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Influencer Marketing Platform

The Client wanted to build a software solution to assist brands and agencies with their influencer marketing campaigns by offering massive searchable databases of potential influencers, using AI algorithms. We helped to develop an interactive B2C web application while optimizing the speed of data loading that allowed customers to quickly identify and target the right individuals for their campaigns, potentially saving them time and resources.

57 ms

data upload

12 mln+

Influencer Marketing Platform case preview image

About the client

The leading Marketing and Creative agency in the DACH-region that provides customers support in the areas of strategy, market research, and content creation.

Tech stack

React logo
Python logo
PostqreSQL logo
MySQL logo
Django REST logo
Django REST framework
AWS logo

The client's needs

The Client wanted to develop an  interactive B2C web app that would provide brands and agencies with access to a large, searchable database of potential influencers to help them identify, target the right individuals for their campaigns, make more informed decisions about who to work with, by using AI algorithms to analyze data on influencers and their social media presence.

Challenges & solutions


Build front-end for an interactive B2C web app that allows customers to utilize the functionality of collecting influencers on TikTok and Instagram by setting up flexible filters that match their specific criteria. Optimizing the speed of data loading.


Built a reactive, efficient, and dynamic web application with a design framed within the Client's existing website and UI/UX front-end using React. The app is responsive and can be easily accessed on all different devices and screen sizes.  By optimizing database queries, using pagination, caching, minimizing the use of heavy libraries, and minifying and compressing resources, the speed of data loading is optimized so that customers can quickly identify and target the right individuals for their campaigns.


Implement API integration: integrate data from Social Media (TikTok, Instagram) and payment system.


High-loaded AI scraping algorithms to generate a real-time database of the millions of influencers' data from Instagram and TikTok. The app was integrated with the TikTok and Instagram APIs to gather data on influencers, such as their profile information, posts, and engagement metrics. Integrated API of the selected payment gateway into the app, to enable transactions and communication between the app and the payment gateway.


Build a large-scale filter system.


Data filtering interrogates various sets of influencers’ data, then calls up data that is most suitable for the customer’s needs.


We helped the Client to build an interactive B2C platform that allows brands and agencies to access a large, searchable database of potential influencers, using advanced AI algorithms to analyze data on influencers and their social media presence. The app is designed to be user-friendly, responsive, and efficient, with a fast data loading speed, and a large-scale filter system and has the capability to transact through a payment gateway, providing a complete solution for influencer marketing campaigns. The app gives the Client a competitive advantage over their competitors and helps to increase efficiency and revenue.
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We are delighted with our results and with DATAFOREST's professional services, they have helped us to generate additional revenue!

Johannes R. photo

Johannes R.

CEO Creative agency

The way we deal with your task and help achieve results

Consultation icon

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.
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Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.  

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.
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Step 3 of 5

Solution development

The work starts with data gathering, data cleaning and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.
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Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project.  While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.
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Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

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DevOps Experience

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QPS performance


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We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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