Bid on 38 buyer-intent keywords
Est. 5,200 reach“barrier repair serum”, “ceramide moisturiser” — low competition, high purchase intent.
Darwa AI Store · early accessDescribe the store.
Describe the store.
Darwa designs and builds it.
One prompt becomes a brand, a storefront, and the creators who sell it.
Live in minutesCreators paid on revenueMarketing on autopilot
Who came, where from, and what to do next.
Open any store Darwa built and the same panel is waiting: live traffic, the channels driving it, and what your next dollar of spend would actually reach.
Visitors · last 7 dayslive
1,284+34% vs prior week
24 on site now3 in checkout
Where they came from4 channels
Google organic42%539 visits · 2.1% CVR
TikTok / creators31%398 visits · 3.8% CVR
Direct18%231 visits · 1.6% CVR
Email9%116 visits · 4.4% CVR
Reach planner · estimatesSearch · social · creators
Test budget · estimated reach1,800+shoppers
Clicks210 – 260Orders6 – 9Revenue$204 – $306
Darwa would target
12 buyer-intent keywords1 interest audienceUS · 25–44
Scale budget · estimated reach5,200+shoppers
Clicks620 – 740Orders18 – 26Revenue$612 – $884
Darwa would target
38 buyer-intent keywords1% lookalike from buyers4 creator interest setsUS + CA · 18–44
Push budget · estimated reach12,400+shoppers
Clicks1,450 – 1,720Orders42 – 58Revenue$1,428 – $1,972
Darwa would target
94 keywords + competitor terms3% lookalike9 creator interest setsUS + CA + UK · 18–54
What you can do from here3 ready
Brief 4 creators from your niche
Est. 3,100 reachAll four have sold comparable SKUs. Average attributed ROAS 4.2x.
Recover 18% of abandoned carts
Est. $840 recovered231 carts left in the last 7 days with no recovery flow running.
Reach and revenue figures are modelled estimates from comparable campaigns, not guarantees.
Store live in minutesDeep store-data syncCreator-level attributionAgents with approval workflows
A sentence in. A working business out.
Eight artefacts, built in sequence, each one derived from live market data rather than a template.
A daily feed of what to launch next.
Demand signals are scored continuously, so every recommendation arrives with its saturation, margin, and trend attached.
TikTokAmazonMarketplacesRedditGoogle Trends5 signal streams · sampled hourly
Sourcing plotted, not guessed.
Darwa finds candidate suppliers and places each one against unit cost and lead time, then recommends the quote that protects your margin.
RecommendedSupplier A
Unit$4.10Lead9 daysQuality94 / 100
Holds a 62% margin at $34 retail while keeping restock inside two weeks.
- 1Finds and vets candidates on cost, shipping, and quality
- 2Recommends with the trade-off stated, then assists on the quote
Creators measured by revenue, not reach.
Follower counts do not predict sales. Every creator carries a dossier that compounds with each campaign they run.
- PortfolioPast work with the products and results attached
- NichesVerified categories the creator actually sells in
- Social accountsConnected TikTok, Instagram, and YouTube
- Revenue historyAttributed sales across every brand worked with
- Conversion historyPer-video and per-link performance over time
- UGC samplesReusable creative with licensing terms
Hire the creator who has already sold your product.
Creators publish videos, photos, ad creative, and testimonials. You hire on the terms that fit, and Darwa ranks the shortlist by likelihood to convert.
Your store data, read end to end.
Eight object streams flow in continuously. What comes back out is which creators perform, which products scale, and which segments buy twice.
Every dollar traced to the asset that earned it.
The whole path is preserved as one record, so credit lands on the specific creator, video, and page — never on a channel bucket.
Rolled up from individual order traces — not modelled, not last-click.
Say “grow my store” and four agents get to work.
Content, email, SEO, and ads run as separate agents around one shared view of your catalogue, creators, and performance.
Ask the question instead of reading the dashboard.
The growth agent reads traffic, creators, ads, products, and competitor movement together, then answers plainly and proposes the next move.
One graph, learning across every store.
Stores, creators, and campaigns are not separate reports — they are connected nodes. What Darwa learns is the edges between them.
Derived from the edgeslearning
Creators who convert on serum also convert on cleanser
82%Bundle AOV rises when UGC leads the landing page
74%Repeat buyers cluster around a 14-day reorder window
91%Each new store, creator, and campaign adds edges — so every recommendation gets sharper.
Set the target. Approve the moves.
Give Darwa a revenue and margin goal and it plans the work. Every action respects the approval rules you set.
Target revenue$50,000Target margin35%Plan confidence78%
Before you start.
Do I need an existing store?+
No. Darwa can create the brand, catalogue, storefront, and domain from a single sentence about what you want to sell. If you already run a store, connect it instead and keep everything you have.
How does attribution actually work?+
Every creator, video, link, and landing page gets its own tracked identity. Darwa joins that identity to the order record itself, so revenue is reported against the exact asset that produced it rather than a modelled estimate.
Where do creators come from?+
The creator graph is built on outcomes, not follower counts. Creators bring their portfolio, niches, and connected accounts, and their sales and conversion history accumulates as they work through Darwa.
Can the AI act without me?+
Only where you allow it. Every autonomous action runs through an approval workflow, and you choose which action types are auto-approved and which wait for a decision.
Your first store can be live today.
Describe what you want to sell. Darwa handles the rest, with you approving every move.