The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Numbers don't lie (but sometimes they're misleading)
Quick glance at this Google Ads performance data and you might think changing agencies was a great move for the client!
August to October is smooth. Revenue barely dropped from my 20k average. The new agency even boasted a 6x return compared to my 4x.
....but the agency was manipulating conversion tracking. By including checkout data in conversion actions, they created an illusion of success. What appears to be a 18.5k revenue with a 6x return was in fact a 4.5k revenue with just a 1.5x return.
By November, when they switched agencies again, their revenue maintained at 4k but with a better return. I have good hopes from this new agency.
Tip for businesses: Always, ALWAYS understand how your tracking has been setup and conversions are being tracked.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Real estate dashboards are usually built for data entry. Aurex Living was built for decision-making.
$873,42.39 total revenue. 1,269 completed deals this month. $276K sold, $346K rented. Property cards, agent tracking, map view, average sale value trending +10% - every number a real estate operator actually needs, on one clean white canvas.
One campaign I worked on generated:
→ 543 conversations
→ 65,475 people reached
→ 136,214 impressions
→ Across 5 Facebook & Instagram messaging campaigns
What I found most useful wasn't just the numbers.
The campaign data helped show how people were responding to the messaging and gave me a clearer picture of the campaign's reach and engagement.
For me, performance data isn't just something to report at the end.
It's something to look at when deciding what to improve next.
Don't just collect campaign data. Use it to make better decisions.
Exactly. The real value of analytics is using the data to improve what comes next.
4,000 insurance policies, and nobody could tell which ones were about to lapse.
The brokerage tracked renewals across several offices. The policy data was unreliable, and urgent renewals looked like every other row. Outreach left no record, and when something broke, it broke quietly.
We built them a renewal and upsell workflow in n8n. It checks every policy before anything runs and ranks renewals by urgency. GPT-4o-mini drafts the outreach, with retries and a fallback if a call fails. Every send is logged, and if something fails, someone gets an alert.
What changed:
Lapse rate went from 11.4% to 4.1%
~$680K in annual premium protected
~$210K in new annual premium
Compliance docs in under 30 seconds
The AI writes the emails. The checks, logs and alerts are what make it safe to run on real revenue.
#n8n #AIAutomation #InsurTech #WorkflowAutomation
Impressive how the n8n workflow turned unreliable policy data into a ranked renewal queue and dropped lapse rates from 11.4% to 4.1% - the GPT-4o-mini drafts plus the built-in logs and alerts make the automation both powerful and safe.