Post by account_disabled on Apr 30, 2024 7:31:24 GMT
In my definition there are two types of search software opt- in databases and open web databases . Opting in to a database does exactly what the name suggests . There is usually an approval process for companies that creators choose to participate in. Just an example. The good thing is that all creators are actively looking for brands to collaborate with. The response rate is higher . The disadvantage is limited talent. Once you select a platform (e.g. KK ), a city or country, a niche (etc.) - you filter down to a very small list and see the same faces on every search. All your competitors have also spotted the same faces. The effects are more severe as you move outside the United States and into more unusual areas . Open web databases like this are the opposite. It lists everyone. Every public profile .
No matter which country, which city, which niche , almost every creator is in it - you just have to figure out the right filter to use . It's particularly useful for finding nano and micro creators who wouldn't opt- in to major databases and marketplaces . Okay continue . Here’s how influencer marketers actually use search software . There are three main ways to filter your search tool’s database : Audience Demographics Clinics Email List Influencer Performance Niche The importance of each may vary depending on your product and goals . Here are some real-life examples of G ’s senior influencer marketing manager promoting e- cigarettes and diffusers in the United States . Therefore, her starting point is to screen audiences over 10 years old and mainly American audiences. She then stratified the audience 's interests ( e.g. health, supplements ). g manages influencer marketing in Latvia . She started with audience location filters and fake followers .
target city’s true population is the starting point and then she reviews content and other metrics from there . of partner managers use a combination of audience location demographics and performance metrics (such as minimum engagement rate). Then to identify the niche she searches based on words in the influencer’s profile or hashtags used . One last example. When working with influencers, they use four main filters as a starting point. Target country, region, influencer audience above minimum engagement rate (usually no less than) . Niche using topics , tags , and bios. Identify fake follower ratio caps (i.e. not exceeded ) and from there the team can fine-tune e.g. increase or decrease engagement rate filters based on results . Everyone ’s approach is slightly different but if I could boil it all down to some general advice I would say start with the real number of people in your target market ( fake fans , audience location age .
No matter which country, which city, which niche , almost every creator is in it - you just have to figure out the right filter to use . It's particularly useful for finding nano and micro creators who wouldn't opt- in to major databases and marketplaces . Okay continue . Here’s how influencer marketers actually use search software . There are three main ways to filter your search tool’s database : Audience Demographics Clinics Email List Influencer Performance Niche The importance of each may vary depending on your product and goals . Here are some real-life examples of G ’s senior influencer marketing manager promoting e- cigarettes and diffusers in the United States . Therefore, her starting point is to screen audiences over 10 years old and mainly American audiences. She then stratified the audience 's interests ( e.g. health, supplements ). g manages influencer marketing in Latvia . She started with audience location filters and fake followers .
target city’s true population is the starting point and then she reviews content and other metrics from there . of partner managers use a combination of audience location demographics and performance metrics (such as minimum engagement rate). Then to identify the niche she searches based on words in the influencer’s profile or hashtags used . One last example. When working with influencers, they use four main filters as a starting point. Target country, region, influencer audience above minimum engagement rate (usually no less than) . Niche using topics , tags , and bios. Identify fake follower ratio caps (i.e. not exceeded ) and from there the team can fine-tune e.g. increase or decrease engagement rate filters based on results . Everyone ’s approach is slightly different but if I could boil it all down to some general advice I would say start with the real number of people in your target market ( fake fans , audience location age .