AI-Based Marketing Automation Tool

Challenges of Creating AI Tools for Marketing

Our client, being an avant-garde AI-driven tech firm, wanted to innovate the marketing domain, and ads management in particular. They noticed that the majority of ad campaigns turn out to be ineffective in the long perspective, and the average cost of 1 prospecting customer converted from ads is too high.

That’s why they decided to revolutionize ad management by predicting consumer behaviors before launching ad campaigns. They believed that the intersection of AI and marketing could be harnessed to achieve unprecedented accuracy in understanding consumer behaviors, thus driving better ROI. This forward-thinking approach needed an ultimate tool that could not just map, but anticipate the journey of a customer from the first interaction with the product to the final conversion.

Initially, the client started to build this AI marketing tool with the help of their in-house development team. But after some time, they realized that they need a change in the development process, product map, and strategy. For this, they needed additional development force to strengthen their software team.

The requirements for a custom software development team they were searching for were as follows:

• Seamlessly join the AI marketing tool development project and collaborate with the client’s in-house team, proving fitting architecture solutions, and participating in the development process management;
• Develop several multi-purpose CRM systems for the suture AI platform. Each system should have its own pool of clients and strict set of incoming and outgoing data to manage ads campaigns, quickly proceed with contextual information, and prepare training models for contextual ads;
• Make all parts of this innovative marketing software work together well, so that customers could manage a campaign from inception to closure, ensuring minimal human intervention, and no bugs or drops in the platform performance;
• Enhance the platform with real-time data visualization capabilities, custom reports, and third-party APIs to help customers make data-driven decisions and personalize their ads campaigns;
• Ensure flawless platform performance, as well as robust security measures to protect businesses and their customers' information.

In seeking to actualize this ambitious project, our client was looking for a top-tier development team, which should be not only proficient in React in Redux libraries, but also be familiar with the latest .Net tools, be well-versed in the nuances of marketing solutions, and have expertise in building data-driven visualization solutions.

Time management, a deep understanding of data security, and the ability to work synergistically with the client's in-house team were some of the prerequisites for the candidate team.

Upon rigorous searching and sifting through potential vendors, our client discovered our profile. They were deeply impressed by our acumen in data visualization, and building specialized marketing tools.

Right after delving into the nuances of the project, we started fruitful collaboration with the client on the creation of the AI-based marketing software in early 2020.

How Fively Built Top-Notch Marketing Automation Software

To achieve the vast scope of this AI marketing project’s demands, we put together a dedicated engineering team, consisting of 2 of our senior full-stack developers, 1 team lead, and 2 our highly experienced UI/UX designers. The approach undertaken during this project is elaborated on below.

Project architecture. Initially, when Fively engineers joined the project development, we started with the development of separate CRM systems for data management - the core of the future AI system. Our designers created smart and user-friendly UI for the upcoming platforms, while our engineers coupled the designs with complex logic that enabled intricate billing and seamless integrations with third-party services.

Subsequently, our developers utilized React.js, Redux, TypeScript, and .Net platform to build the needed CRM platforms. Finally, we created our custom-built GUI library and used the power of Chart.js and D3.js to add real-time data visualizations and third-party integrations to the system.

The full tech stack we used in this project architecture goes as follows:

• React - was employed to construct the interactive UI of the CRM systems. Its reusable UI components made the CRM platforms dynamic and responsive, catering to the real-time requirements of marketing automation;
• Redux- was incorporated to ensure that the CRM platforms maintained consistency in data across various parts, especially when dealing with real-time data visualizations and third-party integrations;

• TypeScript - was chosen to ensure early error detection and enhance the code quality, making the CRM systems more reliable and easier to maintain in the long run;
• D3.js - was leveraged to create sophisticated data visualizations, interactive graphs, and custom charts that enabled users to gain insights into the complex marketing data;
• Chart.js - it complemented D3 by providing simpler and responsive charts, allowing users to quickly analyze trends and metrics in the CRM platforms;
• Custom GUI Library - it was created by Fively engineers to maintain a consistent look and feel across the entire CRM platforms, promoting a seamless user experience and faster UI development cycles in the future;
• .Net - this platform played a pivotal role in the backend development of the CRM systems. It facilitated the creation of scalable and secure server-side logic that powered the AI system's core functionalities and eased the integration with third-party services.

Team structure. The complete extent of this AI marketing project was realized thanks to the coherent work of an international development team, where on our behalf were 2 senior full-stack developers, 1 team lead, and 2 graphic designers. Their combined prowess in React.js, Redux, TypeScript, and .Net proved invaluable to the project's success.

Communication tools. Maintaining robust communication was prioritized throughout the project. Right from the outset, our developers set flawless communication with the international team of software specialists to gauge task intricacies, segment them into feasible sprints, and pinpoint deliverable timelines in line with the Agile methodology.

Thanks to weekly standups with the client, their team was consistently abreast of our advancements, enabling us to swiftly tackle challenges and settle on optimal technical resolutions. We also used GutHub for efficient project management, while Slack facilitated prompt discussions on task-specific queries.

Over an extensive period of more than 3 years, our team meticulously crafted an innovative AI marketing tool that revolutionized how businesses predict consumer behavior and optimize marketing campaigns.

Project Results

Collaborating closely with the client's internal team, we achieved optimal business productivity in crafting an AI marketing software that not only enhanced ads campaigns efficiency, but also revolutionized the way companies use ads, eliminating any uncertainties. Here's what we came up with in this project:

• From day 1, we seamlessly joined the AI marketing tool development project and collaborate with the client’s in-house team, proving fitting architecture solutions, and taking part in the development process management.
• Being experts in CRM development, we have successfully developed 5 multi-purpose CRM systems from scratch, offering the client the ability to oversee and manage multiple DL apps. Each system has its own pool of clients and is connected to others, forming an all-in-one AI marketing tool. This allows customers effortlessly manage ads campaigns, contextual information, and pixel collections, as well as build and prepare training models for contextual ads.
• Thanks to the chosen complex architecture, we made all parts of this innovative marketing software work together well, so that customers could manage a campaign from inception to closure, with minimal human intervention, and no bugs or drops in the platform performance.
• We enhanced the platform with real-time data visualization capabilities, custom reports, and third-party APIs to help customers make data-driven decisions and personalize their ads campaigns. This allowed users to witness the impact of their marketing campaigns and adjust strategies on-the-fly for optimum results. Data is visualized using custom tables and graphs, via its own custom GUI library.
• Our team helped to ensure flawless platform performance, as well as robust security measures to protect the businesses and their customers' information. Rigorous testing and refinements were undertaken to eliminate any bugs, resulting in a well-integrated robust AI system.

As a result of this custom AI marketing project, the tool we created became a market leader in predicting audience interests and ads campaigns management. Businesses could now forecast ad profitability and align their strategies to match evolving consumer trends.

By addressing these outcomes, our solution exceeded the client's aspirations, setting a new standard for AI-driven marketing automation tools. Testament to the tool's innovation and effectiveness, it garnered recognition from industry leaders, bagging prestigious awards like the 2022 Adexchanger Awards, The Drum Awards Digital Advertising, Digiday Technology Awards, and many others.

Nowadays, we continue to work on this project, providing continuous technical and maintenance support to ensure the platform's flawless work and enhance it with the latest AI-driven technologies and innovations.