Can I compare more than two follower lists at once?

Yes. Export followers from as many accounts as you need and import each into its own sheet tab. Use the same VLOOKUP or COUNTIF formula, pointing to each additional sheet. For 3+ accounts, a pivot table approach is more efficient — combine all usernames into one column with an account label, then pivot to see which accounts each username follows.

Does this work for comparing following lists too?

Absolutely. X Followers Exporter Pro exports both follower and following lists. To compare who two accounts follow (rather than who follows them), export the "Following" list from each account and apply the same spreadsheet comparison technique.

How accurate is the overlap calculation for accounts with very large follower counts?

The accuracy depends on the completeness of both exports. X Followers Exporter Pro exports the full follower list for both accounts, so the overlap calculation is as accurate as the data allows. For accounts with 100K+ followers, ensure both exports complete fully before running the comparison.

What does a high overlap percentage mean for my strategy?

A high overlap (30%+) means both accounts attract similar audiences. For competitors, this means you are fighting for the same attention. For potential partners, it means a collaboration would reinforce your existing audience rather than expand it. Low overlap (under 10%) indicates untapped audiences — ideal for partnerships and cross-promotion.

Updated Feb 2026

How to Compare Two Twitter/X Follower Lists

Export followers from two accounts, import both CSVs into a spreadsheet, and use simple matching formulas to find overlapping followers, unique audiences, and competitive insights.

Intermediate

20 minutes

6 steps

Before You Start

Google Chrome browser (desktop)
An X (Twitter) account (logged in)
X Followers Exporter Pro installed from the Chrome Web Store
A spreadsheet application (Excel, Google Sheets, or similar)
Two X accounts whose followers you want to compare (public profiles)

Export followers from Account A

Navigate to the first account's profile on X and click the floating PlugMonkey button. Select "Followers" and click "Start." Wait for the export to complete, then click "Download CSV." Rename the downloaded file to something identifiable — for example, account-a-followers.csv. This file contains every follower of Account A with 20+ data fields per row.

Exporting followers from the first Twitter/X account

Screenshot the exporter panel on Account A's profile with the export complete and the Download CSV button highlighted.

Export followers from Account B

Navigate to the second account's profile on X and repeat the process. Open the exporter panel, select "Followers," click "Start," and download the CSV when complete. Rename it to account-b-followers.csv. You now have two CSV files, one for each account's follower list.

Pro Tip

If both accounts have large follower lists (50K+), run the exports in separate browser tabs one at a time. The extension handles rate limiting per tab, but sequential exports are more reliable for very large lists.

Exporting followers from the second Twitter/X account

Screenshot the exporter panel on Account B's profile with the export complete, showing a different follower count than Account A.

Import both CSVs into separate sheets in one spreadsheet

Open Google Sheets and create a new spreadsheet. Import account-a-followers.csv into the first sheet (File > Import > Upload > Replace current sheet). Rename this sheet tab to "Account A." Create a second sheet tab, rename it to "Account B," and import account-b-followers.csv into it. You now have both follower lists side by side in the same workbook, ready for comparison.

Google Sheets with two tabs — Account A and Account B follower data

Screenshot the spreadsheet showing two sheet tabs at the bottom labeled 'Account A' and 'Account B', with the Account A tab active showing follower data.

Use VLOOKUP to find overlapping followers

In the Account A sheet, add a new column header called "Also Follows B" in the first empty column. In the cell below, enter this VLOOKUP formula: =IF(ISNA(VLOOKUP(A2,'Account B'!A:A,1,FALSE)),"Unique to A","Overlap") where column A contains usernames. Drag this formula down for all rows. Every row marked "Overlap" is a follower who follows both accounts. Every row marked "Unique to A" only follows Account A. Repeat the same formula on the Account B sheet (pointing to Account A) to find followers unique to Account B.

Pro Tip

In Google Sheets, you can also use COUNTIF for a simpler approach: =COUNTIF('Account B'!A:A,A2). This returns 1 for overlap and 0 for unique. Both methods work — VLOOKUP gives you a readable label, COUNTIF gives you a sortable number.

VLOOKUP formula identifying overlapping followers between two accounts

Screenshot the spreadsheet with the 'Also Follows B' column showing a mix of 'Overlap' and 'Unique to A' values, with the VLOOKUP formula visible in the formula bar.

Analyze the overlap and unique segments

Create a third sheet tab called "Analysis." Count your results: total followers in A, total in B, number of overlaps, unique to A, and unique to B. Calculate the overlap percentage: (overlap count / total unique followers across both lists) x 100. A high overlap (30%+) means the two accounts share a similar audience. A low overlap (under 10%) means they reach distinct audiences. This data is critical for partnership decisions, competitor analysis, and audience expansion strategy.

Analysis sheet showing overlap statistics and percentages

Screenshot the Analysis tab with a summary table: Account A Total, Account B Total, Overlap Count, Unique to A, Unique to B, and Overlap Percentage — with example numbers filled in.

Extract actionable insights from the comparison

Use the comparison data to drive decisions. For competitor analysis: A low overlap with a competitor means untapped audience potential — their followers do not know about you yet. For partnership evaluation: A high overlap with a potential partner means less incremental reach from a collaboration. For content strategy: Study the bios of "Unique to B" followers (people who follow your competitor but not you) to understand what content or positioning attracts them. Export the unique segments into separate sheets for targeted outreach.

Insights derived from follower list comparison

Screenshot showing the unique-to-B follower segment in a filtered view, with bios visible for analysis of audience interests.

Summary

You have compared two Twitter/X follower lists and identified overlapping followers, unique audiences, and the overlap percentage. This technique works for competitor analysis (how much audience do you share?), partnership evaluation (will a collaboration reach new people?), and content strategy (what attracts followers you do not have yet?). The entire process uses standard spreadsheet formulas on exported CSV data — no expensive analytics platforms required. Re-run this comparison quarterly to track how audience overlap shifts over time, especially after campaigns or collaborations.

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