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
Client: Specialty retail DTC brand (identity redacted). Paid Search ecommerce.
Goal: Cut Google Ads search-term waste and identify which exact negatives to add now.
Challenge: Rising non-brand cost — unclear what to negate, where to add it, or how much spend is reclaimable.
Approach: Search Term Cleanup on a 14-day Search terms CSV (~$347/day). Delivered ranked exact negatives (reasons + level), a watch list, phrase roots, and high-risk spend by campaign — plus CSVs, charts, and a written brief. No account edits.
:
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
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
Checkout Research: Why Customers Abandon Cart, and What It Takes to Keep Them
Officeworks' desktop checkout converted above industry standard, but mobile conversion lagged and checkout took over 4x longer than the 1-minute benchmark customers expect. I led a mixed-methods research programme, an audit spanning 6 methods, 613 NPS responses, and 10 user interviews, to find out why.
The research surfaced three connected stories: customers need to feel confident before they can be efficient, cart abandonment has specific and fixable causes (hidden charges, security doubts, and slow load times ranked highest), and Officeworks' mobile checkout was underperforming its own desktop experience.
I translated these findings into 6 prioritized recommendations, including surfacing total cost upfront, making the mini cart editable, and redesigning for adaptive mobile checkout, directly shaping the roadmap for Officeworks' checkout redesign.
Python-based exploratory data analysis of breast cancer patient data, using Pandas, Matplotlib, and statistical methods to identify patterns in age, BMI, cancer stage, incidence, and mortality.
🚀 How I Increased Revenue by 3X with Google Ads 🚀
A few months ago, I started working with an e-commerce brand that had a familiar problem:
🧠 Traffic was coming in.
Sales were happening.
Growth had stalled.
The obvious solution seemed to be increasing the budget.
I chose a different approach.Before spending another dollar, I audited the entire account.
Here's what I found:
1: Conversion tracking wasn't fully accurate.
2: Search terms were wasting budget.
3: Product feeds were poorly optimized.
4: Landing pages had conversion bottlenecks.
5: Campaign structure wasn't aligned with customer intent.
Instead of scaling spend immediately, I focused on fixing the foundation.
Improved conversion tracking accuracy
Optimized product titles and feed attributes
Removed low intent search traffic
Restructured campaigns around profitable products
Tested new creatives and messaging
Improved landing page experience
