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When you set up a campaign, Google asks how you want to bid. It comes down to two approaches:
| Strategy | How it works | Comparison |
|---|---|---|
| Manual CPC | You tell Google exactly how much you are willing to pay per click for a keyword (e.g., $2.50). | You are in full control, like driving a manual car and choosing every gear. |
| Automated (Smart) bidding | You tell Google your goal (e.g., "Get me as many sales as possible") and Google’s AI sets the bid for every auction. | It is like a self-driving car. |
Which one is better? It depends on how mature your account is.
The pros:
| No surprises | You won’t pay $10 for a click if you set your maximum at $2. |
| No data needed | You can start on day one without any conversion history. |
| Granular control | You can bid high on "red shoes" and low on "blue shoes" based on your own stock levels. |
The cons:
| Time-consuming | You have to log in regularly to adjust bids. |
| Limited signals | You can’t adjust bids in real time based on signals like the user’s device, location and time of day combined (Google’s AI can). |
This includes strategies like Maximize conversions, Target CPA and Target ROAS.
The pros:
| Saves time | The AI adjusts bids for every auction automatically. |
| More signals | Google uses signals you can’t see in your reports, such as device, location, time of day and browsing context. |
| Often better results | Once it has enough data, it often outperforms manual bidding. |
The cons:
| Needs data | The AI learns from conversions. A common rule of thumb is around 30 conversions in the past 30 days. On a brand-new account, results can swing or spend can run high while it learns. |
| The "black box" | You don’t always know why it bid $5.00. You have to trust the system and monitor results. |
Automated bidding relies on your past data. It looks at your history and asks: "Who converted from these ads before? Let’s find more people like them."
The danger: If many of your past clicks and conversions came from bots or competitors (and you didn’t block them), Google’s AI may treat them as your "ideal customers."
It may optimize your campaign to find more bots.
It may spend your budget on click farms instead of real buyers.
The solution: Keep your data clean. ClickSambo blocks invalid clicks so the data Google’s AI learns from comes mostly from real people. Clean data, smarter AI.
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