How aim'n Built 25 AI Skills to Run Performance Marketing, Creative Analysis, and Trend Intelligence
aim'n is a Swedish activewear brand founded in 2013, known for its seamless sportswear designed by women, for women. With products sold in over 160 countries and a growing retail presence, aim'n has scaled rapidly from a Scandinavian startup into a global brand, backed by collaborations with figures like Jennifer Lopez and a loyal community across social media. As the brand expanded into new markets and channels, the team needed to move faster across performance marketing, creative analysis, merchandising, and inventory without growing headcount proportionally. They turned to Dema's commerce AI agent and built a comprehensive skill library spanning weekly reporting, creative fatigue analysis, trend detection, and cross-functional intelligence that connects merchandising to marketing in ways that weren't possible before.
The Challenge
aim'n operates across multiple markets, channels, and product lines, from paid media on Meta and Google, to organic social, CRM, and a growing retail footprint. The team faced three compounding challenges:
Breadth of analysis needed
Performance marketing, creative analysis, CRO, inventory planning, and CRM each require a different analytical approach. The team needed to cover all of these areas systematically, not just when someone had time to dig in.
Creative lifecycle management at scale
With hundreds of active ads running across markets and formats, identifying which creatives were fatiguing and which were quietly underperforming required a level of systematic analysis that manual reviews couldn't sustain.
Cross-functional blind spots
Trend data, inventory health, market-product fit, and marketing performance all lived in different views. Connecting them, seeing that a trending product had thin stock in a key market, or that a strong performer was getting no ad spend, required someone to hold all the pieces at once.
The Solution
Over the course of several weeks, the aim'n team built 25 custom skills for their Dema commerce AI agent. They described what they needed through conversation with the agent, which then wrote the prompts and Python code to execute each workflow. Once the output matched, the team saved it as a repeatable skill. What makes aim'n's approach distinctive is the range of what they built, from structured reporting and creative analysis to predictive trend detection and cross-functional intelligence that connects inventory, marketing, and merchandising.
What's on your mind today?
Weekly executive reporting
A structured weekly executive report covers overall market performance, marketing efficiency, channel breakdown, and product-level trends, all with traffic light indicators showing both week-over-week and year-over-year movements. A separate monthly report adds budget-versus-actual comparisons per market and creative performance analysis. The reports match the team's existing formats and meeting cadence, so adoption was immediate.
Creative fatigue detection
A sophisticated skill that detects creative fatigue across Meta ads using a peer-relative scoring model. Rather than comparing each ad against fixed benchmarks, it evaluates ads against peers with the same format and funnel position within each market, identifying which creatives are fresh, fatiguing, or dead. The analysis surfaces patterns across headlines, formats, and creative age to inform the next round of creative production.
Trend intelligence
A combined intelligence system that cross-references two analytical layers: trend velocity, detecting which products are accelerating in sales and views before they show up in top-line numbers and classifying them by momentum stage; and market-product fit scoring, evaluating every product type and market combination on demand, profitability, conversion, returns, and sell-through. When combined, the system surfaces high-confidence growth opportunities, urgent restock signals, and overstock risks, connecting merchandising decisions to marketing execution.
Loyalty and retention analysis
A dedicated skill for analysing loyalty program performance by tier and market, connecting member behaviour to revenue contribution and identifying where the loyalty program is driving incremental value versus simply capturing existing behaviour.
Skills
Skills guide the agent for specific types of analysis. Triggered automatically or manually with /[skill name].
Weekly Mix Diagnostic
Analyze channel spend vs CM3 across all markets with YoY comparison
Added by you · 2d ago
Margin Alert
Flag campaigns where ROAS dropped below threshold in the last 7 days
Added by you · 5d ago
Stockout Detector
Cross-reference inventory forecasts with active ad spend and suggest exclusions
Added by Dema · built-in
New Customer Cohort
Segment first-time buyers by channel and compute 90-day LTV
Added by Lisa E. · 1w ago
Creative Fatigue Scan
Identify ads with declining CTR over 14 days and suggest refresh candidates
Added by you · 3d ago
“Dema's Agent is truly mind-blowing. We struggled to get AI to understand our data structures and metrics, but Dema worked perfectly right out of the box. It's the first tool that truly understands our data from the very first prompt!”
Robin Mostacero · CEO, Aim'n
The Impact
aim'n built 25 skills covering performance marketing, creative analysis, trend detection, and cross-functional intelligence. Most of these analyses were simply never done before, partly because of the time involved, partly because it's easy to get lost in analysis without looking at the right metrics and understanding the full picture.
From never done to weekly rhythm
Most of these analyses were never done before. The team previously tried running them by importing Excel files, but it never worked reliably. Now they get them out of the box. Leadership meetings spend more time on the right questions rather than producing insights and reports.
Product velocity that drives agility
The product velocity skill clearly and quickly shows when products start trending, making the team more agile than before.
Creative intelligence per market
Rather than a single fatigue-driven insight, the broader creative analysis via Dema makes it much easier to understand what performs better and worse per market. With a clear naming convention in place, the agent will increasingly take weekly actions and surface insights per market automatically.
Analysis that understands the full picture
The agent doesn't always get it right, but impressively often. The difference is that it looks at the right metrics and understands the full picture, something that was easy to lose when doing analysis manually across disconnected tools.
aim'n continues to expand their skill library, with the agent increasingly taking weekly actions across markets and surfacing insights the team would have missed in manual analysis.
Ready to scale profitably?