For ecommerce businesses feeling the squeeze

Break free from

Margins under pressure. Ad spend hard to steer. Seasonal demand, low average order value and stock shortages make every purchasing decision harder.

Adsage is ecommerce analytics for clearer decisions about product margins, advertising, inventory and what customers buy together.

Find your way out Explore live demo

No signup needed for the demo. All demo data is synthetic.

A fuller picture. A more informed next move.

See what to back.
What to restock.
What to pair.

Adsage brings advertising performance, product margins, demand, stock and basket behaviour into the same picture.

Before you change a price, place an order or let a product sell out, consider how that choice affects your margin, your ability to meet demand and the rest of the basket.

Explore what you can decide
The questions behind your next move.
Travel backpack

One product.
Several decisions.

60 units sold in the last 30 days

Advertising
€480 left €1,080 gross margin − €600 in ads
Could I raise the price or lower ad spend?
Stock
7 days of stock at today’s sales pace
Will ordering 50 units be enough for the season? What if demand picks up?
Baskets
36% of its orders also include packing cubes
If this sells out, which other sales are at risk?

Before changing one thing, check all three.Weigh margin, seasonal demand and connected purchases together.

Illustrative product story · synthetic data · basket figures use a separate 12-month window

Inside your next product decision

Less guesswork.
More to go on.

Explore four ways Adsage turns product data into useful context for your advertising, purchasing and merchandising decisions.

01 Ad spend & margins

See what your
ad spend leaves.

Revenue alone cannot tell you whether a product can support its advertising. Put ad spend next to product margin to see where the pressure starts.

  • Compare spend, conversion value, ROAS and cost of sales product by product.
  • Use a margin assumption, or import product margins and costs for a more specific view.
  • Find products with strong demand but weak ad returns, or little ad exposure.
What you gain

More control over your ad budget, with a clear view of the margin each product leaves after advertising.

Explore product performance
Weekender bag30-day example

4×return on ad spend

€1,200 in revenue€300 in advertising
What is left after ads?−€60
Gross margin (20%)€240
Ad spend€300

Advertising exceeds gross margin by €60.

Illustrative calculation · synthetic data · gross margin minus ad spend, before other business costs

02 Stock & purchasing

Put your next purchase
in the right products.

Some products need replenishment. Others need a plan for the stock already on the shelf. Adsage puts sales pace and available stock side by side.

  • See units sold per day and estimated days of stock cover.
  • Spot imminent runouts and high-demand products with little stock left.
  • Identify slow movers and products with stock but no sales in the selected period.
What you gain

More confidence in what to buy and how much, with stockout risks and money tied up in slow sellers clearly visible.

Explore inventory analysis
What needs replenishing first?30-day sales pace
Travel backpack

14 units ÷ 2 a day

7days of cover

Estimated availability by day

Days 1–7: In stockDay 8: Out of stock

Can your next delivery arrive before day 8?

Weekender bag60 units · 0.5 sold / day

120 daysReview before reordering

Packing pouch84 units · no sales in 30 days

Dead stockRethink the stock you have

Synthetic example · assumes the same sales pace and no replenishment · requires imported stock; supplier lead times excluded

03 Demand & seasonality

Stock before the rush.
Promote with the season.

The right product at the wrong time ties up cash. Use sales patterns to plan what to stock before demand rises, what to promote during the season and what to clear as it fades.

  • Before the season: review which products to replenish, allowing time for delivery.
  • During the peak: focus promotions on products with stock and margin to support them.
  • As demand falls: review leftover stock for targeted offers before reordering.
What you gain

A better sense of what to stock and when to promote it, with less cash left sitting on the shelf after the season.

Explore sales & stock
Travel backpackIllustrative seasonal plan

Be ready
before the peak.

Monthly sales · relative to peak Example year
Summer peak An illustrative summer season for travel backpacks Sales are low in winter, rise from March to June, peak in July and fall after August. Plan stock in March to May, support peak sales in June to August and review remaining stock for offers in September and October. This is synthetic data, not a forecast.

Mar–May · Ahead of the peak

Order for the season ahead.

Review backpack stock against the seasonal upswing. Work back from when you need it on the shelf, allowing for supplier lead time.

Will the delivery arrive before the rush?

Jun–Aug · While demand is strong

Promote what you can supply.

Feature backpacks while shoppers are looking. Check available stock and margin before adding a promotion or a discount.

Can stock and margin support the offer?

Sep–Oct · As the season winds down

Plan an offer for what is left.

If backpack stock remains as sales slow, consider a targeted offer or bundle. Review the next order before committing more cash.

What should move before the quiet months?

Illustrative planning example · synthetic seasonal pattern, not a forecast · timing depends on your products, market and supplier lead times

04 Baskets & cross-sell

Build your next bundle
from actual baskets.

See which products contribute the most value to a basket, which tend to accompany them and what customers spend when they buy together. Give your next cross-sell test a starting point in real purchase behaviour.

  • Find frequently bought-together products and their shared-order counts.
  • Compare single-product and multi-product basket values.
  • Explore basket roles, accompanying purchase value and the strength of the evidence.
What you gain

More opportunities to grow basket value, based on the products your customers already buy together.

