I shaped the product experience and shipped the frontend for both the marketing website and working platform.
Aeris turns a brand's product catalog into campaigns that run themselves:
Audiences suggested from live shopper signals, placements booked instantly from a built-in publisher network, budget shifted automatically to the best-converting channel, and performance diagnosed with a recommended action ready to review.
The business already had the right pieces: shoppers with high purchase intent, strong conversion rates, a creator network, and broad publisher reach. Our own data also showed a shift — people were starting to discover products through AI. Aeris brings these pieces together.
Our own shopper data suggested that discovery behavior was changing, while industry research from organizations such as McKinsey pointed in the same direction. We added AI visibility so brands could understand whether their products appeared in AI shopping answers, where they were being overlooked, and what to improve next.
Realry and Sneakers123 already attracted shoppers actively comparing and discovering products. Realry's strong conversion performance showed that these intent signals could reliably connect products with people ready to buy.
Alongside an established creator network, the acquisition of DailyClicks added access to 500+ advertising networks and roughly 750 million in traffic reach, expanding how and where products could meet relevant audiences.
Aeris brings those assets together as a vertical service for fashion retailers, brands, and stores: one place to distribute product catalogs to the right audiences, measure performance, and improve conversion.
Aeris connects every step, explaining what happened and what to improve next so users can make confident decisions.
Before
Who should see this campaign?
✕ Targeting by gut feel
After · Aeris
✓ Targeting from live signals
The Aeris agent turns a campaign goal into a ready-to-review setup, so users do not have to repeat a complicated creation flow every time.
Teams can track ad spend, revenue, orders, and ROAS together to understand what their investment is returning.
Aeris adapts targeting across the full intent spectrum, using approaches such as creator-led discovery and brand imagery to engage shoppers in ways that match their readiness to buy.
Brands can find missed AI mentions and improve product prompts so their catalog is more likely to appear in AI shopping results.
Budget adjusts with live performance instead of staying fixed, investing more in channels with a stronger conversion rate.
Aeris explains what happened and recommends what to improve next, helping teams make more confident campaign decisions.
Aeris is currently in a private launch with a small group of clients. At this stage, client feedback is guiding three priorities for the product's next phase.
Give Aeris richer business context so each generated campaign plan is more relevant to the brand, goal, and audience.
Expand visibility beyond missed AI mentions to show how people discuss the brand and its products across social channels, including sentiment, recurring themes, and emerging opportunities.
Add social integrations that bring campaign inputs and outputs into the tools teams already use, creating a smoother end-to-end workflow.
Built closely with our AI engineer, backend engineer, and CEO, whose technical and business perspectives shaped what Aeris could responsibly automate.