[seopress_breadcrumbs]

Podcast #34 – Facebook Marketing for Startups Featuring Justin Brooke

•

February 23, 2014

Podcast #34 - Facebook Marketing for Startups Featuring Justin Brooke

In this episode, I interview Justin Brooke, Founder of IMScalable and renowned Media Buyer & Consultant. Justin talks about his strategies for setting up Facebook campaigns & implementation tips for Startups to effectively leverage Facebook ads to scale their customer base and revenue.

Advice for Your First Facebook Campaign?

Justin Brooke says: On Your First Facebook Ad Spend -“Play with Money You’re Not Afraid to Lose and Learn as Much As You Can on that First Spend…You want to know which ad is working best, which headline, which image, which landing page converts the best.”

Listen to this Entire Interview – Facebook Marketing for Startups

Recommended from Emerj

Emerj: Building Readiness for AI Agents in Healthcare Systems - Raheel Retiwalla

Building Readiness for AI Agents in Healthcare Systems – with Raheel Retiwalla of Productive Edge

This interview analysis is sponsored by Productive Edge and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Burnout among hospital staff, particularly nurses and physicians, has reached critical levels. A report by the Center…

Riya Pahuja

•

May 8, 2025

Neurobiological and Cybernetic AI for Manufacturing, Part 2 – with Oleg Savin of Unilever

In our current technology-driven era, data is considered extremely valuable. Yet, data often goes unused or underutilized. The reasons vary, but it's certainly not a newly surfaced problem. An article initially published by Harvard Business Review highlights that organizations struggle with managing and analyzing existing data. This problem is more pronounced in manufacturing, where unused…

Sharon Moran

•

May 5, 2025

Artificial Intelligence at Charles Schwab – Two Use Cases

The Charles Schwab Corporation is a leading financial services firm, reporting $10.28 trillion in client assets as of February 2025, a 16% year-over-year increase. In Q4 2024, the company generated $5.3 billion in net revenues (up 20% year-over-year) and $1.8 billion in net income, resulting in $0.94 EPS. Core net new assets reached $114.8 billion…

Riya Pahuja

•

April 28, 2025

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

The landscape of preventative healthcare and genetic research is "awakening" with data, enabling earlier and more precise disease risk prediction. The evolution is particularly critical as the healthcare industry shifts from reactive treatment to proactive care. Integrating advanced capabilities with genomic data allows researchers and clinicians to analyze vast numbers of genetic variants, providing more…

Emily Smith

•

April 21, 2025

Artificial Intelligence at Foxconn – Two Use Cases

Foxconn, officially Hon Hai Precision Industry Co., Ltd., is a multinational electronics contract manufacturing company headquartered in Taiwan. Founded in 1974, it is renowned for producing consumer electronics for major companies like Apple, Microsoft, and Amazon. As of 2023, it employed approximately 90,221 people globally and reported an estimated annual revenue of $4.1 billion. The…

Riya Pahuja

•

April 14, 2025

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

AI is transforming the insurance industry from reactive claims processing to proactive risk management. Rising competition from fintech and insurtechs and growing consumer demands for personalized, real-time experiences are driving such widespread industry adoption. Academic research highlights how insurers are increasingly using digital technologies and behavioral data to personalize services and influence customer behavior, underscoring…

Emily Smith

•

April 7, 2025

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

Transparency in AI is a major hurdle for businesses, particularly in the financial services industry. Generative AI (GenAI) models, particularly non-deterministic models, are often viewed as “black boxes,” making it difficult to understand the underlying decision-making processes. Due to this black box risk, banks can experience multiple types of AI incidents, including system glitches, data…

Sharon Moran

•

March 31, 2025

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

This article is sponsored by NLP Logix and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Event Title: AI Collaborate 2024 Event Host: NLP Logix Location: Florida, USA Date: November 19-20, 2024 What Happened…

Riya Pahuja

•

March 26, 2025

Artificial Intelligence at Aflac – Two Use Cases

Aflac is a global leader in supplemental health and life insurance, providing financial protection to over 50 million policyholders in the U.S. and Japan. In 2023, Aflac reported an annual revenue of $18.7 billion. With approximately 12,785 employees worldwide, Aflac continues to drive innovation in cancer and medical insurance. Although Aflac's total investment in AI…

Ashwin Telang

•

March 24, 2025

Neurobiological and Cybernetic AI for Manufacturing, Part 1 – with Oleg Savin of Unilever

Modern manufacturing stands to benefit from integrating AI. From improving efficiency and productivity by automating repetitive tasks to reducing unplanned downtime and cutting down on repair costs through predictive maintenance, the potential benefits are numerous. However, integrating AI in manufacturing is not without challenges. A 2019 article for the journal Engineering from the Chinese Academy of…

Sharon Moran

•

March 10, 2025

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

This interview analysis is sponsored by BenchSci and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. The intricate nature of biological systems significantly complicates drug development. Diseases often involve complex interactions among genes, proteins,…

Riya Pahuja

•

March 4, 2025

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

Mobile technology, including smartphones and wearable devices, collects health-related data such as physical activity metrics (e.g., step counts, heart rate), sleep patterns, and self-reported health information through surveys and applications. A 2022 research paper from Stanford University shows how these data enable AI systems to monitor health trends, predict potential health issues, and personalize healthcare…

Riya Pahuja

•

March 3, 2025

Search site

Search site

Podcast #34 – Facebook Marketing for Startups Featuring Justin Brooke

Recommended from Emerj

Building Readiness for AI Agents in Healthcare Systems – with Raheel Retiwalla of Productive Edge

Neurobiological and Cybernetic AI for Manufacturing, Part 2 – with Oleg Savin of Unilever

Artificial Intelligence at Charles Schwab – Two Use Cases

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

Artificial Intelligence at Foxconn – Two Use Cases

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

Artificial Intelligence at Aflac – Two Use Cases

Neurobiological and Cybernetic AI for Manufacturing, Part 1 – with Oleg Savin of Unilever

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

Customize Your Experience

Podcast #34 – Facebook Marketing for Startups Featuring Justin Brooke

Share article

Subscribe to updates

Recommended from Emerj

Building Readiness for AI Agents in Healthcare Systems – with Raheel Retiwalla of Productive Edge

Neurobiological and Cybernetic AI for Manufacturing, Part 2 – with Oleg Savin of Unilever

Artificial Intelligence at Charles Schwab – Two Use Cases

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

Artificial Intelligence at Foxconn – Two Use Cases

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

Artificial Intelligence at Aflac – Two Use Cases

Neurobiological and Cybernetic AI for Manufacturing, Part 1 – with Oleg Savin of Unilever

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

This Content is Exclusive to Emerj Plus Members

In-Depth Analysis

Exclusive AI Capabilities Matrix

Exclusive AI White Paper Library

Best Practices and executive guides

Register

Customize Your Experience