Explore basket analysis
What sells with the backpack?200 orders · 12 months
Travel backpack
36%of backpack orders
Packing cubes
72 shared orders.A pairing worth testing.
Travel bottle48 orders · 24%
Luggage tag30 orders · 15%

Backpack-only orders€60average order value

With other products€92average order value

Synthetic 12-month example · partners can appear together · observed basket values, not predicted uplift

Data imports, inventory, demand momentum and basket analysis are available on Enterprise and Agency. Stock cover needs stock quantities; basket analysis needs a complete year of GA4 order data.

Put these insights to work

Put your next move into practice

Turn product insights into
better Shopping decisions.

Build product groups around margin, performance and untapped demand. Give each part of your catalog a clear role in Shopping and Performance Max.

Your catalog. Three next moves.Illustrative product groups

ScaleBack proven performers

Find products with strong ROAS and room in their margin. Add stock criteria when inventory data is available.

Example labelScale candidates

ProtectReview inefficient spend

Separate products below your targets or at margin risk. Use the group to review spending and exclusions.

Example labelMargin review

TestGive overlooked products a chance

Find products with few or no ad impressions, but GA4 views, carts or purchases. Build a group to test their potential.

Example labelTest candidates
Your rules Merchant Center labels Shopping / PMax product groups

You configure the campaign groups, bids and budgets.

Choose the data behind the decision.

Measure rules using Google Ads, GA4 or imported sales. Use GA4 shopper behaviour to add context beyond ad-attributed sales.

Let the product groups keep up.

Set a 7, 14, 30 or 90-day evaluation window. Schedule daily or weekly label updates as product performance changes.

See what changes. Keep control.

Preview matching products, add manual exceptions and follow which products enter or leave an active signal.

Signals from Growth.
Own data imports and inventory rules from Enterprise.

Explore Shopping signals

From data to action

Your store.
Your decisions.
A clearer view.

Adsage is ecommerce decision support for store owners and their teams. You choose what to change.

  1. Connect the pieces

    Sign in with Google and connect your Google Ads, Merchant Center and GA4 accounts.

  2. Add your business context

    Set margin assumptions. On Enterprise and above, import product margins, costs, stock or your own sales data using CSV, Excel or a supported URL.

  3. Create your rules. Put them to work.

    On Growth and above, preview matching products, connect the label feed to Merchant Center and use those labels in your Shopping or Performance Max product groups.

Start with a healthier product feed.

Check missing identifiers, product attributes and content issues before they hold your catalog back.

Run a free feed audit

Plans that build on each other

Choose the depth you need.

Start with product performance. Add Shopping signals, then your own data, inventory and basket analysis.

Starter

Get a clearer view of product performance.

Ask for pricing

Up to 5 dashboards

  • Core product analytics
  • Google Ads, GA4 & Merchant Center data
  • Product performance exploration
Ask about Starter

Growth

Put product insights to work in Shopping.

Ask for pricing

Up to 5 dashboards

  • Everything in Starter
  • Shopping / PMax product labels
  • Custom rules & scheduled refresh
  • CSV exports & dashboard sharing
  • Channel insights
Ask about Growth

Enterprise

Bring stock, margin and baskets into the picture.

Ask for pricing

Up to 10 dashboards

  • Everything in Growth
  • Your own product data imports
  • Inventory & sales velocity
  • Basket & cross-sell analysis
Ask about Enterprise

Agency

Extend the same workflow across more stores.

Ask for pricing

Unlimited dashboards

  • Everything in Enterprise
  • Unlimited dashboard capacity
  • Optional AI access via MCP
Ask about Agency

Inventory and basket analysis require Enterprise or Agency and the relevant source data. The public demo shows these advanced views.

Before you connect

A few useful answers.

Have a question about your store?

Talk to us
Is Adsage a fit for my webshop?

Adsage is built for ecommerce stores with active Shopping or Performance Max campaigns. To get started, you need access to the Google Ads, Merchant Center and GA4 accounts used by your store. Suitability depends on your data setup rather than a particular webshop platform.

Do I need margin or stock data to get started?

No. You only need to connect Google Ads, Merchant Center and GA4. Product margins, costs and stock quantities are optional additions for more detailed analysis. Margin figures reflect the data and assumptions you supply; they are not a full net-profit calculation.

Does it change my campaigns, prices or stock?

Adsage can update product custom labels through a Merchant Center supplemental feed. Your configured Shopping and Performance Max groups use those labels to guide product selection. Adsage does not directly change bids or budgets, reprice your store or place stock orders.

Can it find upsell and cross-sell opportunities?

Basket analysis shows which products sell together, which tend to lead an order and the value of accompanying purchases. Use these findings to plan cross-sells and bundles, and inform upsell tests. Adsage does not place offers in your checkout or guarantee a higher order value.

What do optional stock and basket views need?

You can use Adsage without importing stock or margin data. For the optional stock-cover view, GA4 sales and imported stock quantities show sales velocity and estimated days of cover. Basket analysis uses a complete year of GA4 order-level purchase data, including transaction and product identifiers. These advanced views are available on Enterprise and Agency.

Can I look around before connecting my accounts?

Yes. The public Demo Commerce dashboard is available without signing up and uses synthetic data. You can also run the free feed audit with a supported public product-feed URL.

Make your next move
with the full picture.

Bring your product data together. Find where to focus.

Get started with Adsage