How to track multiple social media accounts across networks

Nine accounts, four networks, and the only way to know what any of them did last week is to open nine tabs and write numbers into a sheet. It takes forty minutes, it happens on a Friday, and the first week somebody is busy it does not happen at all. Two months later nobody can say when the drop started.

This is the method for how to track multiple social media accounts across different networks, from doing it by hand today to not doing it by hand at all. Step one costs nothing and needs no account anywhere, including here.

TL;DR

Step one: decide what you are tracking, in one sentence

Most tracking projects fail here and nobody notices for a quarter. A sheet with thirty columns gets abandoned. A sheet with four columns that answer a question somebody asks out loud gets filled.

Write the question at the top of the sheet before adding a single column, then delete every column that does not help answer it. The three that survive for most teams are these.

1. Did each account publish, and how often? The only number entirely within your control, and the one that predicts the rest.
2. Is the audience growing, over ninety days? Weekly follower readings are noise on any account under a few thousand.
3. Which posts got a reaction, and what were they about? The qualitative one, and the only column a human fills better than software.

A tracking sheet that answers no question anybody asks aloud will be abandoned in the first busy month, whatever tool built it.

Step two: know what each network will let you see

This is where an afternoon gets saved. Some of what you want is given to the account owner only, and no method, no export and no purchase changes that. Deciding to track a number that does not exist is the most common way this goes wrong.

The bottom two rows are the ones people spend weeks trying to obtain for accounts they do not own. They are unavailable at any price, on every product. The full map, network by network, is in public social media metrics.

Step three: do one week by hand, once

Before automating anything, do it manually for a single week. It takes under an hour and it produces the only requirement document worth having, because it is written from friction rather than from imagination.

1. One row per account, one column per week. Not per day. Daily rows are how a sheet becomes unreadable by March.
2. Fill it from the public pages, not from the apps. Then the method works on accounts you do not own, and you learn immediately which columns are impossible.
3. Time yourself. That number is what you are deciding whether to keep paying in attention.
4. Write the definition of every column. The month somebody computes engagement differently, the history stops being comparable.

The full version of the spreadsheet approach, including the cases where it is genuinely the right long term answer, is in tracking social media in a spreadsheet.

Step four: notice which method decays

Every manual method has the same failure, and it is not laziness. The sheet is filled by the people being measured, or by one person who also has another job, so it decays exactly when the programme is struggling and the truth is worth most.

That is the argument for automating this and it is worth stating precisely, because it is not about saving twenty minutes. It is that a record which depends on somebody remembering is a record with a hole in the interesting month.

• Somebody asks about March and nobody can answer. The history was never captured.
• The sheet has a three week gap. It always starts in a busy month and never gets backfilled.
• Two people quote different numbers. A definition drifted, quietly.
• The person doing it resents it. That arrives first, and it is the real cost.

Step five: make the networks comparable

Tracking several accounts on one network is arithmetic. Tracking across four networks is a definition problem, because the same word means different things in each and a combined chart quietly averages them.

Two rules keep it honest. Never add a metric across networks unless it means the same thing in all of them, which in practice is posts published and almost nothing else. And always split the surfaces: a feed post and a short video are not the same object even inside one network.

What that leaves you is a cadence view that is genuinely comparable, plus per network detail underneath it. That is the shape almost every team converges on, and it is worth starting there rather than arriving in six months.

Step six: automate, when the count says so

Price the manual method at what the person doing it costs, and compare. Most teams discover the copying costs more per month than the tool they refused to buy, and some discover the opposite, which is a real answer.

• One or two accounts you own. Native analytics. Buy nothing, and revisit when the copying annoys you.
• Three to five accounts, one brand. A free tier or a sheet. Check what the cap counts before you invest a workflow in it.
• Several people posting under their own names. Automate. Personal profiles are the accounts nobody connects, so a manual sheet is the only alternative and it will decay.
• Accounts you do not own at all. Automate or accept that you will do it from memory, because nothing native reaches them.

Which kind of product fits which of those four, sorted by what each can actually read, is in best social media analytics tools.

Four mistakes that waste the first month

All four are common, all four are invisible while you are making them, and all four are cheap to avoid if somebody names them before you start.

1. Tracking daily. Social numbers on a young account are noise at daily resolution. Weekly rows, ninety day trends, and you will see the shape instead of the jitter.
2. Recording engagement without recording followers. Absolute likes rising while the audience doubles is a decline, and the sheet will report it as growth.
3. Capturing counts once and never again. Likes and views keep moving after publication, so a post read in week one and the same post in week eight are two different numbers.
4. Starting with the accounts you own. They are the ones already covered by native analytics. Start with the ones nothing covers, because that is where the sheet is the only option.

The fourth is the one that reorders a whole project. Most teams build the sheet for their own brand page, discover the native app already said all of it, and quietly stop. The accounts that justify the effort are the ones nothing else can reach.

Tracking is one half of a wider discipline. The map of the rest, from which metrics survive a platform change to what belongs in a report, is in social media analytics.

How Groowth does this

It is the last row of the table at the top. You paste public handles on TikTok, Instagram, YouTube and LinkedIn, and it reads each profile once a day: what was published and when, the follower count, and the public likes and comments on each post. Nothing is connected and nobody signs in.

Because there is no connection, an account you do not own behaves exactly like one you do, which is what makes a competitor and a colleague sit on the same board. It never shows reach or impressions, because those are the two rows nobody outside the account can see. Three accounts free with no card, and a free audit that reads one public profile with no account at all.

Frequently asked questions