Shopify build & scaling
Stores built and scaled on Shopify, headless when it pays.
Explore in the stack ↗Global Markets
Local Hubs
All hubs →Pre-tuned to how this market buys.
A store is a GTM funnel with a doorbell. We build and scale Shopify, then run the AI video, retargeting, and lifecycle that turn browsers into repeat buyers.
Ecommerce GTM · Creative + demand + product · AI-powered execution
The operating loop is the same. The angles, proof, and channel mix change to how this market actually buys.
Stores engineered to convert under load, headless when it pays off.
AI UGC and ad video tested as a loop, not a campaign.
Prospecting and retargeting on revenue, with ruthless kill-or-scale discipline.
Email and WhatsApp that turn one purchase into the next.
Creative production, paid learning, Shopify conversion, and AI operations — tuned for ecommerce.
Stores built and scaled on Shopify, headless when it pays.
Explore in the stack ↗AI UGC and ad creative tested as a loop tied to the store.
Explore in the stack ↗Paid media judged on CAC and repeat purchase, not clicks.
Explore in the stack ↗Flows that turn browsers into repeat buyers.
Explore in the stack ↗The right first move depends on where demand is leaking. Start with the constraint that blocks the next measurable outcome, then connect the surrounding channels once the signal is clear.
Clarify the offer, audience, and proof before increasing spend. Creative angles and landing-page language should answer the same buyer question.
Build the search and distribution layer around the queries, channels, and locations that match how ecommerce buyers actually research.
Trace the handoff from ad or search result to page, form, checkout, or sales follow-up. Fix the message break before adding more acquisition.
In practice, the first sprint should leave behind a measurable baseline: the query or audience being targeted, the promise being tested, the page or funnel receiving the demand, and the signal that decides whether the next iteration is worth funding. That baseline keeps the work tied to a business decision instead of a page count, traffic spike, or activity report. It also gives the team a shared weekly reference for prioritisation, reporting, and the next experiment, while making results easier to compare across channels and planning cycles.
Plain answers about how dongolabs runs go-to-market for ecommerce.
Yes. dongolabs designs and builds Shopify stores, including headless Shopify when it pays off, then runs the AI video, retargeting, and lifecycle that turn browsers into repeat buyers.
AI UGC lets you test many creator-style hooks per week from real buyer language, finished by a human editor — so the winning variant feeds your Shopify retargeting.
Yes. We run Meta and Google paid on revenue, with a kill-or-scale testing loop so spend earns its keep.
Tell us where buyers are and what's leaking. We'll name the first move — creative, media, conversion, or operations.