Understand the product before changing the way you work.

Expanly is the Control Layer for Retail Growth. Its shared business interface brings catalog, commercial and advertising data together so teams can see where budget goes, set priorities and put them into action. See the product.

Retail teams know which categories, collections and inventory matter, but automated ad platforms do not have that full context. Expanly adds the shared interface between the business plan and advertising execution.

Start with the free Wasted Ad Spend Audit. Google Ads and GA4 provide the first allocation view, while a 30-day observation period adds catalog history and deeper commercial context. We then review the business case and recommend the first priorities together.

Expanly combines a shared business interface with governed automation. Teams see the allocation reality, make priority decisions, keep approved rules current and review what changed.

Expanly works best for multi-category ecommerce retailers with 5,000 or more SKUs and at least €20,000 in monthly feed-based advertising spend. The typical decision owner is a Head of Ecommerce or another commercial leader, while marketing specialists and agencies use the operating detail.

The value of dynamic prioritization grows with catalog and advertising complexity. If you have fewer than 5,000 SKUs or spend less than €20,000 per month on feed-based advertising, Expanly may not yet justify the investment. We will be direct about fit after looking at your setup. Talk to our team.

The available setup connects Google Ads, Google Analytics 4, Google Merchant Center and product or custom business feeds. Those feeds can include catalog, margin, stock, returns and other commercial fields.

Business Rules turn a commercial decision into dynamic catalog logic. A rule can combine category, margin, stock, return rate, seasonality, performance and custom fields, then assign matching products to High, Standard or Low Priority.

Approved priority segments are delivered through Google Merchant Center so the retailer's Google Shopping and PMax setup can use them. The exact campaign structure remains a decision for the retailer and its specialists.

Google is available now. Meta is coming next. Other advertising and commerce channels are on the product roadmap.

Important changes remain reviewable. Expanly and Expanly AI can prepare logic and keep approved rules current, while the team controls what is published.

Expanly is designed to work with the setup you already have. It adds a shared priority model and publishes approved signals through Merchant Center; your specialists and agency remain responsible for campaign structure and channel decisions.

The standard Google Ads and GA4 connections take about 30 minutes and do not require a new implementation project. Product and commercial feeds may require help from the person who owns those data sources, depending on the retailer's setup.

Yes. Retailers can use a shared priority model across markets while keeping market-specific data, rules and operating decisions where needed.

Expanly keeps evaluating the current catalog against approved rules. Routine feed changes are reflected as the data updates. For a major migration or identifier change, the Expanly team helps plan the transition and validate the mapping.

You can ask cross-source business questions such as which categories generate strong revenue with relatively low ad investment, where spend conflicts with stock or return risk, and what changed after a priority went live. Explore Expanly AI.

Yes. Expanly AI can take a question through analysis to a prepared action and follow-up. It prepares the change, a person reviews it and the team decides what goes live.

Expanly AI access is enabled with the Expanly team. We help connect the approved AI workspace, review the MCP setup and agree which data and actions are available. See how Expanly AI works.

Contact your Expanly team to review the use case and MCP settings. Expanly MCP connects synchronized Expanly data and approved actions to an AI workspace chosen by the customer, with the customer's security and IT requirements kept in the loop. See Security & Data.

Performance Max optimizes from the signals and targets available inside Google's system. It does not automatically know which categories the business wants to grow, where margin changes the answer or which inventory needs to move. Expanly gives those business priorities a structure that the advertising setup can use. Compare the approaches.

Expanly adds the layer many advanced setups still lack: an intuitive business-facing interface for weekly priority decisions, one shared catalog model and understandable data on what changed and what the team should try next. See what Expanly adds to custom labels.

Usually not. Feed tools can continue cleaning, enriching and distributing product data. Expanly adds the decision layer for what matters, keeps the priority logic current and connects it to advertising execution.

Yes. Profit can be an important input to the priority model. Expanly combines it with stock, returns, seasonality, category goals and other business context rather than treating one metric as the complete strategy.

The agency keeps channel strategy, campaign expertise and the client relationship. Expanly gives the client and agency one shared priority model, reduces manual priority-label maintenance and brings business context closer to execution. See the agency model.

The initial connections are designed to be light. After setup, most of the work is reviewing priorities and deciding what to change, not manually maintaining product labels every day.

Yes. Expanly can be operated by an in-house ecommerce or marketing team. If you work with an agency, the same interface gives both sides a shared view of business priorities and execution.

GA4 and Google Ads can reveal first allocation signals as soon as the data is connected. First rules can be ready the next day, visible change often appears in about two weeks and a 30-day observation period creates a deeper catalog view.

Expanly shows budget allocation and business performance by the priorities and rules your team set. That helps the team understand the observed change, compare periods and decide what to keep or test next. It does not treat every before-and-after difference as causal proof.

The audit shows where advertising investment goes today, which categories, products or brands appear misaligned with the business plan, and how much could potentially be reallocated toward stronger growth opportunities. Across retail catalogs, 20–30% of product advertising spend commonly sits on products the business would not actively choose to support at the same level. Request the audit.

No. We use real data to build an informed estimate and business case, but we do not promise a fixed euro result.

Yes. Rules can combine margin, brand, category, stock, returns, demand and custom business fields so the products that support the plan receive a clear priority signal. Explore use cases.

Yes. A priority can be scheduled for a launch or campaign window and combined with safeguards such as margin, stock cover and key-size availability. The rule can then return products to their normal priority when the period ends.

Yes. Low availability, high return risk or another agreed condition can lower a product's priority. The purpose is to protect the broader business plan while specialists retain control over campaign execution.

Yes. Custom feeds can bring stock, margin, returns, supplier, logistics and other approved business fields into the shared priority model.

Pricing is based on the scope of the catalog and operation. As part of the audit, we build the business case and assess the potential value before making a proposal.

Business data is encrypted in transit and at rest. Detailed margin, inventory and other commercial data is not sent to ad platforms; the platforms receive the approved priority signals needed for delivery. See Security & Data.