Image recognition - social media
With the rise of social media, it has become crucial for brands to manage their presence on visual platforms such as Instagram. Traditional listening solutions follow hashtags to monitor brand popularity. However, this methodology is fraught with problems. Firstly, hashtag pollution is viral on Instagram, i.e. a large majority of posts with a brand hashtag have in fact no relationship with that brand. Secondly, a large majority of Instagram users do not include hashtags in their posts, i.e. brands miss products. As a consequence, unless brands follow all of their clients’ accounts, it will be impossible for them to find their products.
The example of Balenciaga on Instagram:
Balenciaga hashtag - Instagram
To illustrate the problem, let's take the #Balenciaga on Instagram. Here, we retrieved the most recent results for #Balenciaga on Instagram.The first 12 results were:
Only 3 posts out of the 12 were relevant for Balenciaga. But there is more: the majority of results matched Balenciaga’s competitors.
Why is there so much hashtag pollution? Have we been just been unlucky with this specific search?
In fact, the root of the problem lies in the way hashtags work. Post rankings are calculated according to the popularity of hashtags. Because many users and vendors want to be noticed, they regularly “hack” the popularity of trendy brands to come up in searches.
That these hashtags are irrelevant to the content of their posts is secondary.
Facts and figures about Instagram hashtag pollution
Heuritech ran a study to assess the impact of Instagram hashtag pollution on brand image.
Methodology of Heuritech’s study
Heuritech’s visual recognition technology, based on the latest deep learning research, is trained to recognize hundred of branded products — such as the Nike Air Jordan — in images.
For this study, we analyzed 1.5 million Instagram posts from April to July 2018 thanks to our image recognition algorithms.
We then analyzed the relationship between the products recognized and the hashtags mentioned.
We called it Missed Content each time a product from a brand was found by our visual recognition technology without a brand’s hashtag.
We labelled posts as Spam when our algorithms identified a competitor’s product instead.
Visual recognition for brands and products: Valentino’s case study
Let’s take Valentino as an example: how relevant are specific and general hashtags to finding products from this brand?
Specific hashtags being for example #valentinokittenheels while general hashtags are for instance #fashion or #instagood.
Here, searching for #valentino allows one to retrieve only 10.99% of the Valentino products posted. Meanwhile, 90,07% of the feed is made up of spam , caused by products from other brands.
This phenomenon is in fact not specific to Balenciaga or Valentino. Hashtags for all fashion brands show high pollution rates while missing a lot of products at the same time. For these rankings, we analyzed 30 fashion brands.
On average, brandhashtags contain 77,5% of pollution on Instagram. Without visual recognition technology, brands miss on average 78,4% of their products.
Do you want to lift the veil on your brand’s Instagram presence, without spam and without missing any products?
Heuritech is here to help. Day and night, we collect and monitor all the content associated with your brand on Instagram. Our platform allows you to visualize moodboards of your products worn in real life to understand your customers better. You can also benchmark your products against your competitors over time and measure your products’ adoption among influencers and consumers.
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