Other tools write marketing content. Spark connects straight to your store's products, customers, margins and performance data, then decides and executes what will actually grow revenue.
7 days free · 50 credits · No card required
62 days of cover left and sell-through down 9% week on week. A bundle with Elevate Hoodie protects margin better than a sitewide discount.
RUNNING MARKETING FOR STORES LIKE
01 / HOW IT WORKS
No onboarding call, no brand questionnaire, no prompt library. Spark reads the store you already have.
One OAuth click. Products, variants, collections, inventory, orders, discounts and 12 months of revenue land in Spark. Klaviyo, Meta and Google follow in the same flow.
It learns your voice from your own product pages and reviews, ranks products by contribution margin, spots what is stuck in the warehouse and what is about to sell out.
Every campaign arrives as a full pack — strategy, Meta ads, email flow, SMS, social, landing page copy — with the revenue case attached. You edit, approve, and it publishes to the real channels.
02 / THE PRODUCT
A generic AI tool starts from a blank box every time. Spark starts from 4,300 orders, 182 SKUs, your review language, your discount rules and your margins. Ask it for a campaign and it already knows which products deserve one.
Plain, technical, slightly dry. Leads with fabric and fit. Never uses exclamation marks. Calls customers “you”, never “fam”.
Pick an objective and Spark returns a coordinated pack: strategy and angles, Meta ad concepts, Google copy, a five-email flow, SMS, organic social, a landing page and product-page fixes. All built on the same offer, all consistent, all ready to edit.
Every scheduled send, post and ad in one grid. Spark flags the gaps — the dead week before payday, the launch with no email support — and fills them on request.
Every asset is tied back to orders. Spark keeps what worked — the offer, the angle, the send time — and writes it into the Store Brain so the next campaign starts smarter.
03 / WORKFLOWS
Not 200 templates. Four workflows an operator runs every month, each one grounded in what your catalogue is doing right now.
Spark pulls the new SKU's images, specs and price, finds the customer segment most likely to buy first, and builds the teaser, launch and follow-up sequence around it.
Your proven product gets new angles instead of the same creative for the fourth quarter running. Spark reads which reviews convert and writes from those words.
It checks days of cover and margin before it suggests anything. Bundles and cross-sells first, discounts only when the numbers say the cash matters more than the price point.
Black Friday, Mother's Day, the January reset. Spark picks the products that fit the moment, sets the offer against last year's numbers, and plans the full calendar.
READS AND WRITES TO THE STACK YOU ALREADY PAY FOR
Shopify orders stay the source of truth. Spark preserves each platform's own attribution instead of arguing with it.
04 / THE DIFFERENCE
05 / PRICING
Every integration is included on both plans. Restricting your store data would make the product worse.
For founder-led stores running marketing between everything else.
For stores publishing marketing every week and measuring all of it.
06 / QUESTIONS
Still unsure? Email us and a person who has run a store will answer.
hello@spark.storeA general tool starts from an empty prompt box. Spark starts from your store: 182 SKUs, twelve months of orders, your review language, your discount rules, your margins. It does not just write the email — it tells you which product the email should be about and why.
START TODAY
Seven days, 50 credits, no card. Enough to build one complete campaign and decide for yourself whether Spark earns its place in the stack.