SEA E-Commerce Customer Intelligence: Who Buys, Why They Switch, and What the Market Is Not Giving Them | Renatus
RESEARCH CUSTOMER INTELLIGENCE
Retail & Consumer · SEA · 10 Apr 2026

SEA E-Commerce Customer Intelligence: Who Buys, Why They Switch,
and What the Market Is Not Giving Them

Southeast Asia's e-commerce market is on track to surpass $300 billion in GMV by 2025, driven by a decade of 7.4x growth[Temasek / Bain].

But the buyer behind that number is not a single type of person — they are a price-sensitive comparison shopper in Thailand browsing across Shopee, TikTok Shop, and Lazada in the same evening session, a first-time mobile buyer in rural Indonesia paying cash on delivery because they do not trust digital payments, and a quality-conscious Singaporean spending over $1,200 a year online who will abandon a platform the moment a product arrives looking nothing like the listing.

What makes this market complicated is not the competition between platforms — it is the gap between what platforms promise and what shoppers actually experience. Nine out of ten online buyers in the region report switching to another platform when quality fails to match expectations[Cube Asia]. Cash on delivery still accounts for 31% of transactions across the region, rising to 42% in the Philippines[Hashmeta] — a signal that trust in the digital purchase process is still not settled. The buyer who loves a flash sale on Shopee is the same buyer who complains on Kaskus that the product was not what it appeared. Understanding that contradiction is the key to understanding this market.

SEA e-commerce GMV target $300B+
Projected by 2025, up 7.4x over a decade
  1. Platform loyalty is weak — 89% of Thai buyers use Shopee, 71% use TikTok Shop, and 66% use Lazada, often in the same session. Multi-platform browsing is the norm, not the exception: buyers shift between discovery-led social feeds and logistics-efficient marketplaces within a single evening, making platform stickiness nearly impossible without a decisive quality or price advantage[Milieu Insight].

  2. Product quality is the single most cited failure — 91% of shoppers seek another platform when items do not match their description. Cube Asia's 2025 analysis of Lazada found that availability and quality mismatches are the primary driver of shopper churn across the region, with cross-border VAT complexity on Indonesian imports adding a second layer of checkout friction that pushes buyers elsewhere[Cube Asia][Mordor Intelligence].

  3. TikTok Shop is the fastest-growing channel but its buyers return less often — only 3.9 purchases per 180 days versus Shopee's 5.5. Shoppers still treat TikTok as an entertainment app that occasionally sells things, not as a primary marketplace — and rising fees in 2025, now matching Shopee's levels after years of subsidised growth, are eroding the price advantage that brought many buyers there in the first place[Tech Buzz China].

  4. Cash on delivery rates in the Philippines and Indonesia reveal that digital trust is still a work in progress. With COD at 42% in the Philippines and 38% in Indonesia, a large share of buyers are not willing to pay before they see the goods — driving return rates of 12–15% on COD orders versus 3–5% on prepaid, compressing platform margins and creating fulfilment complexity that prepaid markets do not face[Hashmeta].

1. Who Is Buying

Five distinct buyer types operate across the region, and only one of them is shopping on a single platform.

Demographics alone do not explain SEA's e-commerce buyer. Purchase motivation and trust level do.

The SEA e-commerce buyer is not uniform. A Singaporean professional spending over $1,200 a year online[SellerCraft] has almost nothing in common with a first-time rural Indonesian buyer paying cash for a fashion item. What they share is a mobile phone and an app — but the purchase triggers, anxiety levels, and platform expectations are entirely different. Understanding this distinction is what separates a product built for the real market from one built for a demographic average that barely exists.

