How B2C marketers can leverage new marketing insights with generative AI If you’re a B2C marketer or brand manager, learning what gen AI can do is a crucial step to staying ahead of the curve. ahead of your competitors in a saturated market.
1. Learn about the state of generative AI in marketing B2C marketers say implementing consumer insights into decision-making is a major challenge. Here are some common barriers to knowledge-based decisions:
● Siled data: Internal silos and poor integration hamper data availability.
● Data volume: Managing the exponential growth of customer data is a challenge for many teams.
● Lack of accessibility: Information is often not available when it is needed, hampering decision-making. But generative AI is poised to change that. A Harvard Business School study shows that generative AI can help people complete marketing tasks 21.2% faster and with 40% higher quality. Companies that successfully implement AI for personalization report up to 40% higher revenue growth, shares MicKinsey. Finally, a WARC study indicates that 58% of marketers in the United States expect the task of analyzing market data to change the most thanks to generative AI.
2. Discover the Benefits of Proprietary AI Insights for Marketing While generic tools like ChatGPT are accessible, they cannot provide the differentiated advantage you need in today’s competitive B2C landscape. B2C marketers need specialized AI assistants, directly connected to your company’s first-party data, to get personalized and trusted insights. A purpose-built, specialized generative AI assistant like DeepSights™ leverages natural language processing (NLP) to synthesize data at scale. Then, it uses a generational AI technique called Retrieval-Augmented Generation (RAG) to harness the power of Large Language Models (LLM) along with your organization’s proprietary data. This leverages trusted, organization-specific data sources to gain a deeper understanding of customer behaviors, which you can then share with a one-click report. Additionally, when generative AI tools are integrated with Microsoft Teams and Google Chat, organizations can create a seamless flow of information that eliminates data silos and provides the market insight needed to drive winning strategies.
3. Discover real-world use cases for generative AI in marketing workflows With Generation AI, brand managers and marketers like you can effectively leverage AI-driven insights to banish brand fatigue and refresh marketing concepts with unique themes in sync with customer preferences.
● Use Case: Insights-Driven Opportunity Identification Scenario 2: A kitchen appliance brand was looking to increase sales of espresso machines amid economic uncertainty. By asking their generative AI assistant about emerging consumer trends, they discovered a “treat culture” on social media, where consumers treat themselves to small luxuries despite tighter budgets. The insights identified an opportunity to position their machines as an affordable luxury for barista-quality coffee at home.
Armed with this information, the brand manager reframed their campaign to reflect self-care and affordability, directly appealing to cost-conscious consumers looking for quality specialty drinks. Get the full use cases, with a step-by-step breakdown of how to leverage generative AI in our latest guide, How B2C Marketers Can Harness New Insights to Drive Better Results in the Age of generative AI.
You want to know more ? We’ll be stopping by the Data, CRM and Insights stage at 11:40 a.m. on day one to talk about “Unlocking New Consumer Insights in Marketing with Gen AI”
On the second day, we join the 10:45a panel on AI and marketing automation: “Panel: From personalization to productivity – how to use AI in your marketing strategy”
Do you want to talk to us in person? Stop by booth 157 to say hello to the MarketLogic Software team!
