How CRED uses HypeAuditor’s API to effortlessly predict perfect influencer matches

Case Studies
CRED

HYPEAUDITOR USER

for 1 year

HYPEAUDITOR PRODUCT USED

API Tool



Global



Sports



Share case

CRED Investments uses HypeAuditor’s API for a data-driven approach to setting up their clients for a lifelong success

Not your typical investor, CRED bridges finances and technology with its data-centric approach. They work directly with the biggest athletes, clubs, and leagues worldwide, helping them effectively grow, engage & monetise their audience. This is done in part by matching their clients with sponsors and brands. With such high stakes, there is no room for error.

Athletes, clubs, and leagues, paired with sponsors and brands, are a tried and tested winning combination. If you get the right match, that is! With an global focus, finding the right match in such a massive pool of market participants is a colossal task. CRED needed a tool that could quickly and accurately supply each participant with reliable data.

Over the past two and a half years, HypeAuditor has helped CRED to:



Quickly gain valuable insights and data



Improve their automated process of finding potential matches



Decrease the risk of inaccurate predictions

“We use HypeAuditor to get audience insights about players, clubs, and leagues in the sports industry, as well as potential sponsors or brands. We feed [these insights] into our machine learning models to help predict the best matches between the two parties.”

Cherry Shah

Director of Engineering at CRED Investments

Business Challenges
Minimize the risk of a mismatch
CRED aims to provide its clients, including clubs, athletes, and leagues, with long-term value, monetization, and financial upside. Collaborating with sponsors and brands is a big part of this. Naturally, many brands and sponsors line up to work with these high-profile influencers. Throw a substantial amount of money in the mix, and understandably, the stakes are high. Pairing the right influencer with the right brand is paramount in order for both parties to fully benefit.
Measure a wealth of data
With a global approach, the pond to fish from is enormous. On top of that, the social media world is dominated by fake accounts and bots. Measuring all of this data to find a successful match is like finding a needle in a haystack. Knowing the current challenges faced by both influencers and brands, CRED have set out to develop machine learning technology that could partly, and eventually fully automate this process.
HypeAuditor as the Solution:
Gather a wealth of data to gain a reliable oversight
With an extensive client pool and a global focus, there is much information to sift through. HypeAuditor’s API helps CRED to extract valuable data quickly. This allows CRED to understand the profile of audiences of each party
The success of a collaboration often lies in the audience overlap, so having this oversight is extremely valuable in CRED’s match-making process.
Besides overlap, there is the crucial point of having an authentic reach consisting of real followers and engagement. Luckily, these are among the statistics that HypeAuditor provides, adding an important piece to the puzzle for CRED’s data-driven approach.
Effortlessly improve their automated process
Rather than manually going through a vast pile of data, the API allows CRED to feed it directly into their automated process. Not only does this speed up the process, their machine-learning models improve with each additional source.
CRED hasn’t built its technology to automatically feed their systems with data such as following count and authentic followers. HypeAuditor’s API allows them to skip this tedious task and focus on what they do best: helping clients optimize and monetize their value by engaging in only the best-fit collaborations and partnerships.
Lower both their own and their clients' financial risk
A lot is at stake when working directly with the world’s most famous athletes, clubs, and leagues. Not just financially but reputation-wise as well. Therefore, it’s crucial to find these prominent parties the perfect match. No pressure!
With HypeAuditor in CRED’s corner, they can rely on a credible source to supply them with valuable information. This significantly improves their predictions, lowering the risk and increasing the return for all parties involved.
The result:
Using HypeAuditor’s API helps CRED to gain valuable insights about a wealth of social media profiles in the blink of an eye. This allows them to analyze risks and establish collaborations with a high chance of success. Feeding this reliable data to their machine-learning models makes them even better at predicting truly value generating matches. And so they’ve created their own virtuous circle, ensuring growth for both CRED and their clients.