Instagram active user screening case sharing

In social media marketing,Instagram has become an important battlefield for companies and brands due to its huge user base and high interaction rate. However, how to screen out active users and conduct precise marketing is still a challenge faced by many companies. This article will share a practical case of using digital tools to screen active Instagram users to help you improve marketing results.

Case background

A fashion brand hopes toInstagram expands its market reach. In order to improve marketing efficiency and conversion rate, the brand decided to screen out active users and conduct personalized marketing campaigns for these users.

Strategies for filtering users

1. Clear goals

First, the brand defined its screening goal: find users who had interacted with it more frequently in the past three months. These users include those who like, comment, share and interact with private messages.

2. Data collection

passInstagram’s built-in analytics tool allows brands to collect user interaction data over the past three months. This data includes user ID, number of interactions, interaction type and time, etc.

3. Set filtering criteria

Based on the data collected, the brand sets screening criteria:

Frequency of interaction: at least monthly5 interactions.

Interaction types: including likes, comments and private messages.

Interaction time: Last interaction within one month.

Filter using Digital Planet

In order to improve screening efficiency, the brand uses the user screening function of Digital Planet. The following are the specific steps:

1. Register and log in

The brand registers an account on the Digital Planet platform and logs in to ensure that it has access to all functions of the platform.

2. Import user data

will be collectedInstagram user interaction data is imported into the Digital Planet platform. Brands import data through batch upload, and the platform supports multiple file formats, such as CSV and Excel, to facilitate and quickly complete initial data preparation.

3. Set filter parameters

In the filter function menu of the Digital Planet platform, selectUser filtering option. According to the needs of the brand, set the filtering parameters: interaction frequency, interaction type and interaction time. Digital Planet detects and analyzes the imported data based on these parameters.

4. Perform filtering

ClickWith the "Start Screening" button, the platform automatically executes the screening process and selects active users who meet the conditions. During the screening process, the system analyzes each user's data to ensure the accuracy of the screening results.

5. View and apply filter results

After the screening is completed, the brand will view the screening results. The Digital Planet platform generates a new list of all active users. The brand exports the list and displays it inUsed in Instagram marketing campaigns.

Personalized marketing campaigns

1. Customized content

The brand policy designed personalized marketing content for the selected active users, including exclusive discounts, limited-time promotions, and new product previews.

2. Targeted push

passInstagram’s advertising management tool allows brands to push customized content to these active users to ensure accurate communication of information.

3. Interactive follow-up

After pushing content, the brand promptly follows up on user feedback and interactions, further understands user needs through private messages, and provides corresponding services and support.

Case summary

By using Digital Planet’s user filtering feature, the brand successfully selectedActive users on Instagram and conduct precise marketing to these users. The results show that the interaction rate and conversion rate of marketing activities have been significantly improved, and brand influence and user loyalty have been enhanced.

This case demonstrates the effectiveness of using digital tools for user screening, providing strong support for companies’ precision marketing on social media.

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