TheBidStrategyBlindSpot
Automated bidding is Google's answer to scale. Let the algorithm decide what to bid, when to bid, and who to bid on. It's efficient, it's scalable, and it's largely correct - within the bounds of what it can measure.
The problem is what it can't measure.
What the algorithm doesn't know
- Your stock levels - it will bid aggressively on products you're about to run out of
- Your supplier lead times - it doesn't know that a restock takes 12 weeks
- Your cash position - it doesn't know you can't afford to fund a spike in spend
- Your return rates by product - it treats a high-return SKU the same as a low-return one
- Your payment terms - it doesn't know your net-60 invoices create a cash gap
Why this creates a structural problem
When bid strategies operate without commercial context, they optimise for the wrong outcome. They'll drive sales on products you can't restock. They'll scale spend when your cash flow can't support it. They'll treat every conversion as equal when your P&L says otherwise.
The result is a campaign that looks healthy in Google Ads and looks unhealthy in your accounts. The dashboard says you're winning. Your bank balance disagrees.
What to do about it
Feed your commercial reality into your bid strategy. Use profit-based bidding where possible. Segment campaigns by margin tier. Suppress bids on products with stock issues or high return rates. Build the guardrails that the algorithm can't build for itself.
Automation is a tool. It's not a strategy. The strategy is knowing what the tool can't see - and compensating for it.