I have a Google Ads campaign that has been running for about two months, and I’m now considering adding a CSS partner. Will this reset the campaign’s learning phase, or will the existing learning remain? Could adding a CSS partner affect the campaign’s performance, optimization, or overall operation in any way? Or should everything continue as usual? Has anyone had experience with this?

Do you pause products only when they spend a significant amount without any sales, or also products that generate sales but have consistently low ROAS? What metrics and timeframe do you use to make this decision — spend without conversions, ROAS, CPA, margin, or a combination? And do you use the same thresholds for all products, or adjust them based on product price, margin, and conversion volume?

Looking into switching to a CSS partner to get the ~20% bid boost in the Shopping auction instead of Google's own CSS — small UK Shopify store, ~$50-65/day PMax budget. Would love real experience from anyone who's done this: did CPC/ROAS actually improve or was it marginal, which partner and why, how disruptive was the switch (did it reset campaign learning), and any UK-specific pricing gotchas — trying to decide if it's worth doing before Q4 or better to wait.

New resource for premium members! Q4 is where your year gets made or lost. Most stores work that out in November. Too late. So we stopped guessing and built the season. Two full books. 👇 📊 What sits behind it - +200 of our own client accounts. Fashion and Home Decor - 7 months of real shopping data per account. August through February. The actual AW season, not a forecast. - +100 accounts in a fixed year over year cohort, so we can prove a peak repeated instead of hoping it did. - 35 categories scored. Product titles read in 8 languages. - 94% of fashion revenue and 97% of home decor revenue classified into a category. Nothing hand waved. - Every single category laid over Google search demand, month by month. 🎯 What's inside both books → The Season at a Glance: every category placed by how big it is and how long it stays hot → The Five Big Bets for the niche → The Master Timeline: what to upload, and the LAST safe day to upload it → How Long Each Trend Burns: some run 7 months, some run 1 → Season Headwinds: what kills the season, so you see it before it hits you → The Category Playbook: the actual play, category by category → What the outside world predicts, checked against what we actually sold 😳 Three things in there that will annoy you → One fashion category is 29.4% of all fashion revenue on its own. Demand index 100. Stays hot for 6 months. Most stores treat it as one line out of twenty. → Christmas Sweaters. Everyone's Q4 plan. They run for exactly 1 month and they are 0.7% of revenue. You're building a quarter around a rounding error. → In home decor, 84% of the money is lighting. Not cushions. Not wall art. Lighting. And the biggest one of all stays hot for 5 months. ⏰ Why this matters this week Proper PMax learning takes about six weeks. Google says the same thing: get ready at least six weeks before peak. It's already September. Count six weeks forward. Your Q4 upload deadline is this month. Every date in the report is the LAST safe day. Not the ideal day.

Over the last 7 days, I’ve achieved a 2.5x ROAS with a budget of €40 per day. When will I know if I can scale up, and what is the right amount to scale to? There are currently between 50 and 70 products in the campaign. When I scale up, do I need to add more products, and/or what other factors should I take into account?