Product feed for Google Ads

#5

1. 01

   Why does it matter?

   Products that only generate cost in an ad platform lower return on investment and profitability, and raise storage costs.

   One of the main goals of PPC is to reduce their number — by activating them or managing them in a controlled way to stop wasting budget.

2. 02

   How to check if the problem exists?

   Data Octopus shows daily how many products generated cost but no revenue in the last 30 days.

   You can also check it in Google Ads: Products tab, filters conversion value < 1 and cost > 0.

3. 03

   How to use the feed in your ad account?

   These products get a feed label such as “NoPurchaseCost”. Move them to a separate PMAX or Shopping campaign with a moderate budget and remove them from other campaigns.

   Start with a loose bid strategy — maximise conversions or conversion value, no tROAS — to increase visibility. Products that start selling return to standard campaigns on their own, and new budget drainers join automatically. Consider pausing those that still don't sell after a few weeks despite good price and stock.

4. 04

   How to measure results?

   Measure growth in revenue, units sold and ROAS for products in the label, and a falling number of products in it. Review weekly.

#11

1. 01

   Why does it matter?

   New products go straight into standard campaigns and get lost in the crowd, or the algorithm deems them unprofitable before they collect enough impressions for a fair judgement.

   As a result they may never reach their potential — or take a very long time to.

2. 02

   How to check if the problem exists?

   Check how many products were added in the last 30 days. If it's at least 10% of your range or over 100 products, they're worth separating.

3. 03

   How to use the feed in your ad account?

   Data Octopus writes new products to a feed label such as “new product”. After 30 days they leave the label automatically and return to standard campaigns — or lock refreshing to keep them under control longer.

   Create a product campaign for new items only, with its own budget. Skip tROAS and CPA targets — maximise conversions or conversion value so the algorithm can learn.

4. 04

   How to measure results?

   Measure revenue and traffic from new products, and whether the campaign sells directly or supports other campaigns.

#12

1. 01

   Why does it matter?

   Decisions based only on ROAS and revenue end up scaling low-margin or even unprofitable products.

   They also starve products with lower ROAS but higher margin — the ones that actually make money.

2. 02

   How to check if the problem exists?

   If your campaigns don't show the margin of each product, the problem exists. Feed margins into Data Octopus — from your store engine, a file (CSV, Google Sheets) or BigQuery. Two columns are enough: product or variant ID and margin (percentage, amount or purchase cost).

   Data Octopus combines margin with ad cost and revenue, so you see profit, not just ROAS.

3. 03

   How to use the feed in your ad account?

   Data Octopus groups products into margin tiers and writes them to a feed label, e.g. high, medium, low margin. Create campaigns per tier with different ROAS targets — give high-margin products more room and budget, set a higher target for low-margin ones.

   Budget then moves to where the most profit remains.

4. 04

   How to measure results?

   Measure profit after ad spend (e.g. POAS), not just ROAS, and the share of high-margin products in campaign revenue.

#8

1. 01

   Why does it matter?

   Customers who buy often and spend a lot drive high ROAS and campaign revenue.

   Your ads should reach them first — to keep them in your store and away from competitors.

2. 02

   How to check if the problem exists?

   Connect Data Octopus to your store engine. Customers are split automatically into RFM segments (how recently, how often and how much they buy).

   Pick the 2–3 most valuable segments — highest total revenue, average order value and order count.

3. 03

   How to use the feed in your ad account?

   For each segment Data Octopus builds a Customer Match list behind a protected link, refreshed automatically. Upload it to Google Ads or Meta Ads — review takes up to 24 hours.

   Use the list as an audience signal in product campaigns, for direct targeting (e.g. Demand Gen with ad groups by category or brand) or as a lookalike seed.

4. 04

   How to measure results?

   Track revenue and ROAS of campaigns using the list, and list size in Data Octopus and your ad account. Fewer customers in at-risk segments means they're becoming active again.