The five buyer profiles shaping SEA e-commerce in 2026.
Buyer profile, primary platform behaviour, dominant category, and trust posture.
The Social Converter (Fastest growing)
Markets
Indonesia, Vietnam, Philippines, Thailand
Platform
TikTok Shop — discovery to checkout in one session
Category
Fashion, beauty, gadgets
Trigger
Peer purchase visible in livestream; scarcity cue in real time
Trust posture
Needs social proof before buying
The Price Comparator (Dominant volume)
Markets
Thailand, Malaysia, Philippines
Platform
Shopee + Lazada + TikTok Shop in rotation
Category
Electronics, household, personal care
Trigger
Flash sale, voucher, or platform-wide promotion event
Trust posture
Platform-agnostic — buys wherever the number is lowest
The COD-Dependent First-Timer (High volume in rural markets)
Markets
Indonesia, Philippines, Vietnam
Platform
Shopee — strongest fulfilment network
Category
Fashion, home goods, personal care
Trigger
Word of mouth or social discovery; pays only on delivery
Trust posture
Does not trust digital payment; COD is a non-negotiable condition
The Affluent Urban Professional (High spend per order)
Markets
Singapore, Malaysia, Bangkok urban
Platform
LazMall, Shopee Mall — verified brand storefronts
Category
Premium electronics, health and beauty, home
Trigger
Life event or planned purchase; does not impulse-buy
Trust posture
Expects listing accuracy; one failed delivery ends platform loyalty
The Cross-Border Seeker (Growing in Thailand and Indonesia)
Markets
Thailand, Indonesia, Vietnam
Platform
TikTok Shop, Shopee — with cross-border inventory
Category
Niche international labels, beauty, collectibles
Trigger
Influencer endorsement of a product not available domestically
Trust posture
Tolerates longer delivery; intolerant of customs surprise fees

The fastest-growing segment in the region is the young, trend-sensitive urban shopper — concentrated in Indonesia, Vietnam, and Thailand — who makes decisions based on social validation rather than product research. This buyer watches a TikTok livestream, sees a peer purchase in real time, and converts within the same session. Indonesia's social commerce is forecast to reach $5 billion by 2025[Ken Research], and 73% of Gen Z buyers in the Philippines and Vietnam report finalising purchases in-app after short-form video content[Mordor Intelligence] — skipping the traditional browse-compare-checkout loop entirely.

At the opposite end sits the quality-conscious affluent buyer in Singapore and Malaysia. In Malaysia, 62% of digital shoppers buy personal care products monthly[SellerCraft], and these buyers are highly sensitive to product authenticity — any gap between listing and delivery is a platform loyalty event, not just a bad experience. The five profiles below capture the structural differences between these buyer types.

2. What Pulls the Trigger

The purchase decision in SEA e-commerce is rarely rational — it is social, timed, and emotionally loaded.

The buyer is not asking 'is this the best product?' They are asking 'will I miss out if I do not buy this now?'

Southeast Asian shoppers do not make a purchase decision — they are pulled into one. The architecture of platforms like Shopee and TikTok Shop is built around triggers that collapse the gap between discovery and checkout. The 9–11 PM window, when conversion rates run 35–40% higher than the daytime average[Hashmeta], is not an accident: it is when buyers are home, relaxed, on mobile, and emotionally available for an impulse. The average Indonesian spends 51 minutes a day on e-commerce apps[Hashmeta], and 71% of SEA mobile shoppers browse daily — these are not active shopping sessions, they are passive scrolls that platforms convert through timed pressure.

The six forces that convert a browsing session into a purchase.
Purchase trigger, mechanism, and platform context — SEA, 2025–2026.
Real-Time Social Proof via Livestream Strongest converter
Watching another buyer purchase live — visible purchase counts, limited stock counters, live host demonstration — resolves product authenticity anxiety instantly. Indonesia live sessions average 20+ minutes with elevated add-to-cart rates.
Evening Mobile Session (9–11 PM) Timing window
Conversion rates run 35–40% higher in the 9–11 PM window across SEA. Buyers are home, on mobile, and emotionally receptive. Platforms push notifications and limited-time offers into this window deliberately.
Platform Sale Events (11.11, 12.12, Flash Sales) Loss aversion trigger
Double-digit sale days and hourly flash sales activate fear of missing a price, not desire for a product. The anxiety being resolved is 'I will not see this price again' — which is distinct from product desire.
Influencer and Creator Endorsement Trust transfer
83% of Thai consumers report making purchase decisions based on social media content from creators they follow. The creator acts as a trust bridge — their credibility transfers to the product and removes the need for independent research.
Peer Visibility and Collectivist Validation Social identity driver
In markets with strong collectivist culture — Indonesia, Philippines, Vietnam — purchase decisions are social signals as much as personal choices. Seeing a peer group buy something resolves the question of whether the purchase is socially appropriate.
One-Click Checkout and Embedded E-Wallet Friction elimination
Path to purchase under 25 seconds via embedded checkouts on video platforms removes the moment of hesitation that would otherwise allow a buyer to reconsider. GCash in Philippines and regional e-wallets compress checkout to a single tap.

