Instagram store
Ukraine
More than 1 year
The owners launched ads themselves and received a good price per inquiry. They started working during the period when the business was recovering in Ukraine, so there was little competition for children's clothing stores on Instagram.
There was a request to improve the results, specifically to increase the price per inquiry, and there was no understanding of how to scale the advertising.
First, we conducted a complete analysis of past launches and metrics obtained over the year to understand what the strategy was and to find growth points for the project.
We identified the problem of why it was difficult to scale the advertising. In fact, most launches were built on a testing scheme, where a specific advertising goal is chosen and different types of products and audiences are tested immediately in a group.
The results were good, but it was impossible to build a strategy to understand how bestsellers were recouped and which individual products we could scale.
After the analysis, we created a work plan for the next month with a new system for testing audiences, creatives, and text.
During 2 weeks of work, we tested about 10 products and found working connections that allowed us to reduce the price per inquiry by 15%.
Next, we began optimizing audience settings and scaling campaigns that brought better results — which allowed us to generally reduce the price per inquiry by about 35%.
The existing content in the profile worked very well.
Due to the wide audience segment, it performed better across the entire audience and received a lot of interactions in the form of comments and likes, which visually enhanced the quality and trust in the project.
Ukraine
More than 1 year
The owners launched ads themselves and received a good price per inquiry. They started working during the period when the business was recovering in Ukraine, so there was little competition for children's clothing stores on Instagram.
There was a request to improve the results, specifically to increase the price per inquiry, and there was no understanding of how to scale the advertising.
First, we conducted a complete analysis of past launches and metrics obtained over the year to understand what the strategy was and to find growth points for the project.
We identified the problem of why it was difficult to scale the advertising. In fact, most launches were built on a testing scheme, where a specific advertising goal is chosen and different types of products and audiences are tested immediately in a group.
The results were good, but it was impossible to build a strategy to understand how bestsellers were recouped and which individual products we could scale.
After the analysis, we created a work plan for the next month with a new system for testing audiences, creatives, and text.
During 2 weeks of work, we tested about 10 products and found working connections that allowed us to reduce the price per inquiry by 15%.
Next, we began optimizing audience settings and scaling campaigns that brought better results — which allowed us to generally reduce the price per inquiry by about 35%.
The existing content in the profile worked very well.
Due to the wide audience segment, it performed better across the entire audience and received a lot of interactions in the form of comments and likes, which visually enhanced the quality and trust in the project.