Pull up your 2026 deck. Run three 30-second checks. From eleven APAC briefs reviewed in seven weeks, nine had at least two of these signs. Here's how to spot them — and fix them — before lock.
In short: Open your 2026 9.9 deck. Run three checks. Sign 1 — search for 'chat'; if it only appears under support, conversation commerce is missing as a workstream. Sign 2 — read the customer slide; if it could have come from your 2024 deck, you're planning for a 2025 customer who no longer exists. Sign 3 — compare the measurement model to last year's; if five out of five match, you'll measure 2026 with 2025 metrics and miss where the real performance happened. Two of three signs means the plan is structurally last year's. The fixes — chat workstream, marketing intelligence on first-party data, attribution rebuild — take weeks, not quarters.
Contents
Over the last seven weeks I reviewed eleven 9.9 briefs from APAC marketing teams. Different categories, different markets — Singapore, Malaysia, Indonesia, the Philippines. Some of the brands are big. Some are mid-size. All of them are running 9.9 as a primary campaign window.
Nine of the eleven had at least two of the same three signs. The signs aren't obvious on the surface — the decks looked different. Different creative directions, different budgets, different agency names on the front page. But structurally, the plans were last year's. The three signs tell you how to check yours in under two minutes.
If 'chat' in your 2026 9.9 deck only appears under support or post-purchase, conversation commerce is missing as a workstream. The buying decision moved into chat surfaces a year ago. The 2025 plan didn't follow. The fix is one slide with four answers — single meeting to build.
Open the deck. Ctrl+F for the word 'chat.' Where does it appear?
In eight of the eleven briefs I reviewed, 'chat' appeared in one of two places — under the support section ("chat support will be staffed for 9.9") or under post-purchase ("returns handled via chat"). Nowhere in the acquisition workstream. Nowhere in the consideration phase. Nowhere in the moment a shopper on Shopee or Lazada opens a product page, sees a question they need answered, and clicks the seller chat button before deciding whether to add to cart.
That buyer moment — pre-cart, high intent, waiting for an answer — has grown significantly in the last twelve months. APAC shoppers have moved a real share of their pre-purchase hesitation into chat surfaces. Shopee chat, Lazada chat, brand WhatsApp, Instagram DMs. The conversation commerce surface is where a meaningful share of the 2026 buying decision is happening.
The 2025 plan treated chat as a support cost. The 2026 plan needs to treat it as a revenue surface. That's not the same workstream. It requires different resourcing — AI agents rather than BPO headcount, integrated D2C attribution rather than ticket-count metrics, and a brief slide that answers four questions: who is selling on chat during 9.9, AI or human or hybrid; what recovery flow exists for cart abandons that started in chat; how is chat-surface revenue attributed in the measurement model; what's the AI agent briefed on for 9.9 that it isn't briefed on for a normal week.
The fix is one slide in the brief. It takes one meeting to build. The teams that haven't built it yet aren't behind — they just haven't been given the brief frame that makes it obvious.
If your customer slide could have come from your 2024 deck without much modification, you're planning for a 2025 customer who no longer exists. The fix isn't rewriting the slide — it's building the marketing intelligence layer on your own first-party data underneath it. Two weeks of work.
Find the customer slide. It's usually near the front of the brief — "who we're speaking to this 9.9." Read the description. Now ask: could this description have come from the 2024 brief?
In most of the briefs I reviewed, the answer was yes. The customer description was based on research conducted in 2023 or early 2024. Updated with a few new data points from a platform insight report. But structurally the same profile — the same segments, the same behavioural descriptors, the same pain-point framing.
The problem isn't the research team. The problem is that building a genuinely updated customer view requires running marketing intelligence on the brand's own first-party data — the 9.9 buyer data from last year, the 11.11 cohort, the 12.12 purchase patterns, the chat conversation logs, the post-purchase survey responses. AI cohort scoring on that data will surface things that a platform insight report cannot: which segments from 2024's 9.9 cohort actually came back for 11.11, which ones didn't, what changed in the buying behaviour of the returning cohort, which segments disappeared entirely and what new ones have appeared.
That's a different customer slide. It's built from the brand's own data, not a third-party panel. And it will produce a different brief — different segments prioritised, different creative angles, different channel weightings — because it's describing a real 2026 customer rather than an extrapolated 2024 one.
The fix is two weeks of marketing intelligence work on the brand's first-party data. Not a research sprint. Not a platform insight purchase. AI on data the brand already has.
If your 2026 attribution model matches your 2025 one on five out of five points — model, windows, headline metrics, tooling, cadence — you will measure a 2026 campaign with 2025 metrics. ROAS and total revenue will lie. The fix is marketing intelligence on integrated D2C, built in the 14 weeks before 9.9.
Find the measurement slide. Check five things: what attribution model is being used; what the attribution windows are; what the headline metrics are; what tooling is generating the numbers; what the reporting cadence is during and after the campaign.