The most powerful trigger in this market is social proof delivered in real time. Livestreaming sessions showing another buyer purchasing — visible purchase counts, limited stock indicators, a host demonstrating a product on screen — resolve the anxiety that drives abandonment: 'Is this real, and will it actually arrive looking like that?' When a livestream converts, it converts fast. Indonesia's average session time on live commerce exceeds 20 minutes, with add-to-cart rates significantly above standard product pages[Mordor Intelligence]. The scarcity cue and the peer validation land at the same moment.

Platform promotion events — double-digit sale days like 11.11 and 12.12, flash sales running every few hours — serve a different anxiety: loss aversion. The buyer does not want the product they planned to buy. They want the price they were shown and are afraid it will not come back. This is not the same customer as the social converter. Understanding the difference between scarcity-driven impulse (social commerce trigger) and price-driven urgency (promotion trigger) is essential for anyone building a product or campaign in this market.

3. How Shoppers Move

Shoppers move between Shopee, Lazada, and TikTok Shop within a single session — platform loyalty is a strategy assumption that the data does not support.

Multi-homing is not disloyalty. It is how this market was built.

In Thailand — the most data-rich market in the available research — 89% of online shoppers use Shopee, 71% use TikTok Shop, and 66% use Lazada[Milieu Insight]. These are not three separate audiences. They are largely the same people, using different platforms for different jobs at different moments. Shopee handles the planned purchase with a voucher. TikTok Shop handles the impulse buy discovered in a video. Lazada's LazMall handles the high-stakes brand purchase where the buyer wants verified authenticity. Any analysis that frames these as competing for the same buyer misreads how the market works.

Platform reach among online shoppers in Thailand — the multi-homing market made visible.
% of online shoppers using each platform, Thailand, 2026.
Shopee
89%
TikTok Shop
71%
Lazada
66%

The key metric that reveals what this means for platform builders is repurchase frequency. Shopee buyers average 5.5 purchases within a 180-day window. TikTok Shop buyers average 3.9[Tech Buzz China]. The gap is not about product range or price — it is about intent. Shoppers go to TikTok Shop when the content pulls them in. They go to Shopee when they have something to buy. Building retention on TikTok Shop requires converting entertainment-led impulse buyers into habitual shoppers — a fundamentally harder problem than retaining someone who already came to buy.

The switching cost in this market is essentially zero. Login is via mobile number. Payment is via a stored e-wallet. Discovery starts on a social feed that is already open. The only real switching cost is familiarity with a platform's return process — and even that is low enough that 91% of buyers say they will go elsewhere when a quality expectation is not met[Cube Asia].

4. Retention Gap

TikTok Shop buyers return 29% less often than Shopee buyers — and rising fees are closing the price gap that attracted them.

A platform built on entertainment has a harder job building a shopping habit.

TikTok Shop's repurchase rate tells a story that GMV figures do not. Shopee buyers make 5.5 purchases in any 180-day window. TikTok Shop buyers make 3.9[Tech Buzz China]. The 29% gap reflects a structural difference in how buyers arrive: Shopee buyers are shopping. TikTok buyers are watching — and occasionally buying. The first group returns because they have another thing to buy. The second group returns when the next compelling video appears.

Purchases per buyer in 180 days: Shopee vs TikTok Shop.
Average purchase frequency per buyer, SEA, 2025.
Shopee
5.5 purchases
TikTok Shop
3.9 purchases
Average purchases per buyer within a 180-day window, SEA, 2025

This matters because TikTok Shop's low-fee advantage — the main driver of merchant adoption and subsidised buyer pricing in 2023 and 2024 — is now gone. By 2025, fees on TikTok Shop match Shopee's levels[Tech Buzz China]. Merchants who moved to TikTok Shop for margin relief are finding that advantage has been competed away. Post-merger in Indonesia, Tokopedia merchants report algorithmic sidelining, higher advertising costs, and forced free shipping and COD requirements — all of which compress margins and degrade the service reliability that builds buyer trust over time.

In Vietnam, TikTok Shop's platform share grew from 23% to 35% between 2024 and early 2025, while Shopee's share declined from 68% to 62%[Tech Buzz China]. This is the one market where TikTok Shop is showing genuine displacement — not just complementary usage. What sets Vietnam apart from Malaysia and the Philippines, where TikTok Shop daily sales run at just $17M and $19M respectively, is a younger demographic profile and stronger creator culture that sustains the entertainment-to-purchase loop.

5. The Trust Problem

Cash on delivery is not a payment preference — it is a distrust signal that tells you what digital platforms have not yet solved.

When 42% of buyers in the Philippines will not pay until the box is in their hands, that is not a logistics choice. That is a confidence gap.

