To address Parsley & Twine’s challenge of converting website visitors into engaged, high-quality leads, a range of AI-powered marketing tools was explored. As a digitally-led brand with a strong emphasis on aesthetic experience and curated products, it is essential that any technological solution enhances rather than disrupts the customer journey (Lemon & Verhoef, 2016). AI tools offer the opportunity to personalise interactions at scale, streamline the user experience, and provide valuable insights into consumer behaviour (Wedel & Kannan, 2016).  These tools were selected following an evaluation of accessible, free or trial-based AI marketing platforms, with a focus on their suitability for small businesses and their ability to enhance both customer experience and lead generation. This reflects the increasing role of AI-driven personalisation in digital marketing, where tailored interactions are used to improve customer engagement and  conversion rates (Bleier et al., 2019). The following section evaluates three key tools, Landbot, HubSpot Free CRM, and Google Analytics, assessing their relevance to the brand’s objectives and their potential to support lead generation.

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Landbot is a no-code AI chatbot builder that enables brands to create conversational, interactive experiences directly within their website. Its key advantage is its capacity to simulate human-like interactions through structured conversation flows, making it particularly effective for guiding users through decision-making processes (Huang & Rust, 2018). Features such as conditional logic, personalised pathways, and integrated lead capture forms allow businesses to tailor the user journey based on individual preferences (Bleier et al., 2019). For Parsley & Twine, this is especially valuable, as its target audience often seeks inspiration and reassurance before making a purchase. Landbot enables the creation of a guided shopping experience that reduces decision fatigue and mirrors the personalised service typically found in-store (Iyengar & Lepper, 2000). While Landbot offers strong functionality, its effectiveness depends heavily on its design quality. Poorly structured conversations may feel robotic or intrusive, potentially disrupting the brand’s premium and considered aesthetic (Lemon & Verhoef, 2016). Therefore, careful attention must be paid to tone, pacing, and visual integration.

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In addition to customer interaction, managing and nurturing leads is a critical component of the marketing process. HubSpot Free CRM provides a centralised system for storing and organising customer data, enabling businesses to track interactions and build ongoing relationships (Payne & Frow, 2017). Its AI-supported features, such as automated email responses and contact segmentation, allow for more personalised and timely communication (Wedel & Kannan, 2016). When integrated with a chatbot like Landbot, HubSpot can capture user information and facilitate follow-up marketing activities, such as tailored email campaigns or product recommendations (Bleier et al., 2019). This is particularly relevant for Parsley & Twine, where customers may require time and inspiration before completing a purchase. However, the free version of HubSpot does present limitations, particularly in terms of advanced automation and customisation, which may restrict scalability as the business grows. Additionally, effective use of the platform requires consistent data input and management to ensure accuracy (Verhoef et al., 2021).

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To further support decision-making and optimise performance, Google Analytics was explored as a tool for tracking and analysing user behaviour. Google Analytics offers in-depth insights into how users engage with a website, including metrics such as bounce rates, session duration, and conversion pathways. Its AI-driven features, including predictive metrics and audience segmentation, enable businesses to identify patterns and anticipate user behaviour (Shankar, 2021). For Parsley & Twine, this data is essential in understanding how customers engage with the website and where potential drop-off points occur. For example, it can be used to evaluate whether users who interact with the chatbot are more likely to convert into leads, providing measurable evidence of its effectiveness. However, while Google Analytics offers powerful insights, it can be complex to interpret, particularly for users without technical expertise. As such, its value is dependent on the ability to translate data into actionable marketing decisions (Wedel & Kannan, 2016).

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When comparing these tools, it becomes clear that each serves a distinct but complementary role within the marketing strategy. Landbot focuses on front-end engagement, enhancing the customer experience and facilitating real-time interaction, while HubSpot Free CRM supports back-end processes by enabling the storage, organisation, and nurturing of leads once they have been captured. Meanwhile, Google Analytics provides a performance measurement function, offering data-driven insights that inform ongoing optimisation. This integrated approach reflects a broader strategic shift towards data-driven marketing ecosystems, where multiple AI tools work together to enhance both customer experience and business outcomes (Verhoef et al., 2021). However, the effectiveness of this approach is dependent on successful implementation and data consistency across platforms, as poorly managed integrations may result in fragmented customer experiences and reduced overall efficiency (Wedel & Kannan, 2016).

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In conclusion, the exploration of these AI marketing tools demonstrates the value of integrating technology across multiple stages of the customer journey (Lemon & Verhoef, 2016). While HubSpot and Google Analytics provide essential support in managing and evaluating performance, Landbot offers the most impactful solution for transforming the initial user experience. As such, it forms the foundation of the proposed AI-driven strategy, enabling Parsley & Twine to engage users more effectively, build confidence in purchase decisions, and ultimately generate higher-quality leads (Huang & Rust, 2018). This evaluation directly informs the development of Bloom, a tailored AI-powered retail assistant designed to leverage these technologies in a cohesive and brand-aligned way.