顧問服務 Advisory Service
每一塊廣告費的真實貢獻，算給你看。我們不代理媒體、不收回扣，所以答案不會偏向任何平台。 We measure what every ad dollar actually contributes. We sell no media and take no rebates — so the answer never favors a platform.
MMM（Marketing Mix Modeling，行銷組合模型）是用統計模型量化每個媒體渠道——電視、數位、OOH、KOL、促銷——真實業績增量的方法。它不依賴 cookie 追蹤、不受 iOS 隱私政策影響，適合月媒體預算 NT$10 萬以上、多渠道投放的品牌。 MMM (Marketing Mix Modeling) uses statistical models to quantify the true incremental revenue of each media channel — TV, digital, OOH, KOL, promotions. It relies on no cookies and is unaffected by iOS privacy changes. Best suited for brands spending NT$100K+/month across multiple channels.
還不確定該從哪裡下手？先用 5 分鐘做免費的《DTC 品牌電商體質健檢》自評，看看追蹤健康度、漏斗完整度、歸因可信度與 CRM 成熟度目前落在哪個水準，再決定要做健診還是完整 MMM。開始自評 → Not sure where to start? Take the free 5-minute DTC E-commerce Health Check to see where you stand on tracking health, funnel completeness, attribution credibility, and CRM maturity — then decide whether you need the audit or the full MMM. Start the self-check →
01
每個平台都在搶功 Every platform claims the credit
同一筆訂單，Meta 記一次、Google 記一次、聯盟行銷再記一次。把各平台轉換加總，常常是實際營收的兩到三倍。 The same order gets counted by Meta, again by Google, again by affiliates. Summing platform conversions often yields 2–3× your actual revenue.
02
ROAS 算不出「本來就會發生」的業績 ROAS can't see what would've happened anyway
品牌字廣告攔到的訂單，很多本來就會來。平台 ROAS 把這些全算成廣告功勞——增量才是你該付錢買的東西。 Branded-search ads intercept orders that were coming anyway. Platform ROAS counts them all as ad-driven — but incrementality is what you're actually paying for.
03
看不到線下與長效渠道 Offline and long-effect channels are invisible
電視、OOH、KOL 的效果進不了平台歸因報表，結果是預算系統性地流向「可追蹤」而不是「有效」的渠道。 TV, OOH, and KOL effects never show up in attribution reports — so budget systematically drifts toward what's trackable, not what works.
你可能沒發現的另一筆帳 The Budget You Haven't Audited Yet
多數廣告健診只看渠道與渠道之間怎麼分配，卻漏掉另一半戰場：廣告花費與商品力投資之間的資源錯配。很多電商品牌，廣告預算被緊盯到小數點，但商品頁優化、站內版位、內容素材的實際效益卻從沒被驗證過——結果是同一筆「爭取曝光與轉換」的預算，一半有數據支撐，一半純粹憑經驗喊價，甚至是「去年就這樣談，今年照簽」。 Most audits only ask how budget is split channel-to-channel — missing the other half of the battlefield: the gap between ad spend and product-competitiveness investment. Many e-commerce brands scrutinize every dollar of ad spend down to the decimal, while product-page optimization, on-site placement, and content spend go completely unverified — so half the "visibility and conversion budget" is data-driven and the other half is a guess, or worse, "that's just what we agreed to last year."
GROVA 的媒體與商品力體檢，是在既有的媒體效益健診之上，加做一層「商品力投入 vs. 媒體投放」的交叉驗證：同樣的曝光與轉換目標，錢是不是花在對的地方？哪一邊的投資報酬被低估、哪一邊被高估？ GROVA's Media & Product Competitiveness Diagnostic adds one more layer on top of the standard media audit: cross-checking product-competitiveness investment against media spend for the same visibility and conversion goal — which side is underfunded, and which is overpaying?
這不是憑空猜的：GROVA 顧問團隊成員具備 MBA 學歷，曾任跨國消費品牌行銷主管，職涯橫跨 QSR、FMCG、美妝、零售、軟體新創與金融服務、電商通路——媒體預算跟商品頁優化預算，都是自己批過、自己扛過結果的。兩本帳分開審，各自都看起來合理；攤在一起看，才抓得到整個團隊都沒發現的洞。同一套方法論，現在用在既有客戶的 MMM 專案與通路治理顧問工作上。 This isn't a guess: GROVA's advisory team holds MBAs and includes a former marketing lead at multinational consumer brands, with experience spanning QSR, FMCG, beauty, retail, software startups, financial services, and e-commerce channels — someone who has personally signed off on both media spend and product-page/on-site budgets, and owned the results. Reviewed separately, each budget looks reasonable; laid side by side, that's when the gap the whole team missed shows up. The same methodology is already running in GROVA's live MMM and channel-governance engagements.
