Reddit published an expanded cut of its Path to Purchase 2026 research on 10 August 2026, and PPC Land reported on it two days later. The headline number is that US shoppers rated first-hand consumer experience twice as important as influencer reviews when deciding what to buy, and rated it about 2.5 times as important in the UK.
The same research says half of US shoppers verify AI recommendations on Reddit before they buy, and that 60% trust the platform for that check against 53% who name family and friends. Those are stated answers in a survey Reddit commissioned about Reddit. That does not make them worthless, and it does not make them a market fact. What follows separates the findings from the framing, because the second one is doing a lot of work here.
What Reddit published, and who ran the fieldwork
Reddit released the expanded cut of Path to Purchase 2026 on 10 August 2026. PPC Land wrote it up on 12 August 2026, and the full breakdown sits in the PPC Land report. The fieldwork itself was run by the survey firm Attest in May 2026, across 13,956 US adults and 6,485 UK adults, all aged 18 to 65. Every respondent qualified on the same screen: monthly use of social media, monthly use of large language models, and monthly use of e-commerce sites.
Platform rankings in the study were measured at 95% confidence against a comparison set that included YouTube, Facebook, Instagram, TikTok, Snapchat, X, Pinterest, Discord, LinkedIn and four large language models. Both of those design choices, the qualifying screen and the comparison set, shape the numbers more than any single percentage does. They are covered further down rather than buried in a clause.
The reported numbers in one place
These are the figures PPC Land reported from the Reddit release, with the fieldwork run by Attest in May 2026. Nothing here is modelled, projected or adjusted, and nothing here has been extended to markets the survey did not cover.
| Finding | Reported figure |
|---|---|
| Weight of first-hand consumer experience against influencer reviews in US purchase decisions | 2x |
| Same comparison among UK shoppers | 2.5x |
| US shoppers who say they verify AI recommendations on Reddit | 50% |
| US trust in Reddit for that verification, against family and friends | 60% against 53% |
| US shoppers who return to the platform for accounts of long-term product quality | 43% |
The verification loop underneath the headline
Strip the platform branding off the research and one behaviour is left, and it is the part worth reading. A shopper asks a model for a recommendation, gets an answer, and then goes looking for unpaid first-hand accounts from people who already own the thing before spending any money. The model produces the shortlist. Something else confirms it. That second step is the finding, and it does not belong to any one platform.
That loop asks for a different content investment than influencer spend does. An influencer placement buys a claim, delivered once, on a schedule you control, by someone paid to make it. The verification step is looking for the opposite signal: an account written by somebody with no commercial reason to write it, ideally about how the product held up after six months. You cannot buy that directly. You can only make it more likely by shipping a product that survives the six months and by being present where the accounts get written.
This is also where the story touches AI search rather than just social media. If half of US shoppers in this sample are checking a model's recommendation against community posts, then the content that gets cited by the model and the content that survives the human check are two separate assets, and most brands are only funding the first. That gap is the practical meaning of generative engine optimisation once you get past the citation counting.
The methodology limits deserve their own section
Start with who paid for it. This is vendor research: Reddit commissioned research about Reddit's role in purchase decisions, then published the result. Commissioned research is not automatically wrong, and plenty of useful industry data is funded this way. It does mean the questions were chosen by a party with an interest in one particular answer, and that no independent party has replicated the result.
The qualifying screen is the bigger issue. Every respondent had to be a monthly user of large language models. That excludes anyone who rarely or never meets an AI recommendation in the first place, which is still a large share of the general adult population in both countries. So the finding that half of US shoppers verify AI recommendations on Reddit is half of AI users who also shop online monthly, not half of Americans. Read against the general population, the AI verification numbers are inflated by the sample design.
