Last 9.9, you didn't have A.I. This 9.9, you do. That single shift has quietly redrawn what a real 9.9 plan looks like — and most APAC brand teams haven't built it in yet. If you're a brand marketing or commercial lead about to sign your 9.9 deck — read this first.
What changed for 9.9 in 2026? Last 9.9, AI in marketing was a slide in a CMO deck. This 9.9, it is a working layer changing five things at once: creative production got 10x cheaper, AI became the marketing manager's daily co-pilot, audience targeting got sharper without bigger budgets, marketing decisions stopped needing a meeting, and the customer moved into chat conversations that just became intelligent. Most APAC brand teams haven't built any of this into their 9.9 plan yet — the agency deck still looks like 2024. The brands that fix this in May, June, and July walk into 9.9 with creative depth, audience precision, decision speed, and a learning loop the rest of the market simply does not have.
Contents
It's May. Somewhere in your office, an agency deck for 9.9 is being written right now.
It will land on your desk in the next three weeks. It will look familiar — and most of it should. The fundamentals of 9.9 haven't changed. Brands still need to win on creative, on media, on price, on timing. The agencies who have been running these campaigns for a decade still know how to run them.
But something quietly shifted in the last twelve months that doesn't show up in last year's deck — and the brands who notice it first are going to take this 9.9 further than the ones who don't.
The shift isn't in the channels. It isn't in the platforms. It isn't in the playbook your agency already knows. It's in the new layer that now sits underneath all of them: A.I.
Last 9.9, you didn't really have it. This 9.9, you do. And it changes more than most brand teams have realised yet.
This piece is for the marketing managers, brand leads, and commercial heads in APAC who are about to sign that deck. Not to tell you what to do — to tell you what's worth pausing on before you do.
Last 9.9, A.I in marketing was a slide in a CMO deck. This 9.9, it's a working layer that's already changing what brand teams can do. Five practical changes have come out of it. Each one is real now. Each one is already in motion at the brands paying attention.
The cost of producing a campaign creative — visual, copy, video — collapsed somewhere between September 2025 and March 2026. Brands that were paying agencies $40K to ship 12 creative variations are now shipping 60 in-house for less than half the cost. The brands moving early on this are walking into 9.9 with creative depth the rest of the market simply can't match — not because they have bigger budgets, but because they rebuilt the workflow around A.I.
Last year, the average brand marketing manager opened ChatGPT or Claude maybe twice a week — and used it for short tasks. This year, the manager who's three steps ahead is using it for hours every day. Drafting briefs. Pressure-testing campaign logic. Writing first-pass creative copy across 8 SKUs in 30 minutes. Stress-testing the agency's deck before signing it. Asking "what's wrong with this 9.9 plan" and getting honest feedback before the boss does. The brands moving fastest in 2026 aren't winning because they have a better A.I tool. They're winning because their marketing managers have learned to think with one. By 9.9, that gap is going to be visible in the work itself.
A.I lookalike modelling, predictive audience scoring, intent signal analysis — the targeting layer on Meta, TikTok, and programmatic improved more in 12 months than in the previous five. The same media budget now reaches a sharper audience than it did last 9.9. Brands that have updated their targeting setup are quietly outperforming category benchmarks on the same spend. Brands that haven't are paying 2024 prices for 2024 results.
The biggest unlock isn't ideas. It's the speed of getting the right numbers in front of the right people. A.I tools that sit on top of marketing data — campaign performance, customer segments, channel attribution — have shortened that loop from days to seconds. The marketing manager who used to wait six weeks for a custom BI report can now ask the same question in plain English and get an answer in under a minute. "Which segment converted on day one of last 9.9 but didn't return for 11.11?" — that question used to need a data analyst, a Jira ticket, and patience. It doesn't anymore. Brands plugged into this kind of intelligence layer are making 9.9 calls in real time. Brands without it are still reading last week's report.
