Weekly
Get a weekly read on what customers say
Every Monday you learn the main complaints, the main praise and which products need attention.
- Runs
- Weekly
- Apps
- WooCommerce
- AI
- Yes, uses the built-in AI allowance
- Access
- read
Send this to your assistant
Create a ClickRuntime automation: every Monday at 9am, go through last week's WooCommerce product reviews and email me the top complaints, the top praise and any products I should fix.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A WooCommerce store with a few hundred product reviews a month has a quiet problem. Nobody reads them all, so a recurring complaint, such as sizing that runs small on one jacket or a charger that stops working after a month, sits in the review tab while returns and refunds pile up. By the time someone notices, dozens of buyers have had the same bad experience.
Once a week, the review feed from the last seven days is pulled from your store and handed to ClickRuntime's built-in AI, which groups what customers praise, what they complain about and which products keep coming up. The result lands in your inbox as a short report you can read in a couple of minutes.
Store owners who split merchandising, support and purchasing between a few people get the most from it, because one shared summary replaces three people each skimming a different slice of the reviews.
What you get out of it
Repeat complaints surface early
A defect or sizing problem mentioned in five reviews across a week becomes visible in one paragraph, so you can pause ads for that product or contact the supplier before refunds multiply.
Praise you can reuse in listings
The phrases customers use when they love a product show up grouped together, which gives you honest wording for product descriptions, ad copy and email subject lines. That wording is real evidence of what shoppers value, not a guess from the marketing team.
Suppliers get specific evidence
When you raise a quality issue with a manufacturer, you can point to the exact products and the week the complaints started instead of saying customers seem unhappy. A dated paragraph about failures also helps when you negotiate refunds or replacement stock.
No one has to be the reader
Reading reviews is the task that gets skipped when orders are busy. A weekly summary means the signal reaches you even in your busiest sale week. Monday's email arrives whether or not anyone had time to open the review tab.
A weekly record of sentiment
Keeping each week's report in your inbox lets you look back after a price change or supplier switch and see whether customer tone actually moved. After a supplier change, the following weeks' summaries show whether complaints really dropped.
How it works
What happens, step by step
Once a week, ClickRuntime collects the product reviews posted in your WooCommerce store over the last 7 days.
AI reads them and pulls out the main themes, such as the top complaint and what customers praise.
You get an email with those themes, naming the products involved and how many reviews mention each one.
Before it runs live
- Connect WooCommerce
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
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other WooCommerce steps into one automation
Under the hood
The code that runs this automation
import re
from datetime import datetime, timedelta
from clickruntime import on_trigger, credentials, http, ai, notify
STORE = "https://yourstore.com/wp-json/wc/v3"
@on_trigger
def run(event):
auth = (credentials.secret("WC_CONSUMER_KEY"), credentials.secret("WC_CONSUMER_SECRET"))
since = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%dT%H:%M:%S")
reviews = http.get(f"{STORE}/products/reviews", auth=auth, params={"after": since, "per_page": 100}).json()
if not reviews:
return {"reviews": 0}
text = "\n".join(f"[{r['rating']}/5] {r['product_name']}: {re.sub('<[^>]+>', '', r['review'])}" for r in reviews)
report = ai.generate(
"From these product reviews, list the top complaints, the top praise, and the products to fix first, "
"with a short reason for each:\n\n" + text,
max_output_tokens=800,
).text
notify.email_me(f"Review themes from {len(reviews)} reviews last week", report)
return {"reviews": len(reviews)}FAQ
Common questions
Does it read reviews on every product or only some?
Can it spot sarcasm or a one-star review with a five-star text?
Will unapproved or spam reviews be included?
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
Sort customers into champions, loyal, at-risk and lost
Once a month you see which customers buy often and recently, and which have drifted away.
See how it worksMake follow-up coupons for unfinished orders
Each evening, customers with pending orders get a unique coupon and you get the list to follow up.
See how it worksGet a morning list of low-stock products
Products dropping under your threshold are emailed to you each morning, without repeats of ones already flagged.
See how it worksKeep exploring
Set up “Get a weekly read on what customers say” from your assistant
Copy the prompt above, or connect your assistant first. Free plan, no credit card.