Custom influencer marketing analytics platform with 91% accuracy of influencer behavior prediction.
The client is a digital marketing agency based in Cyprus. They are experienced in lead generation and organic reach. Founded in 2002 and having over 200 employees, they offer their clients ways to boost their brand efficiency and relevance on the market. The agency connects mid-market-level brands and influencers for marketing needs.
The influencer marketing analytics software for B2B available on the market didn’t fit the client, that’s why they went for custom software development. The client needed a reliable vendor with expertise in machine learning. They decided to develop influencer marketing software from scratch. To tailor to the requirements, the platform must be predictive analytics and NLP-based.
We were challenged to develop a swift influencer marketing analytics software from scratch. The client had nothing but an idea. So, we started to develop a brand new platform – with both backend and frontend, plus integrate predictive analytics and natural language processing into the platform.
The client has decided to collaborate with the InData Labs team as our company has got impressive expertise in AI, data science, and natural language processing.
We also have hands-on experience in developing and improving similar influencer marketing software for agencies.
Our tech team drew upon different resources to meet the client’s needs. To do that, we had to stick to that plan:
The client needed to build a platform valuable for both brands and influencers. Influencers could monitor follower activity and have access to audience insights. Both metrics are vital for strengthening online presence.
Brands, in turn, could set up campaigns and later track its performance (new followers, views, likes, comments, mentions, etc).
When the backend and frontend part was finished, we moved on to implementing ML and PA models into the platform (they were also developed on demand). ML models allowed for effective campaign performance analytics and influencer behavior prediction. NLP models were used for sentiment analysis. They help interpret social media feedback with accuracy up to 92% and adjust marketing strategy.
As a result of the collaboration with us, the client got a robust B2B influencer marketing software that connects brands and influencers for marketing purposes.
The platform developed by our team has advanced the client’s business.
These are the key benefits of the platform:
Benefits in numbers: