Win the sale before the click
Your buyers now ask ChatGPT, Google AI Overviews, Perplexity, and Gemini which brand to buy, and compare you on Google, Amazon, and TikTok before they ever hit your PDP. NYFTY Labs works to make your store more likely to be the one that gets named, found, and picked, then tunes the whole funnel from first impression to repeat order like a P&L.
Growth is a system, not a channel
Most e-commerce brands run a pile of disconnected tactics, a Meta account here, a Klaviyo flow there, a shopping feed nobody owns, and wonder why blended margin never moves. We run e-commerce as one connected system: get named in the AI answers and shopping surfaces where product research now happens, put the right products in front of the right shoppers, convert more of the traffic you already pay for, and turn first-time buyers into repeat customers. The number we manage is profitable revenue, tracked to contribution margin, not a vanity dashboard.
Outcomes, not activity.
Your brand and products become far more likely to be named and cited when shoppers ask AI engines what to buy in your category, so you can better compete for the recommendation
A clean, single product feed powers shopping and retail-media placements across the surfaces that actually sell for you, with fewer disapprovals and less wasted spend
Server-side conversion tracking gives ad platforms cleaner purchase signal, so they optimize toward buyers who convert rather than scaling your worst audiences
More of the traffic you already pay for makes it through the product page, cart, and checkout, lowering effective cost per order without buying more clicks
Lifecycle email and flows turn one-time buyers into repeat customers, so the model stops depending on ever-cheaper first orders
Clear reporting shows which channels drive real profit versus claim the last click, so budget moves to what compounds
Where E-commerce & DTC loses the lead now.
- Buyers research your product category inside AI answers and marketplaces, and if you are not named or cited there, you are invisible before the shopping ever starts
- Blended CAC keeps climbing as paid social gets more expensive, iOS and privacy changes break your conversion tracking, and platforms optimize toward the wrong customers
- You get plenty of traffic but too much of it leaks at the product page, cart, and checkout, so you pay to acquire visitors who never convert
- First orders are unprofitable and the whole model depends on repeat purchase, but retention email, flows, and lifecycle are an afterthought
- Your product data is a mess across Shopify, Google Merchant Center, Amazon, and Meta, so shopping feeds get disapproved and AI engines cannot read what you actually sell
We turn those gaps into booked demand.
Get a planWhat is E-commerce & DTC marketing in the AI era?
E-commerce and DTC growth for AI-era buyers is the practice of getting your products found, cited, and bought across the places shoppers now research, AI answer engines like ChatGPT and Google AI Overviews, traditional and shopping search, and marketplaces, and then converting that demand into profitable, repeat orders. It pairs answer-engine and shopping visibility with full-funnel growth marketing and AI automation, run to contribution margin rather than vanity traffic.
How it works
It works on two fronts at once. On visibility, we engineer a clean product feed and structured PDP data, build the entity and authority signals that help make your brand more likely to be recognized and recommended by AI engines, and place shopping and search ads on the surfaces that sell for your category. On conversion and retention, we rebuild server-side tracking so platforms optimize toward real buyers, fix the leaks in your product pages and checkout, and run lifecycle email and flows so first orders become second and third orders. Everything is measured to blended CAC, contribution margin, and repeat rate, not just ROAS.
Who it’s for
For online stores and direct-to-consumer brands, Shopify and headless builds, marketplace sellers, and omni-channel retailers, where the outcome that matters is profitable revenue: more of the right traffic, a higher share of it converting, larger average orders, and customers who come back. It fits brands past the earliest scrappy stage that now feel rising ad costs, broken attribution, and the shift of product research into AI answers, and want a senior partner to run growth as a system.
In practice
As an illustrative scenario, imagine a skincare DTC brand that notices when shoppers ask ChatGPT or Google AI Overviews for the best option in its category, competitors get named and it does not. We structure its product and ingredient content so answer engines can read and cite it, clean the Merchant Center feed so shopping ads stop getting disapproved, rebuild checkout tracking server-side so Meta optimizes toward actual purchasers instead of window-shoppers, and set up post-purchase and win-back email flows. Over the following quarters the brand can become far more likely to show up in AI recommendations, with the goal of more of its paid traffic converting and repeat orders carrying more of the margin.
The stack for your vertical.
Go deeper by specialty.
Questions, answered.
Most agencies own one lever, a Meta account, an SEO retainer, an email calendar, and optimize it in isolation, usually to ROAS or traffic. We run the whole system to contribution margin: AI-answer and shopping visibility, paid and organic acquisition, checkout conversion, tracking, and retention as one program. And we build the new layer most agencies still ignore, getting your brand named inside ChatGPT, Google AI Overviews, Perplexity, and Gemini, where a growing share of product research now happens before anyone reaches a shopping ad.
Shopping ads capture demand at the moment of purchase; AI answers shape which brands make the consideration set in the first place. When a shopper asks an assistant for the best option in your category, the brands it names get an edge before the auction even starts, and brands that are not recognized as an entity or cited in trusted sources are far less likely to be included. GEO and AI-search work upstream of your ads, so the demand your shopping campaigns capture is warmer and more of it asks for you by name. The two reinforce each other.
Yes. We work end-to-end inside the tools you already use rather than forcing a migration. That includes Shopify and headless builds, your product feed and Merchant Center, Klaviyo or your ESP, Meta and Google Ads, Amazon Seller and Vendor Central, and server-side tracking through GA4 and the platforms' conversion APIs. We are careful with your data and your customers' data, and everything we build is documented so your team keeps ownership.