Finding influencer metrics - brainstorm ideas

red333 said:

Original images / videos: either I’m taking the ideas of someone’s jokes and post them with my design, logo and background or my follows suggest them to me.

I’m not botting and getting bout 400-800 followers daily. (I’m often trending the last few weeks)

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OK, so a meme/joke niche, if I'm not mistaken. That's a hard one to monetize as an influencer, especially if you have negative jokes. Unless you turn it into something more commercial, like lifestyle, food, cars, fashion, home, electronics, pets, or a combination of all. Brands stay clear of anything negative, political, porn or overtly sexual.

Right off the bat, you could make it into a t-shirts, posters, backpacks, buttons or your best (clean) jokes. If you can start to make sales from your audience through that, you can then start feeding them some posts (designed by you) of other fashion wear and just get a referral link to include in the post. Once you start referring into the thousands every Quarter, brands will find you (believe you me), as they take notice of your influence into referral commission. It takes time, but that is one way to go without changing much what you already have.

@rootjazz Martin, Took some time to read this thread and I while I got a humble B at university i dont think i can add to the formula's progression but I can add more complexity... I personally built a 10k influencer account within the food industry. I know for a fact that food influencers participate in "pods" in which they pretty much spam each other comments likes and saves to game the IG algo.

How can we score influencers with the same users consistently commenting and liking each other's photos?

Martin, I know instadub has an instagram userID (unique key) which can be tagged to each comment / like. That being said, what if there was a depreciation factor to the engagement calculation with the same repetitive user ID that comments / likes?

Post 1:
ID 1
ID 2
ID 3
ID 4

Post 2:
ID 1
ID 2
ID 3
ID 5

3/4 ID's match in this case and there would be some kind of score *.75 perhaps...

Good point. However, now the actual likers / commenters need to be scraped rather than just the image_details which would contain: comment_count, like_count. Which now increases the scrapes by a high number. But this would be required if you wanted to avoid those in engagement groups.

Mr. Burnham said:

If you scrape all the users that follow an account and all the users that liked the 10 last posts and after comparing the lists you find out that those that liked the posts are not followers, the influencer used SMM panels to boost his account.

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Thanks