Blog
AI ads insights
Three-platform playbooks, TikTok / Meta / Google case studies, and PPC automation best practices — written by the DEXUN AdWhiz engineering team.
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. At $50K/month ad spend you save $24,000+/year and skip the human turnaround delay.
We made DEXUN AdWhiz citable by AI — and it’s the same discipline as proving your ad savings
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 prove savings: claims must be machine-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 verifies the savings with a control group.
How to verify 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 produces a savings report a CFO can sign.
TikTok Spark Ads checklist: 7 moves to cut CPM by 40%
Pulled from data across 200+ TikTok accounts: 7 copy-paste optimizations covering creator selection, hook length, CTA placement, and retargeting cadence. Every line backed by real numbers.
Performance Max is no longer a black box: pipe PMax into Claude via MCP
Use the DEXUN AdWhiz MCP server to let Claude read PMax asset groups, search terms, and audience signals — then write optimization plans directly. Includes claude_desktop_config.json.
Case study: how a DTC apparel brand lifted cross-platform ROAS from 2.1x to 4.6x
An $80K/mo women's apparel brand reallocated budget across Google Search / Meta Lookalike / TikTok Spark via DEXUN AdWhiz over 3 months. ROAS up 119%. All data anonymized.
Is Meta Advantage+ actually better than manual Lookalike?
A/B test results across 50 client accounts. The answer might surprise you: Advantage+ wins on new and small-budget accounts, but manually tiered Lookalikes still hold an 18% ROAS edge above $20K/mo.
5 common myths about AI auto-bidding
"Just set Target ROAS and forget it" — wrong. We've watched too many accounts burn cash this way. What human oversight AI bidding actually needs across lifecycle stages, and how DEXUN AdWhiz automates the missing piece.