Weekly
Track your TrustScore week by week
Each Monday you see your TrustScore, star rating and new review count next to last week's.
- Runs
- Weekly
- Apps
- Trustpilot
- AI
- Not needed
- Access
- apikey
Send this to your assistant
Create a ClickRuntime automation: every Monday at 8am, email me my Trustpilot TrustScore, star rating and number of new reviews, compared with last week.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
TrustScore is what prospects see first on your Trustpilot page, and it moves slowly enough that you rarely notice the trend. A drop from 4.6 to 4.4 over two months can hide behind weeks of ordinary activity. Without a regular reading, a marketing manager only finds out when sales mention it, and by then the reasons are hard to trace.
Every week, this fetches your business profile, reads the current TrustScore and total review count, compares them with the numbers it stored last week and emails you the change. You see whether the score is rising, falling or flat, and how many new reviews came in.
It gives small teams a simple scoreboard without opening a dashboard. It is a simple scoreboard for the number visitors see first. It takes under a minute to read.
What you get out of it
A slow slide becomes visible
A change of 0.1 in a week does not feel like much, but seeing it three weeks in a row tells you something is wrong. The report makes the direction obvious while it is still fixable.
Review volume next to the score
A score based on twenty new reviews means more than one based on two. The count helps you judge whether a change is real or just noise from a small sample.
Tracks the effect of your efforts
If you started asking customers for reviews or fixed a service issue, the weekly numbers show whether it worked. You learn which actions move the score and which do not.
Sharable with leadership
A short weekly line with the score, change and count is easy to paste into a management update. It keeps customer sentiment on the agenda without extra preparation. Leaders see the trend without a meeting.
Needs no dashboard login
The numbers arrive in your inbox every week. People who would never log in to Trustpilot's business tools still see the figure that matters most to prospects. Nobody has to log in anywhere.
How it works
What happens, step by step
Every Monday, ClickRuntime looks up your TrustScore, star rating and total review count on Trustpilot.
It compares them with the figures it saved last week.
You get an email with your TrustScore and its change, your stars and how many new reviews came in this week.
Before it runs live
- Connect Trustpilot
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 Trustpilot steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, state, notify
BUSINESS_UNIT_ID = "your-business-unit-id"
@on_trigger
def run(event):
bu = http.get(f"https://api.trustpilot.com/v1/business-units/{BUSINESS_UNIT_ID}",
params={"apikey": credentials.secret("TRUSTPILOT_API_KEY")}).json()
now = {"score": bu["score"]["trustScore"], "stars": bu["score"]["stars"], "total": bu["numberOfReviews"]["total"]}
last = state.get("last") or now
notify.email_me(f"TrustScore {now['score']} ({now['score'] - last['score']:+.1f})",
f"TrustScore: {now['score']} (last week {last['score']})\n"
f"Stars: {now['stars']}\nNew reviews this week: {now['total'] - last['total']}")
state.set("last", now)
return nowFAQ
Common questions
What is the difference between TrustScore and the star average?
What does the first report show?
Can I track a competitor's TrustScore too?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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