Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

• 🚨 AI Top Story: Discover how OpenAI’s Sora is redefining video creation and raising ethical questions
  📊 AI Use Case of the Week: Learn how to use AI to supercharge your LinkedIn lead generation and engagement strategy.

• 🎯 Killer Marketing Prompt: Unlock the power of impactful storytelling - create blog posts that captivate your audience, solve their pain points, and position your brand as a leader in your industry!

• 🌟 Creator Spotlight: Meet Jonathan Parsons, an acclaimed LinkedIn Creator reshaping the way businesses approach marketing with cutting-edge insights.

AI Video Generation May Now Be Too Powerful

OpenAI Introduces SORA - But Is The World Ready?

On December 9th, OpenAI launched Sora, a cutting-edge AI tool that transforms text prompts into hyper-realistic video clips. With the ability to produce visuals in up to 1080p resolution, users have been stunned by its potential to revolutionise video creation. From generating videos to animating images and remixing content, Sora empowers creators with an unmatched level of control and creativity.

However, Sora’s realism has raised significant concerns. Critics warn that its powerful capabilities could be exploited for deepfakes, impersonation, and other harmful purposes. To address these risks, OpenAI has restricted Sora’s ability to depict realistic human figures to a limited group of testers.

OpenAI acknowledges these risks but believes that releasing Sora will allow for broader testing and improvement of its safety measures. The company is actively working to refine safeguards and ensure responsible use of the tool.

Currently available to ChatGPT Plus and Pro subscribers, Sora is not accessible in the European Union, Switzerland, or the UK due to regulatory challenges. OpenAI plans to expand access with tailored pricing tiers expected next year.

The launch of Sora represents a significant step in AI technology, offering new possibilities for content creation while highlighting the ongoing challenge of balancing innovation with ethical responsibility.

🎥 Agoda Launches AI-Generated Film To Celebrate Global Exploration - Travel reimagined with AI-powered storytelling

🧠 Marketers Discuss Using AI Beyond Content Creation - Marketers explore AI’s broader role in strategy and customer insights.

🛍️ How AI Is Enhancing Holiday Retail Without Shoppers Knowing - AI improves holiday shopping through personalisation and hidden tools.

🤖 A Creative Debate at Brandweek 2024 about the future of AI in Marketing - Brandweek 2024 examines AI’s evolving role in shaping creative campaigns.

Jacquard

JACQUARD (formerly known as Phrasee) is a leading AI-powered platform that specialises in generating and optimising brand messaging across multiple marketing channels. Known for its ability to scale personalised, on-brand content, Jacquard empowers enterprise marketers to create contextually relevant campaigns that drive engagement and conversions.

Here are some of its key features:

• AI-Generated Messaging: Jacquard crafts tailored email subject lines, social media posts, push notifications, and more, ensuring every piece of content aligns with your brand’s voice.

• Personalised Campaigns: The platform automates the creation of marketing messages tailored to individual consumers, enabling personalisation at scale for enhanced customer engagement.

• Performance Prediction: Jacquard uses predictive algorithms to analyse and score content performance, helping marketers make data-driven decisions to maximise campaign results.

• Multichannel Optimisation: Create consistent messaging across various channels, including email, social media, and SMS, ensuring a unified brand presence.

• Continuous Experimentation: Integrated with tools like MessageGears, Jacquard facilitates ongoing testing and refinement of campaigns to identify and implement the best-performing language.

• Enterprise-Grade Scalability: Trusted by major global brands like Sephora, Sainsbury’s, and TUI Group, Jacquard delivers solutions that meet the needs of high-volume, high-impact campaigns.

JONATHAN PARSONS - 10 Ways To Use ChatGPT Vision For Marketing

AI-POWERED LINKEDIN LEAD GENERATION & OUTREACH

Tools Needed:

PhantomBuster
Google Sheets
Hunter.io
ChatGPT (GPT-4 Turbo)
HubSpot CRM

Step 1: Scrape Leads from LinkedIn

What to Do:

1) Use PhantomBuster’s LinkedIn Search Export to scrape targeted leads based on filters such as:

- Job Title (e.g., Marketing Managers, CTOs).
- Industry (e.g., SaaS, Fintech).
- Location (e.g., North America, Europe).