Your customer opens chat apps somewhere between 18 and 30 times a day. They make purchase decisions inside conversations now, not after them. And in the last 12 months, A.I made those conversations actually intelligent — not the chatbots of 2022, not the broadcast tools of 2024, something different. A phrase has started showing up in APAC brand circles for it: conversation commerce. More on this in a separate piece — but if you've been hearing it and weren't sure what to make of it, you weren't imagining it. It's real, it's growing, and it's already changing how a small group of APAC brands are planning Q4.
| Dimension | Old (2024) | New (2026 with AI) |
|---|---|---|
| Creative variations | 12 (agency) | 60+ (AI workflow) |
| Manager workflow | AI used twice a week, short tasks | AI as daily co-pilot — briefs, segments, decisions |
| Audience targeting | Last year's lookalikes | AI predictive scoring + intent signals |
| Decision speed | Weekly reports, monthly reviews | Real-time, plain-English queries on live data |
| Customer touchpoint | Push notifications, broadcast SMS | Intelligent conversations inside chat threads |
| Partner stack | Marketing agency only | Marketing agency + tech agency |
The reason is structural, and it's simple.
Your marketing agency is not a tech agency.
For thirty years, brands hired marketing agencies to do marketing — creative, media, campaigns, influencers. That worked, because for thirty years, marketing was a creative and media problem.
It isn't anymore. The five shifts above are tech shifts. A.I creative workflows. Marketing managers thinking with A.I co-pilots. Smarter targeting infrastructure. Real-time marketing intelligence. Conversational A.I in the customer's chat thread. None of these come out of a marketing agency. They come out of a tech team that understands marketing.
This is the gap nobody has been filling for most APAC brands. The marketing agency runs the campaign. The tech vendor sells a tool. Nobody builds the bridge between them. The brand team sits in the middle, trying to translate, and ends up with a 9.9 plan that doesn't use the new advantages now available.
RedDot Solutions
We're not a marketing agency. We're the tech agency that sits next to your marketing team — building the AI layer that handles creative pilots, customer intelligence, and conversational AI on WhatsApp. Zero implementation fee. Working software in 24 hours. You pay only when it's live.
Not a redesign. A few additions you can put into your next planning meeting:
Carve out 5% of the 9.9 creative budget for an A.I creative pilot. Run 30 variations in parallel to the agency's 12. Use what you learn to negotiate the 11.11 brief. Start with an AI creative pilot.
Make A.I the default thinking partner for your marketing managers. Stress-test every brief, every campaign logic, every segment hypothesis with a co-pilot before the meeting — not after.
Pull your last 90 days of campaign and customer data into one place where the team can ask questions in plain English and get answers in seconds. The brands doing this are out-deciding the rest of the market on the same data.
Set up a real-time intelligence layer on top of your 9.9 campaign before it goes live. So when day-one of 9.9 surprises you (and it will), you can adjust budget, creative, and audience inside the hour — not in next month's review.
Run one small conversation commerce pilot. One SKU, one audience, one chat surface. Not the centrepiece — the learning loop. Start a conversation commerce pilot.
Block 4 hours a week between now and August for the team to actually build these in. If the calendar is full, the plan is already last year's plan.
Over the next few weeks I'll be publishing a few more pieces on this — what A.I creative pilots actually look like in practice, what marketing intelligence means once it's set up properly, and a longer piece on conversation commerce specifically (because it deserves its own treatment, not a paragraph).
If you're a brand running on Shopee, Lazada, or D2C in APAC and any of this is hitting somewhere — these pieces are written for you.
If you're a brand running on Shopee, Lazada, or D2C in APAC and any of this is hitting somewhere — these pieces are written for you. RedDot is a tech agency helping APAC brands build the A.I layer next to their marketing — creative pilots, customer intelligence, conversational A.I on WhatsApp. We work with D2C brands across Singapore, India, and the broader region.
— Balan K
Founder, RedDot Solutions
Building the A.I layer for APAC brands. Singapore + India.
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