Pitchmark

AI-Powered Marketing Pitch Creation

Industry

Marketing

Project Duration

In progress

Location

US

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Problem

Manual Digital Marketing Pitch Creation Process

Pitchmark is a digital marketing agency that traditionally relied on a manual process to craft personalized marketing pitches for various companies. Their approach involved tailoring pitches based on factors such as company niche, competitive landscape, SEO performance, social media presence, and paid advertising. This manual process required extensive research and data collection, all of which was meticulously recorded in Excel spreadsheets.

 

To streamline their workflows and automate these labor-intensive tasks, Luke partnered with Tezeract to implement an advanced Automated Marketing Pitch solution. This solution is designed to streamline the creation of marketing pitches by leveraging AI to gather and analyze data on target companies.

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Solution

AI-powered solutions that will automatically create tailored digital marketing pitches for companies.

Luke approached Tezeract to automate Pitchmark’s manual marketing pitch creation process. As specialists in AI-driven solutions for branding agencies, we quickly identified Pitchmark’s key challenges and worked closely with their team to streamline their processes and create a marketing pitch automation tool.

 

Our goal was to understand how Pitchmark created their marketing pitches and the specific parameters they needed to include. Based on this understanding, we developed an automated solution that customizes marketing pitches for each target company.

 

Our AI-powered pitch automation system performs several key tasks:

 

  1. Data Collection: The AI scraper gathers essential information such as company name, industry theme, competitors, SEO keywords, and social media performance.
  2. Data Enrichment: The collected data is processed by GPT-4.0 to enhance and verify the information.
  3. Pitch Creation: The enriched data is then automatically inserted into a pre-designed document template, creating a tailored marketing pitch.

 

This AI-powered marketing pitch automation significantly reduces manual effort and speeds up the process. As a result, Pitchmark’s team can focus on more critical tasks, such as engaging directly with leads, while our solution handles the repetitive aspects of digital marketing pitch automation.

 

Our AI Marketing case study highlights how our solution has successfully streamlined marketing processes and enhanced efficiency for Pitchmark through automated marketing pitch creation.

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What tech stack do we use for the AI success stories in business automation?

Leveraging Pitchmark with Our Cutting-Edge Artificial Intelligence Tech Stack

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Pitch Mark Tezeract

The Challenge

Creating an AI system that accurately collects and analyzes diverse data—such as company niche, competitors, SEO performance, social media presence, and paid advertising—was a major challenge. The system needed to be robust enough to handle various data sources, ensuring the information was both precise and comprehensive.

Training the AI required a deep understanding of marketing terminology and metrics. We mapped industry-specific terms and parameters like SEO keywords, competitor analysis, and paid advertisement, into the AI framework to ensure that the automated marketing pitches were highly relevant and precise, aligning with Pitchmark’s needs.

Developing the automated marketing pitch tool required ongoing feedback and refinement. We continuously iterated on the AI algorithms and system performance based on user input and emerging marketing trends to ensure the AI-based marketing pitch creation remained effective and up-to-date.

Pitch Mark Tezeract
Pitch Mark Tezeract

The Process

We aligned with the business vision to develop a thorough project brief, which included extensive market research, competitor analysis, and relevant data. We then brought the concept to life by defining a detailed list of user stories and features, and the core assumptions of the MVP.

We started by designing the key screens to show the client the product’s look. After refining the UX/UI through client feedback. Once these primary screens were finalized, we expanded the design to cover all additional screens and delivered the complete UX/UI for the product.

At this stage, we focus on developing the product by crafting the architecture of the AI model and training it.

After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.

Key Features

The solution automates the creation of marketing pitches by inserting enriched data into pre-designed document templates. This feature eliminates the need for manual document preparation, significantly speeding up the pitch creation process.

The system scrapes data from SEO tools to gather insights on relevant keywords and phrases used by target companies. This data informs the creation of marketing pitches by highlighting the keywords companies are ranking for, ensuring that pitches are aligned with effective SEO strategies.

The solution extracts data on competitors from various sources to provide insights into their performance and strategies. This information is used to craft marketing pitches that address competitors’ strengths and weaknesses, giving Pitchmark’s clients a competitive advantage in their respective markets.

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