AI-supported content systems

  • Search and visibility optimization

  • Paid media decision support

  • Measurement, attribution, and automation

Tools are selected based on research relevance, not popularity.

Research Focus Areas

Includes:

  • Strategy formation under constraint

  • Owned, earned, and paid channel interaction

  • Funnel instrumentation and signal quality

  • Iteration and optimization loops

Details vary by participant.
The framework is consistent.
The execution context is not.

Prior Research-Based Learning Outcomes

Testimonials reflect prior applied research and academic programs. They are not guarantees of business outcomes.

"The research course has been phenomenal. It has been a fantastic resource for us as a small business. We are far better positioned with our digital marketing strategy and tactics than we were prior to taking part in the program. The course covers a wide range of digital marketing topics including SEO, paid advertising, and social media strategies. I highly recommend the course for any small business owner who is serious about their marketing."
Deepa Tailor
Tailor Law
"I own a tutoring business in Brampton with brick-and-mortar locations and pivoted to online tutoring during the pandemic. The main problem with any small business is the funds. We are not able to compete with big brands and companies due to a lack of funds and resources. But by learning and using digital marketing tactics smartly, it helps in this endeavour. The course taught me that creativity and initial research is the big factor in this happening. We can compete with any form of business whether it’s a large scale or small scale and grab eyeballs from their audience as well."
Sapna Aggarwal
Springdale Brampton Learna
"Content on strategic marketing and tactics helped me to get a better understanding of how to get more out of the time, money and content I was investing into the growth of my organization. From the learning, discussion and supporting workbooks, I have a clearer path on why some of my digital marketing tactics succeeded before and now I have clarity on which of the marketing practices have the best fit and ROI for me and how to implement effectively to deliver value for my community and navigate the digital landscape."
Zahra Qureshi
Social Venture Circuit

Apply To The Digital Marketing & AI Research Program

This is a selective applied research program for businesses actively running digital marketing and willing to test how AI impacts real performance.

Participation is limited and based on research fit, data readiness, and the ability to operate within a structured research framework. This is not a course, not consulting, and not guaranteed admission.

Applicants selected will participate in a time-bound research initiative focused on marketing decision quality, execution efficiency, and measurable outcomes.

Submission does not guarantee participation. Applications are reviewed on a rolling basis.

Apply for Research Consideration

Led by Garrett Hall (view profile)

DIGITAL MARKETING RESEARCH FAQ

This is an applied research initiative funded through academic and industry partnerships.
Participants are contributing time, data, and operational access in exchange for research insight. The value exchange is learning and system-level clarity, not deliverables or consulting services.

This is an intermediate to advanced program.
It is designed for businesses and professionals already running digital marketing campaigns who want to evaluate performance, decision-making, and AI impact under real conditions.

This is not suitable for beginners or those looking for foundational training.

Applicants must be willing to share anonymized marketing and business performance data, typically including:

  • Website traffic and conversion data

  • Campaign-level performance metrics

  • Channel mix and budget ranges

  • Before-and-after snapshots during the research period

No confidential or personally identifiable customer data is required.

Participants should expect to spend 5 to 10 hours per week over approximately 12 weeks.
This time is spent planning, executing, measuring, and iterating on their own marketing activities within the research framework.

No work is completed on your behalf.

To be considered, applicants must:

  • Have an active website and live digital marketing activity

  • Allocate sufficient time and internal ownership

  • Commit to a defined marketing budget during the research window

  • Agree to share anonymized performance data

  • Be open to operating within a structured research framework

Participation is selective and based on fit.

The research examines how AI tools and systems affect marketing decision quality, execution efficiency, measurement clarity, and ROI when applied in real business environments.

The focus is on process and outcomes, not tool demonstrations or templates.

Not all applicants are accepted.
If your business is not selected, you may still be eligible for future research initiatives or other DigitalMarketingResearch.ca programs. Submission does not guarantee participation.

Sessions and materials are delivered using standard online collaboration tools.
Specific platforms may vary by cohort and research format.

This is not a self-paced course platform.

The research is led by Garrett Hall, Professor of Digital Marketing and founder of DigitalMarketingResearch.ca, with extensive experience in applied digital marketing, analytics, and AI-driven strategy across academic and real-world business environments.

Guest contributors may participate depending on the research focus.

Instructor background and credentials are available on the About section of DigitalMarketingResearch.ca and through published research, case studies, and applied projects referenced across the site.

All data is handled responsibly and used only in anonymized, aggregated form for research analysis.
No individual business data is publicly disclosed, sold, or shared without explicit permission.

This research program is separate from paid audits, strategy engagements, and consulting services.
Participation does not create any obligation to purchase services now or in the future.

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