The Future of Marketing, Disrupted By Gen AI

GEN AI CON MARKETING

Book Tickets

AGENDA

7:00 - 7:30 - Intersection between Marketing and Generative AI with Tridib Ghosh

9:00 - 9:30 - Leveraging AI for Podcast Creation and Repurposing with Joeri Billast

14:00 - 14:30 - The challenges of AI in Marketing with Margarita Repina

14:30 - 15:00 - Inclusive AI; advancing & equalizing social mobility using Artificial Intelligence with Jamie Bykov-Brett

16:00 - 16:30 - How to utilize AI (Large Language Model) in your company? with Antoni Kozelski

18:00 - 18:30 - AI Advertising in Marketing with Dongwei Li?

18:30 - 19:00 - Marketing & AI with Rifah Nawar

19:00 - 19:30 - The Future of Marketing with Sasha Wallinger

19:30 - 20:00 - The Future Of Experience with Jason Hoffman

20:00 - 20:30 - AI in PESO Marketing: Current Impact and Future Directions with Christopher Ball

Book Tickets

SPEAKER OPPORTUNITIES

Join us as a Speaker at Gen AI Con. Our aim is to reach all industries and verticals - educating, inspiring and promoting the use of Generative AI to transform their organisations and survive in a AI driven landscape. By joining us as a speaker you will signal your expertise, thought leadership and your position when it comes to technology and innovation.

Speaker Opportunities

MARKETING FUNNEL

Generative AI has the potential to transform every stage of the Marketing Funnel.

1. IDEATION

How Generative AI Helps with Ideation

• Brainstorming: Generative AI can rapidly produce diverse ideas and creative directions based on the marketing brief. For example, prompts can be crafted asking ChatGPT to generate 10 social media campaign ideas for launching a new product.
• Market Research: These models can analyze industry trends, competitor campaigns, and consumer data to provide insights for ideation. Prompts can ask for emerging social media trends in the target customer's demographic.
• Copywriting: Generative AI can produce catchy headlines, taglines, and other copy for ideated campaigns. Prompts can provide the campaign concept and have ChatGPT generate headline options.
• Design: While not a replacement for designers, ChatGPT can suggest visual directions and color palettes aligned to a proposed campaign idea.

Feedback: Since these models can evaluate ideas when prompted, they provide an initial filter to refine ideated campaigns. Prompts can ask ChatGPT to review and provide feedback on draft ideas.

Best Practices for Ideation

1. Provide clear goals and brand guidelines to focus the AI.
2. Ask for a diverse range of creative directions rather than just one idea.
3. Leverage the AI as a collaborator - consider its ideas as inspiration.
4. Don't be restricted by the AI's inputs - use them as a creative launch pad.
5. Combine the AI's ideas with human insight for innovative ideation.

With the right prompts and approach, Generative AI can take marketing ideation to new heights. It delivers speed, volume, and creative perspectives that are valuable at this crucial phase.

Book Tickets

2. PRODUCT MARKET FIT

Achieving product-market fit is essential for any new product launch. This involves deeply understanding customer needs and designing a product that satisfies those needs. AI tools can enhance various aspects of attaining product-market fit.

How AI Helps with Product-Market Fit

• Market Sizing: AI can analyze industry data to estimate total addressable market (TAM), helping assess the revenue potential. Prompts can ask for TAM analysis of a product category.
• Competitive Intelligence: AI scrape online sources for info on competitors, their products, and reviews. This reveals gaps/opportunities. Prompts can ask for competitor analysis.
• User Research: AI can generate interview scripts, outreach emails, and analyze call transcripts to uncover user needs. Prompts can produce scripts for user calls.
• Sentiment Analysis: AI can be trained on social media posts, reviews, forums to identify pain points and desires. Prompts can ask for summary of key consumer sentiments.
• Idea Generation: Based on findings from the above, AI can propose new product features or positioning that captures the target market.
• Testing and Iteration: AI can provide feedback on product demos, descriptions to improve messaging and market fit.

