Multi-Account Instagram Audience Profiles for a Social-First Entertainment Studio
A social-first entertainment business needed consistent public Instagram profile data across six connected company and show accounts. Orzaen collected the available audience-profile fields in a shared schema covering identity, biography, profile metrics, account status, mentions, hashtags, and up to six bio links per profile.
Case visual
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Source Accounts
Profile Schema
Bio Links
Data Boundary
A social-first entertainment studio wanted a consistent view of public audience profiles across its connected company and show accounts. The source data was visible profile by profile, but not organized for comparison or analysis.
Orzaen converted the available public profile metadata into one stable 17-field structure across six approved accounts. The result gave the client a reusable data input for its own audience research while preserving a clear boundary between extraction and analysis.
Behind the Scenes
How the system moved from problem to controlled execution.
Problem
The client operated a connected group of social-first entertainment and show accounts, but audience profiles were not available in a consistent research format. Each source account had its own follower audience. Profile biographies mixed free text, hashtags, mentions, and external links. Public counts and account-status fields needed the same formatting across every source. The client needed structured profile rows for its own downstream audience research without Orzaen interpreting or scoring the people in the dataset.
System Built
Orzaen used one normalized profile schema across all six approved Instagram audiences. Public profile metadata was collected and separated into identity, biography, link, activity, and account-status fields. Biography hashtags and mentions were parsed into dedicated columns, while multiple published bio links were retained in separate link fields. The work remained extraction-only: the client received structured source-published profile data and performed any audience analysis or interpretation separately.
What Changed
Six related Instagram audiences were converted into consistent profile-level data. Seventeen public fields were organized in one shared schema. Biography text, hashtags, mentions, and links became separately usable fields. Profile metrics and account-status values were normalized for downstream research. No audience scoring or interpretation was added to the source data.
Before / After
What changed after the system was rebuilt.
Audience coverage
Before
Profiles spread across separate connected accounts
After
Six approved account audiences collected with one schema
Biography structure
Before
Text, hashtags, mentions, and links mixed together
After
Raw bio and parsed components stored separately
Profile metrics
Before
Counts visible only on individual profiles
After
Followers, following, and posts stored consistently
Source boundary
Before
Potential ambiguity between source data and inference
After
Publicly published fields retained without scoring
Delivery Scope
What was included in the system delivery.
Six-account Instagram audience-profile collection workflow
Consistent 17-field public profile schema
Raw biography plus separated hashtag and mention fields
Follower, following, and post-count fields
Private and verified status fields
Up to six public biography-link columns per profile
Controls
Checks built in to keep the workflow reliable.
Collection is limited to the six client-approved source accounts
Only publicly visible profile information is retained
Unpublished values remain blank rather than being guessed
Raw biography text is preserved alongside parsed hashtags and mentions
Profile URLs provide a direct source reference
Orzaen does not score, classify, or contact the profiles
Tools & Stack
Tools used to build, connect, and deliver this system
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