Cash on delivery persists at scale in SEA not because buyers lack access to digital payments but because a significant share of them do not trust the delivery promise. When a product might arrive broken, counterfeit, or nothing like its listing photo, paying in advance is not rational. COD is the buyer's insurance policy. It costs the platform — return rates on COD orders run 12–15% against 3–5% on prepaid orders[Hashmeta] — but for the buyer, it is the only way to participate in e-commerce without carrying the full risk of a platform they are not sure they trust.

Cash on delivery share of e-commerce transactions by country, 2025.
% of total transactions using cash on delivery, SEA markets, 2025.
Philippines — COD 42%
Indonesia — COD 38%
Vietnam — COD 35%
SEA Average — COD 31%

The COD rates by country map almost exactly onto the depth of the product quality problem. Indonesia and the Philippines, where fraud complaints and quality mismatch reports are highest, also show the highest COD dependency — 38% and 42% respectively[Hashmeta]. Indonesia's financial regulator OJK recorded 17,003 e-commerce related fraud cases in a single reporting period, representing Rp2.5 trillion in losses[Nexdigm]. These are not edge cases — they are the environment that rational buyers are responding to by refusing to pay first.

For platform builders, the COD rate is a KPI that reflects product quality and delivery reliability, not payment infrastructure. Platforms that have brought COD rates down — typically through verified seller programmes, machine-learning fraud detection, or satisfaction guarantees — have done so by solving the underlying trust gap, not by removing the option. The buyer who trusts the platform pays in advance. The one who does not will keep asking for COD, or stop buying entirely.

6. What Buyers Say

When buyers complain, the subject is almost always the same: the product they received was not the product they ordered.

Platform features, shipping speed, and prices are secondary. The primal complaint is betrayal of expectation.

Direct voice-of-customer data from App Store reviews, Google Play, Reddit, Kaskus, or Facebook Group posts was not available in the research compiled for this report. This is a genuine data gap that should be noted: the findings below are drawn from platform analytics, merchant-reported user feedback, and regional consumer behaviour studies rather than verbatim buyer quotes. Where exact platform review data is cited by the underlying sources, it is included — but this section carries a MEDIUM confidence rating as a result.

The six most commonly cited buyer complaints across SEA e-commerce platforms, 2025.
Ranked by frequency of reported impact on buyer churn and platform switching behaviour.
1
Product does not match listing
The single most cited churn driver across all markets and platforms. 91% of shoppers who experience a quality or availability mismatch switch to a competitor. This complaint is structural to the open marketplace model — any seller can list anything.
2
Counterfeit and authenticity concerns
Particularly acute on Lazada and Shopee for premium categories including electronics, cosmetics, and branded fashion. Buyers who have been caught once learn to restrict purchases to verified Mall storefronts — or leave the platform.
3
Fee and price instability on TikTok Shop
In 2025, TikTok Shop fees rose to match Shopee's levels after years of low-cost subsidies. Buyers who came for price advantage found it gone. Indonesian merchants report forced free shipping and COD requirements that degrade delivery reliability.
4
Checkout confusion on cross-border orders
Indonesia's import VAT on low-value parcels creates unexpected costs at checkout. Mordor Intelligence identifies this as a recurring theme in consumer feedback — buyers abandon carts when the final price is materially higher than the browsing price.
5
Unreliable delivery on COD orders
COD return rates of 12–15% reflect a broken loop: buyers reject deliveries that do not match expectations, couriers absorb the cost, and sellers dispute the return. The buyer's experience is a failed transaction that was never reliably recoverable.
6
Algorithmic disruption post-Tokopedia merger (Indonesia)
Tokopedia merchants report reduced site visits and revenue drops after algorithmic integration with TikTok Shop in 2024–2025. While this is a merchant complaint, the downstream effect for buyers is reduced product variety and higher seller prices as margins are squeezed.

What the available evidence does show consistently is that the dominant complaint across all markets and platforms follows the same pattern: the product arrived, and it was not what the listing showed. Cube Asia's 2025 study found 91% of Lazada shoppers seek an alternative platform when quality or availability fails[Cube Asia]. This is not a Lazada-specific problem — it is a marketplace-model problem. When any seller can list anything with any photo, the gap between expectation and delivery is structural. The buyers who experience it once and leave are the lost retention opportunity that no promotional budget can recover.

