AdvisorPPC
All solutions

For your industry

Acquire customers who have a reason to return.

Bring feed health and campaign decisions into the same conversation as product margin, fulfilment and repeat purchasing.

Start my account review
Paper product boxes follow a branching path toward a repeat-order loop and a separate review tray.
Concept illustration: review product economics and repeat purchasing before increasing acquisition spend.

A worked example

What could one improvement be worth?

See the assumptions, then use your own numbers. These examples explain contribution, not take-home earnings or an expected result from AdvisorPPC.

A hypothetical ecommerce scenario showing how contribution per order can change the value of the same order count.

What’s in this video

  • 0:00Orders look steady
  • 0:7.542Label the assumptions
  • 0:14.958Measure real outcomes
  • 0:22.5Inspect paid traffic
  • 0:29Same hundred orders
  • 0:36.667Potential needs proof

Full transcript

AdvisorPPC starts with a familiar problem: stable order counts can hide changing contribution.

Use order count and contribution per order as explicit assumptions, never unexplained revenue claims.

TrackPPC can measure purchase attribution when the store's implemented event path supports reliable values.

Shield adds paid-click evidence, while your team decides what the evidence actually supports.

Assume contribution rises from twenty to twenty-five dollars across one hundred orders: five hundred more.

Use your own numbers. Start your AdvisorPPC account review, and choose your next change with evidence.

Start my account review

Ecommerce PPC management should connect acquisition decisions to product margin, repeat purchases and reliable conversion measurement.

The next order should make business sense.

Illustrative scenario

Imagine a replenishment brand whose best-selling product gets most of the ad budget. Orders look healthy, but returns, fulfilment costs and discounting change the picture.

Start with the products you can fulfil profitably. Review campaign and feed issues alongside your own margin and repeat-order records, then approve a focused change instead of expanding every campaign at once.

What to measure

Compare acquisition cost, contribution after fulfilment and repeat purchasing over the same customer window. A reported conversion alone cannot establish profit.

Best suited to established stores with repeat-purchase potential, dependable fulfilment and someone accountable for product economics.

Discuss your account and workflow

What is getting in the way

A handful of products absorb the budget and return nothing, and finding them by hand takes a morning.
Disapprovals and feed errors quietly shrink reach before anyone notices.
Performance Max is a box with a budget going into it and very little coming back out as explanation.

How your AI manager handles it

Product-level waste, found and cut

Wasted spend gets hunted across search terms, placements and keywords, filtered down to the product level so you see exactly which SKUs are burning budget, while budget rebalancing shifts spend toward what actually converts, weekly on Pro and daily from Max upward.

The feed gets watched, not assumed

Merchant Center account health and datafeed status get checked, products get inserted, updated and batch-uploaded, and a feed fetch can be triggered on demand, so disapprovals and feed errors get caught before they shrink your reach.

PMax you can actually see into

Shopping and Performance Max campaigns get built and managed side by side, with asset-group strength checked and PMax asset packs built from your brand voice, so a Performance Max budget stops being a black box.

FAQ

The questions we get most about this industry.

Yes, within feed management: account health and datafeed status get checked, products get inserted, updated and batch-uploaded, and a feed fetch can be triggered on demand once you approve the change, instead of waiting for the next scheduled fetch.

Also worth reading