Blog

Approfondimenti sugli annunci con IA

Strategie per le tre piattaforme, casi di studio TikTok / Meta / Google e best practice di automazione PPC, scritti dal team di ingegneria di DEXUN AdWhiz.

Questo contenuto è disponibile solo in inglese e cinese semplificato, quindi viene mostrato in inglese.

Strategy

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.

·8 min di lettura
TikTok Creators

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.

·7 min di lettura
Basics

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.

·5 min di lettura
TikTok

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.

·6 min di lettura
Strategy

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.

·6 min di lettura
AI & Growth

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.

·6 min di lettura
Comparison

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.

·5 min di lettura
TikTok & Cross-border

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.

·6 min di lettura
Methodology

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.

·6 min di lettura
Checklist

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.

·12 min di lettura
Tools

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.

·10 min di lettura
Illustrative Example

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.

·15 min di lettura
Strategy

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.

·6 min di lettura
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.

·7 min di lettura

Sfoglia per argomento

TikTok AdsSpark AdsPerformance MaxLookalikeParole chiave escluseRiduzione del CPAROASAdvantage+MCPClaudeAutomazione con IAChecklist di auditRetargetingTest delle creativitàStrategia di offertaQuality ScoreStruttura delle campagneInsight sul pubblicoTest A/BAttribuzione