Weekly
Get last week's results per campaign
Every Monday you see spend, clicks, conversions and cost per conversion for each campaign.
- Runs
- Weekly
- Apps
- Google Ads
- AI
- Not needed
- Access
- read
Send this to your assistant
Create a ClickRuntime automation: every Monday at 8am, email me last week's Google Ads spend, clicks, conversions and cost per conversion for each campaign.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
An agency account manager runs ten Google Ads accounts and starts every Monday logging into each one, setting the date range to the last seven days and copying numbers into a client email. It takes most of the morning, the formatting differs between clients, and the one week she is on holiday, the report simply does not go out. Her clients mostly want to know one thing: is it working.
Every Monday, ClickRuntime queries each campaign for the last seven days of spend, clicks, conversions and cost per acquisition, formats a table and emails it. The data comes directly from Google Ads, and you can add an AI-written summary above the table if you want a few sentences of context.
Business owners use the same email as their own Monday check, with no need to open the interface. Freelancers use it to look organized in front of clients.
What you get out of it
Monday morning back for real work
The assembly job disappears. Account managers can spend the first hours of the week on optimizations rather than on copying numbers into emails. That also means no more formatting differences between clients.
Clients get reports on time, always
The report goes out on schedule even during holidays or sick days. Reliable delivery is part of why clients trust an agency, and it costs nothing extra to keep. Reliable delivery is part of why clients trust an agency, and it costs nothing extra.
Same layout every week
A fixed table makes week-to-week changes easy to see at a glance. Readers learn where to look, so conversations focus on what the numbers mean. Readers learn where to look, so conversations focus on what the numbers mean, not on where to find them.
Weekly rhythm catches slow problems
A campaign whose cost per acquisition creeps up by a few dollars each week stands out across successive emails. You step in before it turns into a quarterly problem. Early detection is the cheapest kind of fix.
Optional AI summary for non-experts
For a client who skips the table, a short written summary states what changed. That keeps stakeholders informed and engaged without extra effort from you. Stakeholders stay engaged without an extra phone call from you.
How it works
What happens, step by step
Every Monday, ClickRuntime pulls the last seven days of results for each of your Google Ads campaigns.
For each campaign it lists spend, clicks, conversions and cost per conversion.
You get one email with a line per campaign, such as "Brand – Search: $412.80 spend, 1,204 clicks, 58 conv, CPA $7.12".
Before it runs live
- Connect Google Ads
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Add an AI step, for example to summarize, sort or draft a reply
- Add another app, for example also send it to Slack
- Combine it with other Google Ads steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, notify
CUSTOMER_ID = "1234567890"
def gaql(query):
headers = {"Authorization": f"Bearer {credentials.connection('google', 'ads')}",
"developer-token": credentials.secret("GOOGLE_ADS_DEVELOPER_TOKEN")}
batches = http.post(f"https://googleads.googleapis.com/v21/customers/{CUSTOMER_ID}/googleAds:searchStream",
headers=headers, json={"query": query}).json()
return [row for b in batches for row in b.get("results", [])]
@on_trigger
def run(event):
rows = gaql("SELECT campaign.name, metrics.cost_micros, metrics.clicks, metrics.conversions "
"FROM campaign WHERE segments.date DURING LAST_7_DAYS AND campaign.status = 'ENABLED'")
lines = []
for r in sorted(rows, key=lambda r: -int(r["metrics"].get("costMicros", 0))):
m = r["metrics"]
cost, conv = int(m.get("costMicros", 0)) / 1e6, float(m.get("conversions", 0))
cpa = f"${cost / conv:,.2f}" if conv else "–"
lines.append(f"{r['campaign']['name']}: ${cost:,.2f} spend, {m.get('clicks', 0)} clicks, {conv:.0f} conv, CPA {cpa}")
notify.email_me("Google Ads: last 7 days", "\n".join(lines) or "No active campaigns.")
return {"campaigns": len(rows)}FAQ
Common questions
Can the report cover just selected campaigns?
Which days does LAST_7_DAYS cover?
How do I add the AI summary?
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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