Influencer Marketing is a significant section of the Influencer Marketing industry. It is far more efficient, data-driven, and quick than other traditional marketing approaches. But fake influencers and engagement metrics have caused a huge problem for businesses worldwide. According to Statista, a majority of influencers with more than a million followers fraudulently inflated their engagement and follower count in 2019 and 2020. Unfortunately, influencer fraud cannot be tackled easily. But with the advent of Artificial Intelligence or AI-based tools, there is now an accurate way of separating genuine followers from fake ones. If you are a brand looking to hire an agency, then go for a top Influencer marketing platform like Grynow, influencermarketinghub and many more use AI-based tools to deliver successful marketing campaigns.
Influencer Marketing Analytics has reached a new dimension, thanks to Artificial-Intelligence. Here accuracy does not take a back seat. That’s good news for both influencers and brands looking for healthy collaborations.
Top Influencer Marketing Platform: AI-Based Tools and Methodologies For Marketing Campaigns
In this day and age, getting results faster takes a huge priority. But as a brand, things can go haywire if you do not pay attention to hiring the right influencers for your brand. An agency like Grynow will not only help you reach your goals faster but because of the implementation of AI-based tools, you can rest assured that the process will deliver results beyond your expectations.
Let’s look at how a top influencer marketing platform like Grynow benefits your brand with its AI-based marketing approaches:
Analyzing Audiences That Can Resonate With Your Brand
Is it possible for a brand to figure out whether the followers of a particular influencer are human? Is it possible to tell whether they match their target demographic? Of course not. But fortunately, AI and machine learning can help to accurately scan an influencer’s followers and give detailed analytics reports on demographics. This helps the brands to go through the analyzed profile of the influencers and make decisions on who to work with in the future.
Determining the Compensation for Hired Influencers
AI-based software takes data from tons of influencers within your niche or the category of your brand. It compares an influencer’s metrics and content to every other influencer on the social media platform within a matter of seconds. From the details obtained, the algorithm can decide the appropriate incentive for the chosen influencer. This helps in determining the best negotiation deals so that as a brand you do not overspend your budget. According to Oberlo, more than 44% of firms have reported cost savings due to the implementation of AI. Moreover, it also gives the right compensation to the deserving influencers who work hard endlessly to promote your brand to its target audience.
Envisioning the Future Performance of the Influencers
Can anyone predict the future? I bet no one. But with the AI-based, top influencer marketing platform, predicting how an influencer will perform for your brand in the future has become possible. Sounds weird, right? But it’s the truth. With the help of NLP (Natural Language Processing), AI can tell whether the influencer will successfully meet the brand’s objectives. Hence the created marketing campaigns are not based on trial and error. You will get to know exactly which influencer is perfect for the brand and how the collaboration will take off in the long run. Additionally, AI can even predict whether the social media influence of the hired influencers will improve or deteriorate with time. Isn’t that great?
Calculating ROI from Influencer Campaigns
It’s great to know whether your investments in the marketing campaigns are going to be worthwhile. AI and machine learning can help analyze potential ROI from different angles in marketing campaigns. Hence taking help from an AI-based top influencer marketing platform like Grynow, you will never have to worry about losing your money in the promotional approaches.
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