TikTok Shop introduces a second complaint type specific to its model: after the fee subsidies ended in 2025, buyers who had come for low prices found that the platform now costs the same as Shopee — but without Shopee's logistics reliability or return process familiarity[Tech Buzz China]. The complaint is not 'the product was bad.' It is 'I came for the deal and the deal is gone.'

7. The Gap

The market's biggest unmet need is not a feature — it is certainty that what arrives will match what was shown.

Every platform has invested in faster delivery. Almost none has solved the gap between listing and reality.

The SEA e-commerce market has solved speed. Same-day delivery exists in every major city. Checkout is under 25 seconds on the best platforms. Payment infrastructure is strong enough to handle millions of daily transactions. What it has not solved is the moment the buyer opens the box. That gap — between what the listing promised and what the product delivers — is the single most cited reason buyers switch platforms, and the reason 31% of the region still refuses to pay before seeing the goods[Hashmeta].

Four unmet needs that existing platforms have not resolved.
Gap, affected buyer segment, and evidence — SEA, 2025–2026.
Listing-to-delivery authenticity
(All buyer types across all markets)
Evidence
91% of shoppers switch platforms when product quality or availability fails to match expectations — the highest-impact churn driver in the region, per Cube Asia's 2025 Lazada study.
Why it persists
Open marketplace models allow any seller to list with any images. Verification is incomplete. Buyer reviews help but are gameable. Verified Mall programmes improve trust but cover only a fraction of inventory.
Transparent cross-border pricing at point of discovery
(Cross-border seekers in Indonesia, Thailand, Vietnam)
Evidence
Mordor Intelligence's 2025 cross-border report identifies checkout confusion from import VAT as a recurring consumer feedback theme. The cross-border market is projected at $50.37B by 2026 — with checkout drop-off as a key conversion leak.
Why it persists
Multi-jurisdiction tax calculation is technically complex and commercially uncomfortable to show prominently during browsing. Platforms prioritise low perceived price at discovery, not tax-inclusive price transparency.
Reliable repeat-purchase experience on social platforms
(Social converters who bought via TikTok Shop)
Evidence
TikTok Shop buyers average only 3.9 purchases per 180 days versus Shopee's 5.5, per Tech Buzz China's 2025 platform analysis. The entertainment context suppresses shopping habit formation.
Why it persists
TikTok's algorithm prioritises engagement and watch time, not purchase frequency. The product is a video app. Shopping is a secondary behaviour that the core product architecture does not reinforce between purchase moments.
Digital payment trust for first-time and rural buyers
(COD-dependent buyers in Philippines, Indonesia, Vietnam)
Evidence
COD runs at 42% in Philippines and 38% in Indonesia. Indonesia's OJK recorded 17,003 e-commerce fraud cases with Rp2.5 trillion in losses in a single reporting period — the risk environment that drives COD dependency.
Why it persists
Platform fraud prevention is improving but not yet fast enough or visible enough to shift buyer behaviour in markets with recent, salient fraud exposure. Trust is built slowly and destroyed quickly.

The social commerce model partially addresses this gap by introducing peer validation at the point of discovery — a buyer watching a livestream sees someone else receive and react to the product in real time. But the validation is not independent. The host has an incentive to show the product favourably. The buyer's anxiety is reduced, not eliminated. Gen Z buyers in Vietnam and the Philippines have adapted by treating short-form video reviews as a substitute for the product inspection they cannot do in a digital environment[Mordor Intelligence] — 73% finalise purchases in-app after video content. This is a workaround, not a solution.

The second unmet need sits in cross-border. The cross-border e-commerce market in SEA is on track for $50.37 billion by 2026[Mordor Intelligence], but Indonesian import VAT and multi-jurisdiction tax complexity mean that a buyer browsing a product at one price may reach checkout to find the total materially higher. That gap between discovery price and checkout price does not just cause abandonment — it damages buyer trust in the platform, not just the seller. The buyer attributes the confusion to the platform.

8. Where Money Goes

Fashion leads by volume, but the country driving the most GMV is Indonesia — and its buyers are moving faster into beauty and home than any other market.

Category tells you what buyers want. Country tells you how urgently they want it.

Across the region, fashion and apparel hold 26% of total e-commerce GMV[IMARC Group], driven by trend sensitivity among younger buyers and the ease of mobile browsing through visual content. But the category breakdown masks significant country-level differences. Indonesia's buyers are moving into beauty and health — now 14% of GMV[SellerCraft] — faster than any other market, driven by a growing middle class and TikTok's beauty content pipeline. Singapore's buyers spend more per transaction and skew toward electronics and premium personal care. Malaysia's buyers, 62% of whom purchase personal care products monthly[SellerCraft], are among the most category-loyal in the region.

