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AI 광고 인사이트
3대 플랫폼 운영 전략, TikTok / Meta / Google 사례 분석, PPC 자동화 모범 사례를 DEXUN AdWhiz 엔지니어링 팀이 직접 작성합니다.
이 콘텐츠는 영어와 중국어 간체로만 제공되므로 영어로 표시됩니다.
Why running three platforms at once is cheaper than one single-platform agency
A cost breakdown of the traditional agency model (15–20% per platform) vs DEXUN AdWhiz's flat three-platform subscription, worked through for a $50K/month ad-spend scenario — plus the agency turnaround delay.
How to find the right TikTok creators for your product: a 5-step method + vetting checklist
Finding creators isn’t "pick whoever has the most followers." Map your product to a content niche, choose a size tier, search hashtag clusters, vet every candidate — and know the difference between first-party data and scraped databases. Includes a copy-paste vetting checklist.
Ad-performance terms, decoded: ROAS, CPA, CTR, holdout, incrementality
The handful of terms you keep seeing in ad reports — ROAS, CPA, CTR, conversion rate, holdout, incrementality, attribution. One line each on what they mean, why they matter, and why incrementality is the one that actually tells you if your ads worked.
How to find wasted budget in your TikTok Ads (5 signals)
TikTok budget burns fast, and waste hides well. These five signals help you locate it quickly: high-CPA outliers, scaling low-ROAS campaigns, creative fatigue, audience overlap, and feeding campaigns that should be paused.
How to split ad budget across Google, Meta, and TikTok
There’s no magic split across the three platforms — but a few principles keep you out of trouble: separate intent from discovery, move budget by marginal (not average) ROAS, test-then-shift in small steps, and never set-and-forget.
We made DEXUN AdWhiz citable by AI — and it’s the same discipline as measuring your ad savings honestly
Some AI ad tools sell "get cited by ChatGPT / add Schema" as a prompt skill you buy. We just did it on our own site — because it follows the same principle as how we measure savings: claims must be checkable, not self-asserted.
Looking for an AdWhiz alternative? Ask these 4 questions first
More than one product uses the name "AdWhiz." If you are choosing an AI ad-optimization tool, four checkable questions separate them: control group, TikTok, refund guarantee, and a disclosed operator.
How cross-border sellers open a TikTok ad account — and actually make it profitable
For China-based cross-border sellers, the hardest part of TikTok Ads is often step 0: opening and funding an advertiser account. But opening is just the entry ticket — what decides profit is whether someone optimizes it afterwards and compares the results against a control group.
How to check whether AI ad optimization actually saved you money (use a control group)
Every AI ad tool claims it "improved performance." The honest question is: compared to what? Here is why a self-reported "+X%" is not trustworthy, and how a randomized holdout gives you an honest comparison with an uncertainty range.
TikTok Spark Ads checklist: 7 moves to lower CPM
7 copy-paste optimizations covering creator selection, hook length, CTA placement, and retargeting cadence — common practitioner rules of thumb to test on a small budget in your own account.
Performance Max + Claude: bring your AdWhiz recommendations into the chat via MCP
Use the read-only DEXUN AdWhiz MCP server to bring your connected accounts and AI recommendations into Claude, then pair them with PMax reports exported from Google Ads to work through optimization ideas. Includes claude_desktop_config.json.
Illustrative example: how a DTC apparel brand could reallocate budget across three ad platforms with AI audits
An illustrative scenario: an $80K/mo women's apparel brand reallocates budget across Google Search / Meta Lookalike / TikTok Spark over 3 months, guided by DEXUN AdWhiz's AI audit recommendations. The figures are illustrative, not a specific client's results or a promise.
Is Meta Advantage+ actually better than manual Lookalike?
Distilled from Meta official case studies and public industry A/B research. The answer might surprise you: Advantage+ tends to win on new and small-budget accounts, while manually tiered Lookalikes often retain an edge above $20K/mo.
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.