The comparison set does similar work. Reddit was benchmarked against YouTube, Facebook, Instagram, TikTok, Snapchat, X, Pinterest, Discord, LinkedIn and four language models. Those are entertainment, messaging and professional networking products. None of them is a dedicated review destination. Ranking a discussion forum above TikTok for product research is a lower bar than ranking it above a specialist review site, and the study did not attempt the harder comparison.
Timing is context a reader should have. Reddit reported $762 million in Q2 advertising revenue, and released this expanded research eleven days later, at a point when investors have been asking about declining search referral traffic to the platform. Research showing that people come to Reddit deliberately, rather than arriving through a search engine that may send fewer visitors next quarter, answers a question the market has been asking. That does not falsify the data. It explains why this cut of it was published now.
What the research did not say
- It did not study Thailand, or any Southeast Asian market, and it did not report any figure for either.
- It did not compare Reddit against dedicated review sites or retailer review sections.
- It measured what people say they do, not observed purchase behaviour, so it carries the usual gap between stated and actual conduct.
- It did not report how often the verification step overturns a model recommendation, only that people say they run it.
- It did not attach a conversion rate, an order value or a revenue figure to any of the behaviours described.
What to check in your own marketing
The useful first move costs nothing. Ask the models your customers use for a recommendation in your category, then search the same query with a forum term attached and read what a real buyer would find in the second step. If the model recommends you and the community layer contradicts it, the influencer budget is not the thing that needs attention.
The second move is to audit whether your own material answers the durability question at all. The research reports 43% of US shoppers returning for accounts of long-term product quality, and most brand-owned content marketing stops at the launch story. Documentation of how a product performs at month six, warranty handling, replacement parts and what the failure modes actually are will be read by the same person who just asked a model what to buy.
What this means for Thai marketers
This section is analysis, not a finding from the source. The research did not study Thailand, did not study any Thai platform, and no number below is attributed to it.
Reddit usage in Thailand is thin, so the platform-level result does not transfer. The behaviour underneath it plausibly does, because the verification step exists wherever people are cautious about spending money on something they have not held. In Thailand the layer that answers that need is Pantip threads, LINE OpenChat rooms and Facebook groups, and those places have been performing that function for far longer than any of this had an English name.
The honest read-across is narrow and still useful. Assume the check happens, and stop assuming a paid review is the last thing a buyer sees. That points spend toward earning genuine long-term accounts in the rooms where Thai shoppers actually look, and toward treating social advertising as the thing that starts a search rather than the thing that closes it. Nobody should put a number on Thai behaviour from a US and UK sample, and this post is not doing so.
FAQ on this research
Did Reddit run this research on itself?
Yes, Reddit commissioned it, and the fieldwork was carried out by the survey firm Attest in May 2026. The sample was 13,956 US adults and 6,485 UK adults aged 18 to 65, with platform rankings measured at 95% confidence. Treat the findings as vendor research that has not been independently replicated.
Does this mean influencer marketing has stopped working?
No, and the research does not claim that. It reports a relative weighting in stated purchase importance, not a collapse in influencer performance, and it says nothing about what influencer campaigns actually deliver in sales. The reasonable conclusion is that a paid review is rarely the final input, not that paid reviews are worthless.
Is any of this measured in Thailand?
No. The survey covered US and UK adults only, and did not study Pantip, LINE OpenChat, Facebook groups or any other Thai platform. Everything in this post about the Thai market is labelled analysis.
Do I need to start posting on Reddit as a brand?
The research does not recommend any action, and posting as a brand is not what it describes. What it describes is shoppers looking for unpaid accounts from other buyers, which brand posting does not produce and can undermine if it reads as astroturfing.
What is the one number worth remembering?
Half of the US shoppers surveyed said they verify AI recommendations on Reddit before buying. It is the number most exposed to the sample design, since every respondent was already a monthly AI user, and it is still the clearest evidence that a model answer is now a shortlist rather than a decision.
If you want a second opinion on where your category gets discussed and checked before purchase, and what your brand looks like at that step, Relevant Audience is happy to take a look.
