Guide

5 common myths about AI auto-bidding

"Just set Target ROAS and forget it" — wrong, and an easy way to burn cash. What human oversight AI bidding actually needs across lifecycle stages, and where DEXUN AdWhiz can help.

·อ่าน 7 นาที·ทีมวิศวกร DEXUN AdWhiz

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AI auto-bidding (Google Smart Bidding, Meta CBO, TikTok Smart+ Bidding) is convenient — but never "set and forget". Below are 5 common — and expensive — mistakes.

Myth 1: Switch to Target ROAS on day one

New accounts don't have enough conversion data for the algorithm to learn from. Google's own guidance: at least 50 conversions per campaign in the last 30 days before switching to Target ROAS. Use Max Conversions first to let the algorithm collect signal.

Myth 2: Set Target ROAS at your goal

If your goal is 4x ROAS, set Target ROAS to 400%? Wrong — this constrains Google from exploring new traffic. Field practice: set Target ROAS 20-30% below your goal (e.g., 280-320% target), giving the algorithm room to explore. The actual delivery usually lands close to your true target anyway.

Myth 3: Account structure doesn't matter, AI handles it

Wrong. AI bidding ceiling is bounded by account structure — keyword grouping, conversion tracking accuracy, negative keyword completeness. Bad structure + advanced AI = still bad.

Myth 4: Keep Target ROAS through major sales

Black Friday, Singles' Day — short, intense promos. The algorithm can't recalibrate fast enough — it predicts based on normal conversion patterns, but user behavior is completely different during peak. Field practice: 3-5 days before the promo, switch to Max Conversion Value or Max Clicks (if you're in awareness mode), then switch back after.

Myth 5: Same ROAS target across platforms

Google Search at 4x ROAS may be reasonable, but the same 4x on TikTok Spark Ads is near-impossible — TikTok has shorter attribution windows and higher first-touch costs. Right approach: set per-platform based on each platform's CPM / CVR baseline.

Where DEXUN AdWhiz helps in the bidding layer

  • No forced advice on thin data: when history is too short, the budget optimizer returns "insufficient data" instead of an unreliable suggestion
  • Built on your own data: AI recommendations read the recent spend, conversions and ROAS of each campaign in your connected accounts and point out the laggards
  • You decide: AdWhiz recommends and never changes a bid or budget on its own; whether and how to change one is your call
  • Three platforms side by side: Google / Meta / TikTok performance compared in one dashboard instead of three ad managers
A deeper bidding strategy article is in the works. If you have a specific bidding question, email [email protected] — we'll look at your account directly.

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