Trend Hunter B2C

Publication: Trend Hunter B2C §10.4

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Where this publication overrides General Guidelines: Audience is defined psychographically, not demographically—frame benefits around mindset and intent, never around age, gender, income, location, relationship status, or parental status. No demographic stereotyping in any form—this is the strongest anti-pattern. The editorial stance is restraint: present signals, let readers draw conclusions—report what is emerging and why, without pushing a verdict. The Trust Rule gates every trend page: a topic with no live “why now” does not surface as a trend at all. Every piece structures around four story elements—What It Is · Why It Matters · Who It’s For · How to Experience It—incorporated naturally rather than rigidly, against four reader intent tiers (Discovery / Understanding / Evaluation / Action). The voice is Smart, Approachable, Curious, Practical. Trendy slang (“slay”, “bestie”, “vibes”) and academic density are both banned. Public-facing headlines and body ban em-dashes, en-dashes, and semicolons (colons allowed) and take no leading numeral (SmartNews-bound variants excepted). Text in red throughout this page marks anything that overrides or goes beyond the General Guidelines.


Publication Overview

Trend Hunter B2C is McClatchy’s curiosity-first trend publication. It surfaces emerging trends, products, behaviors, and cultural shifts before they reach the mainstream and translates them into pragmatic value for the reader’s actual life. Format is mobile-first, short-paragraph, scannable—built for a reader who is short on time and high on curiosity.

This page is the single reference for how Trend Hunter B2C content sounds, reads, and gets structured. Read the Editorial Stance and the Trust Rule first—everything else follows from them.


Our Reader: The Curious Optimizer

The Trend Hunter B2C audience is The Curious Optimizer—a psychographic persona defined by mindset, not demographics. The persona spans every age, gender, income, and life stage, unified by how they think about new ideas and what they expect from content.

The reader:

See §4.2 The Curious Optimizer for the full persona profile, content framework, and CSA Target Audience Definition.

Psychographic Traits

Curiosity. Eager to explore emerging ideas, products, and shifting cultural signals. Content should feel like discovering something before everyone else knows about it.

Pragmatic Inspiration. Seeks aspirational trend content that translates into real-life action. Not just “look at this cool thing” but “here’s how you can actually use it.”

Low Time, High Value. Expects quick clarity, digestible insights, and efficient summaries that lead to immediate takeaway value. Respects their time with no fluff or padding.

Life-Optimizer. Uses trends as a tool to make better decisions. Content should help them improve some aspect of their daily life.

Taste for Novelty (with filters). Open to new ideas but relies on credibility and context to decide what’s worthy of attention. Must feel vetted and trustworthy, not gimmicky or sensational.


The Trust Rule

(REQUIRED)

If a trend is low-opportunity because it is already well covered, it should not surface as a trend at all.

Showing “here’s a trend” beside “there’s no opportunity here” is a contradiction that erodes a writer’s trust in the tool, and the writer learns to second-guess everything the platform surfaces. Protecting that trust is a first-order editorial requirement.

Editorial gut-check before publishing a trend page

If any answer is no, this is not a Trend Hunter trend page.


Editorial Stance & Voice

The core principle

Present signals. Let readers draw conclusions. Trend Hunter reports what is emerging and why it matters—without pushing a verdict. Writers surface the evidence (search velocity, cultural signals, cross-platform momentum) and trust the reader to reach their own judgment. This is editorial restraint as a trust mechanism, not hedging or vagueness.

Restraint is not neutrality-to-a-fault. A confident, well-sourced observation is restrained; a pushy directive is not. The line is between reporting a signal and issuing a command.

Restraint governs stance, not service. Giving the reader actionable next steps—how to experience a trend, the steps, the picks (Intent Tier 4, “How to Experience It”)—is service, not a pushed verdict. Provide the how; let the reader decide whether. “Here’s how to try it” is service; “you need to try this” is a verdict.

Voice in one breath:

Voice attributes

Write with a voice that is Smart, Approachable, Curious, and Practical.