流程很直接：先由 GROVA 分析團隊盤點你現有的媒體花費與通路陳列／上架資源紀錄，接著安排一次約 30–45 分鐘的訪談，釐清哪些預算決策從來沒有被驗證過。結束後交付一份一次性診斷報告，並安排一次簡報會議親自說明結論，不是丟一份 PDF 就結束。 The process is straightforward: GROVA's analysis team first reviews your existing media spend and product-page/on-site budget records, then schedules a 30–45 minute interview to identify which budget decisions were never actually verified. You receive a one-time diagnostic report, walked through in a briefing call — not just dropped in your inbox.
| 面向Dimension | 廣告預算健診（輕量版）Ad Budget Audit (Light) | 完整 MMM 專案Full MMM Project |
|---|---|---|
| 週期Duration | 約 3–4 週~3–4 weeks | 約 6–8 週~6–8 weeks |
| 適合對象Suited for | 月媒體預算 NT$5–10 萬，或資料尚不完整NT$50–100K/month spend, or incomplete data | 月媒體預算 NT$10 萬以上、多渠道投放NT$100K+/month across multiple channels |
| 方法Method | 歸因異常盤點、重複計算檢查、明顯浪費定位Attribution sanity checks, double-counting review, waste spotting | 跨渠道統計建模，含 holdout 驗證Cross-channel statistical modeling with holdout validation |
| 交付Deliverable | 浪費清單＋資料收集規範＋是否值得做完整 MMM 的判斷Waste list + data spec + a clear go/no-go on full MMM | 各渠道增量 ROI＋預算重分配方案＋監控儀表板Incremental ROI by channel + reallocation plan + monitoring dashboard |
團隊實績：GROVA 團隊成員曾於跨國消費品牌任職期間，建立並維運 136 週的 MMM 全管線——在媒體預算零成長的前提下，媒體 ROI 提升 30% 以上。因保密義務，品牌名稱不公開；洽談時可提供可驗證的細節。 Track record: A GROVA team member built and ran a 136-week MMM pipeline at a multinational consumer brand — lifting media ROI by 30%+ with zero budget growth. Brand name withheld under confidentiality; verifiable details available in conversation.
我們在健診中最常遇到的狀況：品牌以為問題出在「廣告不夠有效」，但拆解後發現，真正的問題是「渠道之間、甚至媒體與通路陳列之間的資源分配，從來沒有被驗證過」——有的渠道被過度投資，有的被完全忽略。找出這個落差，往往比再加碼任何單一渠道更划算。 The pattern we see most often: a brand assumes the problem is "ads aren't working," but once we break it down, the real issue is that resource allocation — between channels, or between media and product competitiveness — was never verified in the first place. Some channels are overfunded, others ignored entirely. Closing that gap usually beats pouring more into any single channel.
先把價格講清楚，你才知道值不值得約這通電話： Let's put the numbers on the table first, so you can decide if the call is worth your time:
不確定該選哪一種？不用自己猜——填寫表單說明現況，第一次 30 分鐘診斷通話不收費、不推銷。 Not sure which fits? You don't have to guess — submit the form and tell us your situation. The first 30-minute diagnostic call is free, no pitch.
GA4 與各廣告平台的歸因是「追蹤個別用戶點擊路徑」，只看得到可被追蹤的數位行為，而且每個平台都會把同一筆訂單記到自己頭上。MMM 是由上而下的統計方法：用歷史業績與各渠道投放資料建模，量化包含電視、OOH、促銷在內所有渠道的增量貢獻，不依賴 cookie 追蹤，也不受 iOS 隱私政策影響。兩者互補，但預算分配決策應以增量為準。 GA4 and platform attribution track individual click paths — they only see trackable digital behavior, and every platform credits itself for the same order. MMM is top-down: it models historical revenue against channel spend to quantify incremental contribution across all channels, including TV, OOH, and promotions. No cookies required, unaffected by iOS privacy changes. They complement each other — but budget decisions should follow incrementality.
