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Instagram Follower Consolidation Across 19 Jewelry Accounts

A jewelry wholesaler needed the follower audiences of 19 industry accounts collected, normalized, and consolidated. Orzaen structured one row per unique public profile, removed cross-account duplicates, and retained publicly listed identity, business, contact, website, and location fields when available.

Delivered Delivered as a multi-account dataset project•Jewelry Wholesaler (Confidential)•Delivered as a multi-account dataset project

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IndustryJewelry & Accessories· Wholesale
0

Source Accounts

~222,000 profiles

Estimated Unique Scope

Across all accounts

Duplicate Policy

1 row per unique profile

Master Output

A jewelry wholesaler did not need 19 disconnected follower lists. The useful asset was one combined industry-audience dataset in which repeated profiles were resolved and public business context remained usable.

Orzaen built the collection and consolidation workflow around normalized Instagram handles, then structured the available public profile fields into one master output. The result replaced overlapping source lists with a cleaner audience database for the client's own qualification and outreach processes.

Behind the Scenes

How the system moved from problem to controlled execution.

01

Problem

The client wanted to understand the combined follower audience around 19 jewelry industry accounts, but the same people could follow several of those accounts. Separate follower exports would multiply overlapping profiles. Public names, business names, contact details, links, and locations were not available in one consistent structure. The estimated unique audience was approximately 222,000 profiles, making manual consolidation impractical. The final file needed one row per unique profile with consistent formatting for import into the client's own systems.

02

System Built

Orzaen collected the in-scope follower audiences, normalized Instagram handles and profile URLs, and merged the records into a master profile dataset. Cross-account duplicate handles were resolved so each unique profile could appear once, while source-account membership could be retained for overlap review when required. For accessible public profiles, Orzaen captured the requested identity, profile, business, contact, link, and location fields when published. Missing values remained blank instead of being inferred, and the final spreadsheet was formatted for structured review and import.

03

What Changed

Nineteen separate follower audiences were consolidated into one structured workflow. Cross-account duplicates were resolved at the profile level. The project was designed around an estimated unique audience of approximately 222,000 profiles. Public identity, business, contact, link, and location fields were organized when available. The final master format supported direct import into the client's downstream systems.

Before / After

What changed after the system was rebuilt.

01

Source audiences

Before

Nineteen disconnected follower lists

After

One consolidated master dataset

02

Duplicate profiles

Before

The same handle repeated across several accounts

After

Cross-account duplicates resolved globally

03

Profile context

Before

Identity and business details visible only profile by profile

After

Public business, contact, link, and location fields structured

04

Delivery format

Before

Separate source audiences with inconsistent formatting

After

Consistent Excel / Google Sheets-ready master file

Delivery Scope

What was included in the system delivery.

Nineteen-account follower collection workflow

Source-level follower exports for reconciliation

Cross-account duplicate-resolution process

Public profile and business-field collection

One-row-per-profile master dataset

Consistently formatted Excel / Google Sheets-ready delivery

Controls

Checks built in to keep the workflow reliable.

Source scope is limited to the 19 client-approved accounts

Normalized handles are used as the primary duplicate key

Public contact values are retained only when the profile publishes them

Missing identity, business, or location fields are not guessed

Duplicate handling is performed across the full source-account set

One final row represents one unique Instagram profile

Tools & Stack

Tools used to build, connect, and deliver this system

PPython
RARequests and browser-based extraction
PPPublic profile parsing
CDCross-account deduplication
DNData normalization
E/Excel / Google Sheets delivery

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