AI-Supported Digital Marketing for Ecommerce

• Marketplace preparation: Our team uses the MARKETPLACEMACHINE guide to review platform information, seller account setup tasks and responsibilities with you.
• Google advertising: Our team reviews the product feed, prices and stock information, planning Shopping, Performance Max and Search work within our Google Ads management service.
• Meta advertising: Our team organises catalogues, product groups and creative alternatives within our social advertising service.
• Category and product SEO: Our team reviews category structure, product descriptions, filtered pages and structured data. Our category and product page SEO guide explains these implementation topics.
• Customer communication: Our team plans permission-based email and WhatsApp communication and post-purchase workflows, assessing remarketing separately for product viewers and basket abandoners.
• Purchase experience and measurement: Our team examines product views, baskets, payments and repeat orders, using the findings in conversion rate optimisation work.

ROAS is revenue attributed to advertising divided by advertising spend. It does not show product costs, returns, commissions or delivery costs on its own. When those figures are available, our team assesses sales revenue alongside costs rather than presenting turnover as profit.

• Customer acquisition cost: We assess spending on acquisition alongside the number of new customers. We separate orders from new and existing customers.
• Repeat purchases: We examine orders placed over time. Customer lifetime value estimates are shown separately from realised revenue.
• Customer cohorts: We follow customers acquired in the same period as a group. We compare the channels and initial products associated with repeat orders.

Our team examines movement from product page to basket, from basket to payment and through to a completed order separately. When findings concern delivery information, compulsory registration or payment forms, we assign an owner to the proposed correction. This analysis and implementation work is separate from the MARKETPLACEMACHINE marketplace guide.

Initial review

Our team reviews your products, margin data, existing channels and measurement access. We agree on scope, budget limits and approval owners with you. If marketplace entry is planned, we use the guide to prepare the comparison and account preparation checklist.

Preparation and implementation

Our team prepares product data, advertising drafts and proposed website changes. We check AI-assisted titles and creative alternatives against your product information without guessing missing attributes. We review rules for price and stock changes with you, then implement approved work in the relevant accounts.

Regular review

Our team reports completed work, pending approvals and observed sales data together. Where measurement is incomplete, we explain the limits of the assessment. We select next actions based on findings for each channel, product group and purchase stage.

• The working agreement should state that account ownership and administrator access remain with you.
• The proposal should distinguish advertising management, product data work, website development and marketplace preparation.
• A sample report should show spending, orders, the scope of cost data and completed changes together.
• Owners for budget changes, publication and identity procedures should be explicit.
• A case study should be assessed against its starting conditions, work performed, measurement period and data source.

The case study published with written permission on our results page describes our founder's work with a wholesale retail and franchise chain. This work combined Google and Meta advertising under one strategy. At the end of the observation period, the case recorded 700% growth and a 2,500% increase in social engagement. An outcome from another project is not a performance forecast for your products.