Now compare to last year. If the answer on all five is the same as 2025 — last-click, 7-day and 30-day windows, ROAS and total revenue, platform dashboards, weekly during campaign and one post-review — sign three is present.
The attribution model being used in most 9.9 plans was built for a world where the buyer journey stayed inside a single platform. Last-click attribution made reasonable sense when most buyers clicked an ad and bought on the same platform in the same session. That buyer journey still exists. But in 2026 it shares the stage with a buyer who discovered the brand through an AI-mediated search, hesitated, asked a pre-cart question on Shopee chat, and converted four hours later on the brand's D2C site after a WhatsApp nudge from an AI agent.
Last-click + UTM tracking on that journey gives the D2C site the credit and attributes zero to the Shopee ad that started it, the AI search that validated it, and the WhatsApp agent that closed it. The post-9.9 review shows strong D2C conversion, weak Shopee performance, and no conversation commerce contribution. None of those reads are accurate.
The fix is building the integrated D2C attribution layer — connecting Shopee, Lazada, the brand's own site, and conversation commerce surfaces into a single customer view — and running marketing intelligence on top of it during the campaign window. Not built retrospectively. Built before 9.9 launches, so it runs during the campaign and the post-review is already instrumented.
The three signs aren't three separate problems. They're one structural gap showing up in three different places in the brief. The structural gap is the same in every case: the plan was built for the 2025 customer journey, using 2025 measurement tools, for a 2025 channel mix. The 2026 customer journey is different in ways that are large enough to matter for the brief.
30-Second Diagnostic
| 30-Second Check | If True, You Have | The Fix |
|---|---|---|
| Search deck for 'chat' — only appears under support | Sign 1 — Conversation commerce missing | Add 1 slide: who is selling, AI vs human, recovery, attribution |
| Customer slide could have come from 2024 deck | Sign 2 — Stale customer view | Build marketing intelligence on first-party data (2 weeks) |
| Measurement model matches 2025 on 5/5 points | Sign 3 — Wrong measurement layer | Build attribution rebuild on integrated D2C (14 weeks) |
The reason the same three signs appear across nine of eleven briefs isn't because the teams are behind. It's because the brief templates, the agency decks, and the dashboard tooling most APAC marketing teams are working from were built in 2023 and 2024. They're structurally 2025 instruments. They produce 2025-shaped plans — not because the plan was copied and pasted, but because the tools shape the plan.
The team that updated their creative direction but didn't update their measurement model is still running a 2025 plan. The team that upgraded their agency relationship but didn't add a conversation commerce workstream is still running a 2025 plan. The signs aren't about effort. They're about which layer of the plan has been updated and which hasn't.
RedDot Solutions builds the AI layer that fixes all three signs in parallel. Conversation commerce inside WhatsApp and platform chat. Marketing intelligence on your own first-party data. Integrated D2C attribution that turns six surfaces into one customer view. We work alongside your marketing agency — not instead of it.
Talk to RedDot about your 9.9 plan →The 9.9 plan diagnostic is designed to take under two minutes. Search for 'chat.' Read the customer slide. Compare the measurement model to last year's. The three checks take less time than reading this article.
If zero signs hit, the plan is structurally 2026. Hold and execute.
If one sign hits, the plan is 85% there. One gap to patch before lock — and the patching is fast. The missing chat slide is one meeting. The customer-slide refresh is two weeks. The measurement layer is the longest at four to six weeks, but it has the highest compound return because it runs for 11.11 and 12.12 automatically once built.
If two signs hit, there's a critical gap in the plan. The decision to address it or not is a team-shape question as much as a technical one — it affects resourcing, agency briefing, and what the post-9.9 review will be able to say. Make that decision this week, not in August.
If all three hit, it's a different conversation — not about patching the brief but about whether the team has the infrastructure to run a 2026 9.9 at all. The fixes compound when built together. Conversation commerce attribution feeds the marketing intelligence layer. The marketing intelligence layer feeds the attribution rebuild. The three signs are three entry points into the same gap.
Over the next few weeks I'll be publishing more on this — a deeper piece on the conversation commerce attribution layer and what the integrated D2C measurement setup looks like when all three surfaces are connected properly.
If you're a brand running on Shopee, Lazada, or D2C in APAC and the three signs hit — these pieces are written for you.
Follow along here for the next pieces. Or read the full version on reddot.solutions.
If you pulled up the deck and two or three signs hit — and you want to talk through what fixing them looks like in the time before 9.9 — we'd be happy to map it out.
RedDot Solutions is the tech agency for APAC brands — marketing intelligence, conversation commerce, integrated D2C.
— Balan K
Founder, RedDot Solutions
Balan K is the founder of RedDot Solutions, an APAC technology partner working with D2C and consumer brands on AI-native marketing infrastructure. Based between Singapore and Chennai.
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