Candid

The Shortest Path to Customer Trust 💙

[Candid @candid]

“our products are so premium that we are going to use real humans” https://t.co/ZqsnylJmFT

[Candid @candid]

Social platforms are allowed to be useful without being endless.

That may be the real line in the Meta teen safety settlement.

Time limits, night blocks, school-hour notification limits, age checks, social-comparison controls, audits.

For companies built on the social web, this can’t just be “Meta’s issue.”

Healthier networks are better infrastructure.

[unusual_whales @unusual_whales]

BREAKING: Meta, $META, has agreed to an $18 billion settlement with 48 states over child-safety claims and will create new safeguards for users under 18

[Candid @candid]

The real overlap is that everyone claims to hate the category, then quietly asks “who’s good?” when the stakes are real.

Bad influencers feel like spam. Good ones feel like borrowed trust.

https://t.co/Ibmjbaxn4N

[Candid @candid]

The next useful AI feature in visual commerce is not “make me another image.”

It is looking at a real customer photo and answering the boring questions:

which products are visible
which variants are likely
where the hotspot should go
what confidence is high enough
what still needs a human
where can it be published

For fashion and furniture, that is where the work is.

[Candid @candid]

Of course he did 😂

[FinancialJuice @financialjuice]

Zuckerberg directed META to create prediction markets app - NYT. $META

[Candid @candid]

The problem with suites is not that they do too much.

It’s that the feature you bought them for can become a sidebar the minute the contract is signed.

[Candid @candid]

Curious how you’re thinking about third-party context for the assistant.

A lot of useful buying signal lives outside the core catalog: approved customer media, rights status, usage context, fit notes, creator posts, returns friction.

Should apps be structuring that for the assistant to consume?

[Candid @candid]

Returns are where “creative that converts” meets reality.

If the ad/PDP makes the product feel better than it fits, looks, or works, ROAS can still look fine while cash disappears later.

Real customer context helps set expectations:

fit
scale
use case
routine
what “normal” looks like

Proof is not just for conversion. It is also expectation-setting.

[Candid @candid]

If the journey collapses into one search, the product page has to do more work, not less.

Less browsing means fewer chances to build confidence gradually.

So the destination needs the basics immediately:

clear product context
current proof
real customer signals
accurate merchandising
no mystery about what happens next

[Candid @candid]

Fun to see former Candid customer J.M. Smucker having a strong day.

Consumer staples are easy to underestimate from the outside.

Coffee, pet food, frozen handhelds, spreads.

Not flashy categories.

But the customer content is incredibly real:

freezer drawers
lunchboxes
pantry shelves
backseat snacks
dog treats after a walk
coffee before the house wakes up

That is where a lot of brand trust actually lives.

Not in the campaign.

In the routine.

[Mike Zaccardi, CFA, CMT 🍖 @MikeZaccardi]

$SJM Smucker atop the S&P 500 today

[Candid @candid]

@abhijitwt https://t.co/ebRRp8bilV

[Candid @candid]

Confidential S-1 season is a good reminder that every platform eventually has two products:

1. the thing customers use
2. the ecosystem that discovers what the platform should absorb next

[Candid @candid]

The internet keeps trying to automate authenticity.

Then a few real vacation photos show up and casually do 780K views.

No hook.
No framework.
No “wait until the end.”
No cinematic AI polish.

Just a human moment people believe.

That is still the signal brands are chasing.

[Victoria Justice @VictoriaJustice]

just what i needed 🌺🦎
Mahalo, Hawaii ✨

[Candid @candid]

Confidential S-1 season is a good reminder that every platform eventually has two products:

1. the thing customers use
2. the ecosystem that discovers what the platform should absorb next

[Candid @candid]

@BrettFromDJ Feels especially relevant for ecommerce, where the hard part is rarely “can we make a prettier section?”

It is “which version actually helps someone trust the product?”

[Candid @candid]

Interesting distinction on UGC.

Forum/Q&A content and product-specific customer content are very different animals.

For ecommerce, the valuable layer is not generic discussion.

It is current, product-mapped proof that helps a shopper verify the brand after AI/search sends them to the site.

[Candid @candid]

The representation problem is the important one.

AI shopping tools can summarize products, compare options, and build carts.

But for brands, the hard part is making sure the model sees the right proof:

current product context
approved content
real customer signals
accurate merchandising

AI shopping raises the value of clean content systems.

[Candid @candid]

@TOtechweek @andrewgordonmac @skanwar The most Canadian thing in Silicon Valley is a Waterloo co-op resume. Invented by Hagey & Needles in ‘57, scaled by Bill Davis’s Ontario, it turned a small province into the Valley’s farm team. We built the world’s best talent pipeline — and aimed it south.

[Candid @candid]

@wdigitian @replohq The journey point is right.

A good advertorial can build the frame before the shopper ever reaches the PDP.

The missed opportunity is usually continuity:

the story, proof, product context, and customer content should carry forward instead of resetting on every surface.

[Candid @candid]

Same primitive.

Very different market.

In 2015, Like2Buy and the early link-in-bio visionaries helped brands turn Instagram attention into ecommerce traffic. We had great success with similar flows at Candid: social post → mapped destination → product/content page.

Useful, but enterprise-shaped.

Stan pointed the pattern at creators selling digital products.

Not “visit the PDP.”

“Buy from me.”

One capability shift, 10 years in between.
Completely different GTM.
Completely different outcome.

The category was never about links.

It was always about converting social attention into intent.

Huge respect to the Stan team. Toronto keeps cooking.

[Candid @candid]

This is the platform partner bargain.

The partner ecosystem is R&D for the platform.

It fans out, finds pockets of demand, proves workflows, and teaches the platform what should eventually become core.

Then the useful pieces get absorbed into https://t.co/LkikCaxLWl, Shopify admin, Ads Manager, etc.

Bad for easy IPO dreams.

Still a fun business if you like useful work, sharp customers, and a permanently moving floor.

[@jason @Jason]

they are trying to kill cursor and lovable… and every startup and application — as I’ve warned

Infrastructure companies eventually try to win the platform game, then they learn and take out all their partners on the app layer