核心需求是：至少 18–24 個月的週別（或日別）業績資料、各媒體渠道的花費與投放紀錄，以及重大促銷與價格變動的時間點。資料不全時可以先做輕量版廣告預算健診——用現有資料找出明顯的浪費與歸因異常，同時建立資料收集規範，等資料累積足夠再進入完整 MMM。 Core requirements: 18–24 months of weekly (or daily) revenue data, spend and flight records for each channel, and the timing of major promotions and price changes. If your data is incomplete, start with the lighter Ad Budget Audit — it finds obvious waste with what you have, and sets up the data spec so a full MMM becomes possible later.
完整 MMM 專案通常 6–8 週：資料盤點與清理約 2 週、建模與驗證約 3 週、預算重分配建議與交接約 2 週。模型建議每季或每半年用新資料更新一次，讓預算建議跟上市場變化。輕量版廣告預算健診約 3–4 週。 A full MMM project typically runs 6–8 weeks: ~2 weeks of data audit and cleaning, ~3 weeks of modeling and validation, ~2 weeks for the reallocation plan and handover. We recommend refreshing the model quarterly or semi-annually. The lighter Ad Budget Audit takes about 3–4 weeks.
一般建議每月媒體預算 NT$10 萬以上、且同時使用多個渠道（例如 Meta、Google、KOL、OOH）的品牌。預算太低或集中在單一渠道時，統計模型的信心區間會過寬，結論的決策價值就低。這種情況建議先從輕量版廣告預算健診開始。 Generally, brands spending NT$100K+/month across multiple channels (e.g., Meta, Google, KOL, OOH). With low or single-channel spend, the model's confidence intervals get too wide to act on — in that case, start with the Ad Budget Audit instead.
三層驗證：一、統計層面用保留樣本（holdout）檢驗模型預測力；二、商業層面把模型結論與實際促銷、斷貨等已知事件比對；三、行動層面在低風險渠道先做小幅預算調整實驗，驗證增量預估的方向。GROVA 的模型假設、資料來源與計算邏輯全部公開給你的團隊，不是黑箱。 Three layers: statistically, holdout samples test predictive power; commercially, model conclusions are checked against known events like promotions and stockouts; operationally, small low-risk budget shifts validate the direction of incremental estimates. All assumptions, data sources, and logic are open to your team — no black box.
先把兩邊的錢攤開放在同一張表上——廣告花費看的是渠道別即效與增量貢獻，商品力投入看的是商品頁優化、站內版位、素材與內容換來的曝光與轉換。兩邊都用同一套「是否可驗證」的標準檢視：哪一筆錢有數據佐證效益，哪一筆錢只是「大家都這樣做」。GROVA 的媒體與商品力體檢就是把這兩本帳放在一起算，找出真正被低估或被浪費的那一半。 Put both sides of the ledger on the same page — ad spend measured by incremental contribution per channel, and product-competitiveness spend measured by what product-page optimization, on-site placement, and content actually buy in visibility and conversion. Apply one standard to both: which dollars have evidence behind them, and which are just "what everyone does." GROVA's Media & Product Competitiveness Diagnostic runs both books together to find the half that's underfunded or wasted.
最直接的方法是找一個不代理媒體、不抽佣金的第三方，用你自己的原始數據（後台訂單、GA4、媒體後台匯出）重新核算一次，而不是只看代操公司給的成效報表。GROVA 的角色正是這個——我們不賣媒體，所以沒有動機幫代操公司說話，結論可能是「這筆預算合理」，也可能是「這個渠道該砍」。 The most direct way is to bring in a third party that sells no media and takes no commission, and have them recompute performance from your own raw data — backend orders, GA4, ad platform exports — rather than relying on the agency's own report. That's exactly GROVA's role: since we sell no media, we have no incentive to vouch for the agency. The conclusion might be "this spend is justified" or it might be "cut this channel."
不確定你的預算規模適不適合做 MMM？填寫表單說明你的渠道與大概預算，我們會在兩個工作天內告訴你該做健診還是完整建模——或都不用。 Not sure MMM fits your budget scale? Submit the form with your channels and rough spend — within two business days we'll tell you whether you need the audit, the full model, or neither.
填寫 MMM 諮詢表單 Submit MMM Enquiry →