Best Practices

1. Use both generative and analytical AI models for balanced insights.
2. Leverage AI to scale research but supplement with direct human engagement.
3. Keep iterating with AI to refine product-market fit based on ongoing learning.
4. Combine AI's data-driven approach with human judgment and creativity.
5. Proactively address AI bias through training on diverse data.

With the right methodology, AI can provide invaluable assistance in understanding markets and customers to build winning products.

Book Tickets

3. PERSONAS

Defining detailed personas is crucial for crafting targeted messaging and positioning. AI tools can help marketers develop data-driven personas efficiently.

How AI Assists with Persona Creation

• Data Collection: AI can analyze surveys, social media, forums to gather demographic, psychographic and behavioral data on customers. Prompts can ask for insights from these sources.
• Segmentation: Machine learning algorithms like clustering can segment collected data into groups with common attributes. Prompts can ask to cluster users based on key metrics.
• Profile Generation: Based on the segments, AI can produce detailed fictional persona profiles reflecting real user data. Prompts can request persona templates for identified clusters.
• Empathy Mapping: AI can generate empathy maps highlighting goals, frustrations, and motivations for each persona. Prompts can ask for empathy maps per persona.
• Channel Strategy: AI can recommend optimal channels and messaging tone for each persona based on analysis of their digital footprint. Prompts can request channel ideas per persona.
• Iteration: Continuously refine personas by feeding AI with new data. Prompt for updates to personas periodically.

Best Practices

1. Supplement AI with direct consumer interviews and ethnographic research.
2. Review AI's persona suggestions critically instead of blindly accepting them.
3. Use both generative and analytical AI models for balanced personas.
4. Include persona details beyond demographics like values, interests, and attitudes.
5. Continuously iterate personas by re-running AI analysis on latest data.

With the right methodology, AI can help discover nuanced personas and ensure messaging resonates with each segment.

Book Tickets

4. STRATEGY

A solid go-to-market strategy is crucial for any product launch. AI tools can help marketers craft data-driven strategies tailored to their offering and audience.

How AI Assists with GTM Strategy

• Market Entry Analysis: AI can review industry data, trends, and news to advise on optimal market entry timing and segments to target first. Prompts can ask for insights on ideal market entry.
• Positioning: Based on competitive intelligence and user personas, AI can suggest effective positioning that differentiates you. Prompts can ask for differentiated positioning ideas.
• Pricing Plan: AI tools can run conjoint analysis on customer survey data to model optimal pricing strategy. Prompts can request optimal pricing framework.
• Sales Plan: AI can propose ideal sales models, channels, and partnerships based on product attributes and buyer journey analysis. Prompts can ask for sales model ideas.
• Promotions Plan: AI can devise integrated promotion strategies across paid, owned, earned channels tailored to personas. Prompts can request owned and paid promotion suggestions.
• Forecasting: AI can build models to forecast sales, revenue, and customer acquisition costs based on analogous data. Prompts can ask for sales projections.

Best Practices

1. Validate AI's strategic recommendations through user testing and expert input.

2. Use AI to rapidly generate multiple viable strategy alternatives.

3. Combine AI's data-driven approach with human judgment for strategy.

4. Continuously refine strategy over time by re-running AI analysis.

5. Ensure strategic alignment across sales, marketing, product teams.

With the right methodology, AI can help design winning GTM strategies tailored to your offering and market. But always supplement it with human creativity.

Book Tickets

AWARENESS

The awareness stage is about grabbing attention and making some noise. AI tools can optimize and automate various awareness-building activities.