2) Configure PhantomBuster to extract key data, such as:

- Name
- Job Title
- Company Name
- Location
- LinkedIn Profile URL

3) Export the scraped data into a CSV file and open it in Google Sheets for organisation.

Step 2: Enrich The Data

What to do:

1) Use Hunter.io to enrich the data by finding missing contact details, such as verified email addresses.

2) Organise the enriched data in Google Sheets with columns like:

- Name
- Job Title
- Company
- LinkedIn Profile URL
- Email Address
- Industry

3) Add a column for "Lead Priority" to classify leads into categories:

- High Priority: Decision-makers or highly engaged profiles.
- Medium Priority: Relevant roles but less activity.
- Low Priority: Less relevant or incomplete profiles.

Step 3: Input Data into HubSpot

What to do:

1) Open HubSpot CRM and navigate to the Contacts section.

2) Import the enriched data as a CSV file:

- Map fields such as Name, Job Title, Email, and LinkedIn Profile URL to corresponding fields in HubSpot.
- Use the "Lead Priority" column to tag leads for segmentation.

3) Create lists in HubSpot based on lead categories (High, Medium, Low Priority).

Step 4: Craft Outreach Strategies with ChatGPT

What to do:

Open ChatGPT (GPT-4 Turbo) and input a summary of your lead segments:

Sample Prompt:

"Here are three lead segments from LinkedIn:

- High Priority: CMOs in SaaS companies with LinkedIn activity and email addresses.
- Medium Priority: Marketing Managers in Fintech, low LinkedIn engagement.
- Low Priority: Analysts in eCommerce, incomplete data.

For each segment suggest:

- LinkedIn connection request templates.
- Email outreach templates for those with emails.
- Follow-up strategies for improving response rates"

Step 5: Automate Outreach on LinkedIn and Email

What to do:

1) Use HubSpot CRM to send personalised email sequences to leads with verified email addresses:

- Insert ChatGPT-generated email templates.
- Set automated follow-ups based on engagement.

2) For LinkedIn outreach:

- Use ChatGPT’s connection request templates to send personalised invites via LinkedIn.
- Once connected, send follow-up messages using ChatGPT’s recommendations.

3) Track responses and engagement in HubSpot to prioritise follow-ups.

Step 6: Monitor Performance and Optimise

What to Do:

1) Use HubSpot’s analytics to track:

- Email open rates
- Reply rates
- Conversion rates

2) For LinkedIn, monitor acceptance and reply rates manually or use tools like Sales Navigator to track engagement.

3) Input updated performance data into ChatGPT for recommendations:

Sample Prompt:

"LinkedIn connection requests had a 50% acceptance rate, but follow-up messages only resulted in 10% replies. Suggest adjustments to improve reply rates and engagement"

Comprehensive Blog Post Creation Strategy

You are a content strategist tasked with creating a high-value blog post for [business name] that engages the target audience and positions the brand as an authority in the [specific industry].

Your goal is to develop a blog post that provides actionable insights, resonates with the intended audience, and drives traffic to [business name]’s website.

Start by defining the blog post’s purpose and audience. Identify the key questions or pain points the post should address and explain why the topic is relevant to the target audience. Specify the tone and style that aligns with [business name]’s branding, such as professional, conversational, or educational.

Outline the blog structure with clear headings and subheadings. Begin with a compelling introduction that hooks the reader by addressing their needs or interests. Use the main body to provide actionable advice, industry insights, or step-by-step guides. Conclude with a strong call-to-action (CTA) that encourages the audience to engage further, such as exploring related resources or trying [business name]’s product/service.

Generate ideas for incorporating multimedia elements like data visualizations, quotes, or short stories to make the blog post more engaging and informative. Highlight how these elements should support the narrative and provide additional value to the reader.

Suggest ways to optimize the blog post for search engines, including identifying relevant keywords, crafting a meta description, and using internal and external links. Ensure the post is skimmable with short paragraphs, bullet points, and highlighted key phrases.

Finally, propose a strategy for promoting the blog post, such as sharing it on LinkedIn, including it in an email newsletter, or repurposing its content for shorter LinkedIn posts or infographics.

This blog post strategy should showcase [business name]’s expertise while driving audience engagement and website traffic.