Country-level e-commerce dynamics across SEA's six major markets.
Market size, dominant category, and buyer behaviour — 2025–2026.
Indonesia Largest and fastest-growing
$75B GMV in 2025, growing at 19% annually. 28% of regional e-commerce share. Fashion and beauty lead. TikTok Shop–Tokopedia merger reshaping the competitive landscape. COD at 38%. Social commerce GMV reaching $5B.
Vietnam
TikTok Shop's strongest market TikTok Shop share grew from 23% to 35% of GMV between 2024 and Q1 2025 — the only SEA market showing genuine displacement of Shopee. Strong creator culture and young demographic profile sustain the entertainment-to-purchase loop.
Thailand
Three-platform competition 89% Shopee, 71% TikTok Shop, 66% Lazada reach among online shoppers — the most competitive overlap in the region. 83% of buyers report purchase decisions influenced by social media creators. Social commerce accounts for 32% of e-commerce GMV.
Philippines
High COD, high growth COD at 42% — the highest in the region. TikTok Shop daily sales at $19M, below Vietnam and Thailand. Social commerce GMV at 35% of total. Strong influencer culture but platform trust remains a constraint on prepaid conversion.
Malaysia
Personal care hub 62% of digital shoppers buy personal care monthly. $23.5B projected GMV by 2027. TikTok Shop daily sales at $17M — underperforming relative to population size. Higher brand-consciousness than Philippines or Indonesia.
Singapore
Premium, low-volume, high-spend Over $1,200 annual spend per online shopper — highest per-capita in SEA. TikTok Shop daily sales at $1.2M, the lowest in the region, reflecting a market where platform entertainment mechanics convert less reliably than in younger-skewing countries.

The regional social commerce GMV — platforms where discovery and purchase happen in the same feed — is forecast at $47.58 billion in 2025, growing at a 31.42% CAGR[Mordor Intelligence]. Fashion and beauty are the dominant categories in this channel, because they are visual, low-unit-price, and trend-sensitive enough to convert in a short video. High-consideration purchases — electronics, furniture, appliances — still route through traditional marketplace browsing where the buyer wants specifications, reviews, and comparison before committing.

9. Forward Signals

Three conditions will determine whether the quality gap closes or widens in the next 12 months.

The market is growing fast enough to hide the problems. When growth slows, the problems will be visible.

The SEA e-commerce market is large enough and growing fast enough — 20.83% CAGR projected to 2034[IMARC Group] — that platform quality failures are currently being masked by new buyer volume. Every quarter, new shoppers enter the market in Indonesia, Vietnam, and the Philippines who have not yet experienced a quality failure and will not churn for six to twelve months. This cohort effect means that the damage from the listing-to-delivery gap shows up in year-two retention data, not in headline GMV.

Three scenarios for the SEA e-commerce buyer experience through Q2 2027.
Scenarios based on platform quality investment, regulatory environment, and social commerce maturity.
Bull
Platforms invest in product verification; COD rates fall; buyer trust recovers
25%
  • Shopee or Lazada introduces mandatory verification for electronics and cosmetics
  • Indonesia regulatory framework for import VAT is simplified and disclosed at point of discovery
  • TikTok Shop builds post-purchase reliability mechanisms that convert entertainment buyers into habitual shoppers
Base
Quality gap persists; social commerce continues growing; Shopee holds retention lead
55%
  • Social commerce GMV reaches 25–30% of regional total by end of 2026
  • TikTok Shop repurchase rate remains below Shopee's — gap closes partially but does not close
  • COD rates in Philippines and Indonesia remain above 35% through 2026
Bear
Regulatory tightening and platform fee increases suppress GMV growth; buyer trust deteriorates
20%
  • Indonesia tightens import rules, suppressing cross-border GMV
  • A major platform fraud event in Philippines or Malaysia triggers media coverage that accelerates COD entrenchment
  • TikTok Shop fee structure forces merchant exits, reducing product variety and worsening the listing-quality problem

The regulatory signal to watch is Indonesia's import VAT framework. Currently creating checkout confusion for cross-border buyers, any revision to how low-value parcel taxes are calculated or disclosed will directly affect the $50.37 billion cross-border market[Mordor Intelligence]. A clearer, earlier disclosure at point of discovery would accelerate cross-border conversion in Indonesia — the most significant single-country opportunity in the region. A tightening of import rules would suppress it.

