In the dynamic world of digital marketing, understanding how potential customers interact with content across different stages of their journey is crucial for crafting effective strategies. The "Content Funnel Segmenter App" is a tool designed to help in this regard, by categorising website content into top of the funnel (TOFU), middle of the funnel (MOFU), and bottom of the funnel (BOFU) stages.
This Moonlit app aids in pinpointing the role each piece of content plays in guiding the buyer from awareness to decision-making. It uses a combination of techniques to analyse content distribution, including parsing sitemaps for URL collection, scraping web pages for company summaries, and employing language models for content classification. This article explores how the app works, focusing on its approach to segmenting content and the insights it provides for businesses looking to refine their content strategy.
Try it out here
You can also clone this app to your project to extend its functionality and edit configurations and prompts.
The Content Funnel Segmenter App simplifies the categorization of website content into the stages of the buyer's journey: TOFU (Top of the Funnel), MOFU (Middle of the Funnel), and BOFU (Bottom of the Funnel), using AI. Here’s a streamlined breakdown of its structure.
1. URL and Company Data Retrieval:
2. Content Classification:
3. Data Organization:
Achieving accurate segmentation required addressing the subjective nature of content classification. Input from content strategy experts and iterative testing with diverse examples have refined the process, yielding reliable results.
I reached out to Lee Densmer, an expert in the field of content strategy and she generously offered her help in refining the prompt and assessing the results. This validated the app's utility in enhancing content strategy through detailed funnel stage analysis.
Addressing the subjective aspects of content segmentation has been a central challenge in developing the Content Funnel Segmenter App. However, the journey has led to rewarding outcomes. The insights garnered from the app enable a more nuanced approach to content strategy. Key applications of this data include:
Ultimately, the success of this project lies in its ability to bring clarity to the often complex and nuanced task of content categorization. By harnessing the power of AI to dissect and categorise content, the app offers a practical solution for businesses aiming to optimise their digital content and align it more closely with their audience's needs and their marketing objectives.
Mohammad is a full-stack developer, and the founder of Moonlit Platform. He holds a Bachelor's degree in Computer Science & Artificial Intelligence, and is committed to continuous learning and skill enhancement. His journey is marked by a steadfast dedication to developing and delivering exceptional product experiences.