The challenge for brands today is staying relevant as new digital touchpoints develop within a fast-moving environment, where 80% of consumers anticipate some level of personalization. By using machine learning to comb through large sets of consumer data, Muah AI allows companies to customize brand messaging to contextualize current industry and target audience demands. A 2022 report from McKinsey reveals that brands leveraging AI-based personalization experience a composite uplift in customer engagements of 10-30%, which is by far the most vital factor for competition in brand loyalties across oversaturated markets.
New and established brands should stick to the same tone and style on each platform. The natural language processing (NLP) capabilities of Muah AI allow companies to create on-brand content across all channels while staying true to their unique voice. Moreover, this consistency reinforces the memory of your brand, which is decisive for 70% of consumers when making a purchase. Coca-ColaReuters For instance, Coca-Cola uses AI-powered campaigns to deliver a single unified message across social media, advertising and e-commerce, leaving no stone unturned in engaging customers and developing its corporate identity globally.
Muah AI also discovers sentiment for brands at real-time. Muah AI also tracks changes in customer preferences by monitoring social media trends, reviews, and feedback helping the brands to modify branding strategies. Research conducted by Forrester found that businesses who track customer sentiment experience 15% higher customer retention rates. Thanks to this sentiment analysis, brands can remain proactive and adjust quickly to change consumer perception to avoid getting outpaced by competitors.
Branding will not only be affected by Gen-AI on the messaging front alone. That also impacts the visual, product placement and even pricing strategies that define a brand in the market. Muah AI then analyzes how consumers respond to different things and helps brands improve the overall persona of the brand. For example, Nike uses AI to understand consumer preferences and design products and advertisements that appeal more strongly to their target audiences than otherwise possible—the result being a 20% better ROI on campaigns.
Brands are a reflection of their human-oriented systems, and with AI predictive abilities will shape trends in behavior and purchase decisions that can guide the positioning strategy. Analyzing industry trends, consumer preferences and competitor actions, Muah AI algorithms assess data to predict future brand strategies. Brands utilizing trend prediction with AI were 2.5x more likely to succeed in launching relevant campaigns, according to a survey from Adobe. Like AI tools that can anticipate the rise of specific trends in beauty, such as “clean beauty” or “sustainability,” the message can be adjusted and laid claim to early on by brands so a first-mover advantage is provided.
The famous marketer Seth Godin said it best when he stated:A brand is the set of expectations, memories, stories and relationships that, taken together, account for a consumer’s decision to choose one product over another. Aligned with this, Muah AI helps brands create these stories using data-based insights that evoke their customers’ emotions, expectations and ever-changing needs. Not only does AI play an integral role in monitoring trends, it has also helped to form the narrative giving rise to memorable and authentic brand experiences.
Furthermore, muah ai makes it possible for brands to save their ad media dollars in a smarter way by targeting only those who are more likely to respond almost instantly, based on data. Since they waste less on ad spend, brands can also reap a larger return on investment (ROI) and spend more to hone up their brand strategy, as well as cultivate deeper consumer relationships in a rapidly changing field.