Natoe.ai Platform Flow
Natoe.ai Platform Flow
1) Input
This first step involves collating data from several sources.
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User/1st Party Data
This includes information collected directly from the user through their website, social accounts, Wikipedia page, news or any other personal platforms.
3rd Party Data
This data comprises of relevant information from external sources. It can include key special occasions in the business like founding day, industry trends, and events.
Competitor Landscape
This entails comprehensive information about competitor's activities on social media.
2) Configuration/Setup
User preferences for post creation and platform setup are recorded in this stage.
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Tone, Words and Colour Settings
Post Type Selection
Users can choose what type of posting they prefer - automated, manual, or co-pilot mode which includes a full draft but no posting authorization.
Tone, Words and Colour Settings
Users can set up the tone of posts, words/phrases they prefer to avoid, and the colours they would like to use or avoid in their posts.
Social Connect
This involves connecting the desired social media platforms to the management platform.
3) Processing
This involves using collected data to generate post drafts.
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Data Agents
These feed data to an existing Language-Learning Model (LLM) to generate post drafts.
Prompt Engines
User can prompt about the idea, or what they would like to post. The prompt engine will generate a post draft in conjunction with the LLM.
Probability Engine
Generated post draft runs through this engine to improvise the post before creating the final version.
4) Posting
Once the post is created it is shared across the selected social media platforms.
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5) Analysing the Post
6) Feedback
This is the loop which helps in making continuous improvements in future posts based on analysis and feedback.
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Concept 1: User Interaction Metrics These are detailed measurements of how users engage with content online. These metrics are vital for understanding your audience and how they interact with your content. This can include reach (how many people see your content), engagement (how users respond to your content through likes, shares, comments etc.), conversion (the percentage of users who take a desired action), and audience growth (increase in followers or subscribers).
Concept 2: Platform-Specific Metrics Each social media platform has specific analytics that are unique or especially relevant. For example, Facebook analyses metrics including reactions, video views, post clicks, and total reach, adding to basic metrics like likes and shares. Similarly, LinkedIn provides data on post views and company page clicks, while Twitter assesses tweet impressions, profile visits, and mentions.
Concept 3: Audience Demographic and Professional Data This refers to the statistics representing various characteristics of the audience such as age, sex, education, profession etc. The knowledge of audience demographic data allows brands to target their content more effectively, ensuring it reaches the right audience.