Weekly
Track your TikTok follower count weekly
A short Sunday email shows your current follower total and how far it moved since the week before.
- Runs
- Weekly
- Apps
- TikTok
- AI
- Not needed
- Access
- user.info.stats (must be added)
Send this to your assistant
Create a ClickRuntime automation: every Sunday evening, email me my TikTok follower count and how many I gained or lost compared with last Sunday.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A creator posts on TikTok several times a week and checks the follower count obsessively without ever knowing whether the trend is up or down. TikTok's analytics show recent figures inside the app but are awkward to compare week to week, and a brand deal pitch needs real numbers. Without a record, growth and dips are impressions, not evidence. Guessing is a poor basis for a growth plan.
Every week, ClickRuntime fetches your account's stats, including follower count and total likes, compares them with the figures it stored last time and emails you the change. Over time, the emails and the stored values form a simple growth log, so you can tell what your posts actually did for your audience.
It suits creators, social media managers and small brands tracking growth without a paid analytics tool.
What you get out of it
Growth becomes a number, not a feeling
A weekly change such as plus 320 followers is concrete. You can see whether a new posting style helped, instead of relying on how the last video felt. Counting added followers each week is much more reliable than trying to recall whether a good week felt good.
Brand pitches have evidence
Sponsors ask for follower history. A log of weekly counts gives you something to show, which makes negotiating rates easier. Rate negotiations go better when you can name a trend, such as steady growth across the last three months.
Dips are noticed early
A week with a loss prompts you to look at what changed, such as posting frequency or topic. Catching a trend in two weeks is better than finding it in two months.
Content experiments get feedback
Trying a new format and comparing the next weekly change shows whether it worked. Small experiments teach you what your audience wants. Seeing the next weekly change shows whether the experiment helped, so you keep what works and drop what does not.
A permanent history builds itself
Stored weekly values accumulate with no effort. Months later you can chart growth, compare seasons and see the effect of a viral post. Months later you can look at the whole curve and spot the video that made a difference.
How it works
What happens, step by step
Once a week, ClickRuntime reads your TikTok follower count and total likes.
It compares them with the numbers saved from last week.
You get an email with your current follower count and how much it changed since last week. This week's numbers are saved for next time.
Before it runs live
- Connect TikTok
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Add an AI step, for example to summarize, sort or draft a reply
- Add another app, for example also send it to Slack
- Combine it with other TikTok steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, state, notify, http, credentials
@on_trigger
def run(event):
auth = {"Authorization": "Bearer " + credentials.connection("tiktok", "main")}
user = http.get("https://open.tiktokapis.com/v2/user/info/", headers=auth,
params={"fields": "follower_count,likes_count"}).json()["data"]["user"]
now, last = user["follower_count"], state.get("followers")
change = "" if last is None else f" ({now - last:+,} since last Sunday)"
notify.email_me(f"TikTok followers: {now:,}{change}", f"Followers: {now:,}{change}\nTotal likes: {user['likes_count']:,}")
state.set("followers", now)
return {"followers": now}FAQ
Common questions
Which numbers does it track?
Does it track other people's accounts?
Why weekly and not daily?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
Related
You might also like
Get your TikTok video stats every Monday
Each week you get views, likes and comments for every video you posted in the last seven days.
See how it worksSee your five best TikToks each month
On the 1st you get last month's top five videos by views, with notes on what they have in common.
See how it worksCheck how each new TikTok is doing after two days
Two days after you post, you get that video's views, likes, comments and shares so you can judge it early.
See how it worksKeep exploring
Set up “Track your TikTok follower count weekly” from your assistant
Copy the prompt above, or connect your assistant first. Free plan, no credit card.