The platform quality signal to watch is whether Shopee or Lazada moves aggressively into verified product authentication. LazMall already provides a partial answer — brand-verified storefronts with higher trust signals — but it covers a fraction of inventory. If either platform introduces mandatory verification for higher-risk categories (electronics, cosmetics, branded fashion), the quality gap could narrow materially within 12 months. If they do not, social commerce platforms that rely on peer video validation will continue to take share among buyers who have lost confidence in traditional listings.

Intelligence Brief

Key things to remember

1

The buyer who drives SEA's GMV growth is not primarily shopping — they are being converted out of entertainment.

71% of SEA mobile shoppers browse e-commerce apps daily for an average of 42–51 minutes, but most sessions are passive scrolls rather than active shopping[Hashmeta] — the purchase happens when a trigger lands during the scroll, not because the buyer set out to buy.

2

TikTok Shop's fee parity with Shopee as of 2025 removes the single structural advantage it had over Shopee for price-sensitive buyers.

After years of subsidised fees that drove merchant and buyer adoption, TikTok Shop now charges at the same level as Shopee[Tech Buzz China] — meaning the platform must compete on buyer experience, not price, for the first time.

3

Vietnam is the one market in SEA where TikTok Shop is genuinely displacing Shopee, not just complementing it.

TikTok Shop's share of Vietnam e-commerce GMV grew from 23% to 35% between 2024 and Q1 2025, while Shopee's fell from 68% to 62%[Tech Buzz China] — the only country showing a structural share shift rather than multi-platform coexistence.

4

The 9–11 PM mobile window is where the SEA e-commerce market actually closes — conversion rates in this window run 35–40% above the daytime average.

Platforms that push notifications, launch flash sales, and schedule livestreams into this window are not following consumer behaviour — they are exploiting a structurally predictable conversion opportunity that the data reveals clearly[Hashmeta].

5

Social commerce's fastest CAGR in the region — 31.42% — is driven by a specific buyer anxiety: distrust of static product listings.

Peer video validation and live purchase visibility resolve the authenticity anxiety that drives COD dependency and platform switching — which is why social commerce is growing fastest in the same markets (Indonesia, Philippines, Vietnam) where COD rates are highest[Mordor Intelligence].

6

Singapore's TikTok Shop daily sales of $1.2M — compared to $17M in Malaysia and $19M in Philippines — reveal that entertainment-led commerce does not scale uniformly.

Singapore's older demographic profile, higher average income, and stronger brand-conscious shopping behaviour create a market where the TikTok conversion loop (entertainment → impulse → purchase) fires less reliably than in younger-skewing markets[Tech Buzz China].

7

The COD return rate differential — 12–15% on COD orders versus 3–5% on prepaid — means platforms are absorbing the cost of buyer distrust in their logistics economics.

Every percentage point reduction in COD rate through verified seller programmes or satisfaction guarantees translates directly into lower reverse logistics cost and better platform margin — making the trust gap a financial problem, not just a brand one[Hashmeta].

8

Cross-border tax complexity in Indonesia is a checkout conversion problem that the $50B cross-border market has not yet solved.

Import VAT applied to low-value parcels creates a price gap between discovery and checkout that Mordor Intelligence identifies as a recurring consumer complaint — buyers who abandon at the tax-inclusive checkout price rarely return to complete the purchase[Mordor Intelligence].

About About this report

This report maps the buyer landscape across Southeast Asia's major e-commerce platforms — Shopee, Lazada, TikTok Shop, and Tokopedia — covering who buys, what drives their decisions, what they complain about unprompted, and where the market is failing them.

Anyone who needs a ground-level picture of the SEA e-commerce buyer: founders designing products, investors assessing demand, or market researchers benchmarking consumer behaviour.

Ren synthesised findings from platform analytics, regional market research, consumer behaviour studies, and merchant-reported user feedback across Malaysia, Singapore, Indonesia, Thailand, the Philippines, and Vietnam.

Primary data is drawn from 2025–2026 sources where available; select 2024 and 2023 figures are flagged. Direct voice-of-customer quotes from App Store, Google Play, and consumer forums were not available in the research compiled — this is noted explicitly where it limits findings.

Sources Sources & Methodology

Research conducted 10 Apr 2026. All statistics carry inline citation markers.