How AI Assists with Awareness

• Landing Pages: AI copywriting tools can create compelling headlines, copy, and CTAs for landing pages. Prompts can provide brand tones and goals.
• SEO Content: Generative AI can research topics and produce SEO-optimized articles and blogs at scale. Prompts can specify keyword targets.
• Social Media: AI can generate captivating social media posts tailored to platforms like Facebook, Instagram, etc. Prompts can provide brand guidelines.
• Ad Copy: Tools like ChatGPT can produce effective ad headlines, descriptions and creatives based on campaign goals.
• Video Scripts: AI can develop engaging short video scripts optimized for platforms like YouTube, TikTok, etc.
• Avatars: Generative AI can produce customized avatars for marketing campaigns through detailed prompt engineering.
• Monitoring: AI can track brand mentions, sentiments, influencers across the web to guide awareness activities.

Best Practices

1. Use both generative and analytical AI models for balanced insights.

2. Supplement AI content with human creativity and graphic design.

3. Continuously A/B test AI outputs to refine awareness strategy.

4. Ensure brand consistency across AI generated assets.

5. Leverage AI to free up time for high-value creative tasks.

With the right methodology, AI can significantly boost branding and visibility by producing volumes of engaging marketing assets at scale.

Book Tickets

ACQUISITION

The acquisition phase is about driving traffic and capturing leads through targeted advertising and optimization. AI can assist at various steps of the acquisition process.

How AI Helps with Acquisition

• Ad Copy: Tools like ChatGPT can generate compelling ad headlines, descriptions and creatives based on campaign goals and target audience. Prompts can provide guidelines.
• Ad Testing: AI can rapidly produce variations of ad creatives for robust A/B testing to optimize campaign performance.
• Ad Buying: AI can automate optimal ad placement based on audience insights to get the most relevant reach. AI Demand-Side Platforms (DSP) can optimize buys.
• Landing Pages: AI copy can create highly targeted, personalized landing pages tailored to ad viewers. Dynamic page elements can be A/B tested.
• Lead Scoring: AI can analyze customer data to identify and prioritize high-potential leads for sales teams to focus on.
• Retargeting: AI can determine which site visitors to re-target with ads based on their on-site behavior and likelihood to convert.
• Performance Insights: AI can rapidly analyze ad performance data to detect anomalies and suggest improvements. Prompts can request optimization strategies.

Best Practices

1. Use both generative and analytical AI models for acquisitions.

2. Continuously refine targeting, creatives, and messaging with AI's help.

3. Ensure brand consistency across AI generated ad assets.

4. Validate AI's recommendations through real-world ad performance data.

5. Combine AI's data-driven optimization with human creativity.

With the right methodology, AI can significantly boost the quantity and quality of traffic and leads from acquisition efforts.

ACTIVATION

The activation stage is about converting leads into customers. AI tools can optimize various touchpoints to increase conversion rates.

How AI Assists with Activation

• Conversational AI: Chatbots powered by generative models like GPT-3 can engage visitors and automate sales inquiries.
• Web Personalization: AI can tailor website content and product recommendations for each visitor to boost conversion.
• CRM Integration: Customer data from CRM can help AI bots provide personalized support and recommendations.
• Copywriting: AI tools can optimize on-site content like product descriptions for relevance and conversion.
• Multi-variant Testing: Generative AI can rapidly create multiple variations of web content to A/B test performance.
• Lead Scoring: AI analyzes customer data to identify high potential leads for sales team to focus on.
• Customer Service: AI bots can handle common customer service queries to improve experience. Humans can handle complex issues.
• Upselling/Cross-selling: Based on purchase history, AI can recommend complementary or higher-end products to increase order value.

Best Practices

1. Validate AI content through user testing before deployment.

2. Use both generative and analytical AI models.

3. Ensure brand consistency across all touchpoints.

4. Continuously gather customer feedback to improve AI models.

5. Set up rigorous testing protocols for AI bots before going live.

With the right methodology, AI can create hyper-personalized experiences to convert visitors into paying customers. But always have humans handle sensitive tasks.

Books Tickets

RESOURCES

Marketing Tools

MARKETING ACADEMY

Schedule a Call

CONTACT US

Please contact us if you would like to discuss our Generative AI Events, Training, Innovation Program or Agency.

Schedule a Call