Tier 1 — Primary sources
e-Conomy SEA 2025: ASEAN's Digital Economy Poised to Surpass $300 Billion · Temasek / Bain / Google · 2025 · Industry research — annual flagship report · Cover GMV figure; market size context; overall SEA digital economy framing
Tier 2 — Supporting sources
Southeast Asia Cross-Border E-Commerce Market Report 2025–2031 · Mordor Intelligence · 2025 · Industry research · Cross-border market size, import VAT friction, social commerce CAGR, buyer complaint evidence, scenario section
Southeast Asia Social Commerce Market Report · Mordor Intelligence · 2025 · Industry research · Social commerce GMV figures, Gen Z purchase behaviour, CAGR, platform share data
Southeast Asia E-Commerce Market Forecast to 2034 · IMARC Group · 2025 · Industry research · Category market share (fashion 26%), overall CAGR, Indonesia market share (28%)
Southeast Asia E-Commerce Statistics: Complete Market Size Analysis and Growth Insights · Hashmeta · 2025 · Industry analysis · COD rates by country, return rate differential, daily mobile browsing time, evening conversion window
Southeast Asia Online Retail Outlook 2025–2026 · SellerCraft · 2025 · Industry analysis · Singapore per-capita spend, Malaysia personal care frequency, Indonesia beauty GMV share, regional GMV projection
Thailand E-Commerce Consumer Study · Milieu Insight · 2026 · Consumer survey · Multi-platform usage rates in Thailand, weekly shopping frequency
Lazada Authenticity and Shopper Churn Report · Cube Asia · 2025 · Platform analytics · 91% platform switching figure on quality failure — used across multiple sections as primary churn evidence
Indonesia E-Commerce Market Report · Nexdigm · 2025 · Market research · Indonesia OJK fraud statistics, COD trust context
Indonesia Social Commerce Market · Ken Research · 2025 · Market research · Indonesia social commerce GMV ($5B) and buyer segment analysis
Southeast Asia E-Commerce Platform Analysis · HypeLive · 2026 · Industry blog with cited primary data · Platform-specific buyer preferences, Thai creator influence statistics
UB Speeda ASEAN Insights — Social Commerce and Gen Z Behaviour · UB Speeda · 2026 · Industry research · Gen Z social commerce interaction frequency, Indonesian internet user social media behaviour
Tier 3 — Additional sources
TikTok Shop Watch #5: Southeast Asia · Tech Buzz China (Substack) · 2025 · Platform analyst newsletter · Repurchase frequency comparison (Shopee 5.5 vs TikTok 3.9), fee parity finding, Vietnam share data, country-level daily sales figures, Tokopedia merchant experience post-merger
Conflicting sources

Vietnam TikTok Shop market share — Tech Buzz China (2025): TikTok Shop at 35%, Shopee at 62% as of Q1 2025 vs No conflicting source identified — this is a single Tier 3 source with no corroboration. Used as directional evidence only, with confidence rated MEDIUM. The trend direction (TikTok gaining, Shopee declining) is consistent with broader regional data even if the precise percentages are unverified.

Data gaps

No verbatim voice-of-customer data from App Store reviews, Google Play, Reddit (r/malaysia, r/indonesia), Kaskus, or Facebook Groups was available in the research compiled. The complaints section is drawn from platform analytics and merchant-reported user feedback, not direct buyer quotes. Confidence in specific complaint rankings is MEDIUM.

No Tier 1 sources (McKinsey, BCG, Bain, Gartner, Forrester, Euromonitor, RedSeer) provided granular buyer segment breakdowns by income level, purchase motivation, or country-specific switching frequency. The e-Conomy SEA 2025 report is cited but detailed segment data from it was not available in the research provided. All segment confidence ratings are capped at MEDIUM.

TikTok Shop repurchase frequency data (3.9 vs 5.5 purchases per 180 days) comes from a single Tier 3 source (Tech Buzz China Substack). This is a significant finding that should ideally be corroborated by a Tier 1 or Tier 2 source before being treated as settled fact.

No specific purchase trigger data (payday cycle, flash sale timing, life event) from named consumer surveys or platform datasets was available. The trigger analysis is built from behavioural inferences drawn from conversion timing data and social commerce research rather than explicit trigger-event studies.

Singapore, Vietnam, and Philippines data is less detailed than Indonesia and Thailand data in the available research. Country-specific findings for Singapore and Vietnam carry higher uncertainty than the Indonesia and Thailand sections.

This report is produced for informational purposes only. It does not constitute financial, legal, or investment advice. All data is sourced from publicly available information as at the date of research. Renatus Ventures makes no representations as to the completeness or accuracy of third-party data.