Do / Don’t

Do Don’t
“Searches for X have climbed steadily since spring.” “You need to try X right now.”
“Three signals point to this gaining momentum.” “This is the next big thing, guaranteed.”
“Here’s what’s driving interest and why.” “Don’t miss out—everyone is doing this.”
Attribute the signal (platform, data, timeframe). State momentum as fact with no source.
Let the reader conclude whether it fits them. Tell the reader how they should feel about it.

Tone Do’s

Tone Don’ts

Tone by context

Voice is constant; tone flexes to the moment. Restraint holds in all four.

Context Tone shift
Trend page (anchor) Measured, evidence-led. The reference version of the voice.
Deep explainer Patient, clarifying. Assume curiosity, not prior knowledge.
Prediction card Forward-looking, confidence-signaled. Informed forecast, never certainty.
Video script Conversational, human. Spoken cadence, same restraint.

A “deep explainer” is a depth treatment of a trend (patient, clarifying)—not a separate named format. The named formats are Trend pages (the anchor) plus the Beta/GTM Infographics, Prediction cards, and Video described under Format Standards.


Intent Tiers

(REQUIRED)

Structure content around the reader’s intent level. A single piece may address one or multiple tiers—pick what the topic warrants and signal the tier in the lead.

Tier 1: Discovery—”Entertain me”

“Show me something new or surprising in a topic I care about.”

Tier 2: Understanding—”Make sense of this for me”

“Explain what this is, why it matters, and who it’s for.”

Tier 3: Evaluation—”Help me compare or choose”

“Help me determine if this trend is worth my time or money.”

Tier 4: Action—”Tell me what to do next”

“Give me the routines, itineraries, products, or steps.”


Article Structure

(REQUIRED)

Every piece of trend content should naturally incorporate these four elements, though not rigidly in this exact order:

What It Is

Clear definition in one sentence. Don’t bury the lead or make readers work to understand the basic concept.

Why It Matters

Relevance plus emotional value. Why should someone care about this trend? What does it mean for their life?

Who It’s For

Universal benefit framing, not demographic-specific. Frame around needs and interests, not age groups or stereotypes.

How to Experience It

Practical steps, tips, or product picks—the how, not a verdict (see Editorial Stance). Make it easy to act on without telling the reader whether they should.


Format Standards

Each named format inherits the voice and the Trust Rule; the rules below are additive. Trend pages are the anchor; the other three are Beta / GTM formats (not Alpha)—documented here as forward-state, not yet in the active CSA format roster.

Trend pages (the anchor)

The reference format and the home of the voice. Evidence-forward, measured, structured so the “why now” is unmissable. “Trend detail page” refers specifically to this anchor format.

Infographics / images (Beta/GTM, not Alpha)

Visual-first: the image carries the load, text is minimal and supporting.

The per-unit asset set

Every trend unit—a deep-explainer treatment of the trend plus its two bridge pieces—carries a consistent visual set. Ranked by production value and reuse across syndication:

# Type Node position Production Why / when
1 Trend Overview / Stat Snapshot Visual representation of the detail page ATLAS-automatable (human review before publish) Highest-value asset—every node should have one. Primary EEAT trust signal
2 Trajectory / Momentum Card Keyword-tracking view Generated from observed demand 3/6/12-month trajectory. Differentiating asset—drives syndication and Discover pickup; doubles as a shareable social card
3 Cost / Investment Breakdown Conditional slot Manual image set (commerce feed at Beta) Only where price is a real decision variable and the data has staying power. Skip on volatile-pricing nodes—it becomes a maintenance liability
4 Side-by-Side Comparison Visual representation of the Bridge pair Manual image set Converts “which one” search intent
5 Step-by-Step Process / Safety Checklist Deep-explainer or bridge piece (vertical-dependent) Manual image set Process graphic for how-to / service-journalism nodes; safety checklist for health-claim or physical-risk nodes. Ties to the gating list and the editorial review tier

#2 is a Trajectory / Momentum card, not a prediction. It is backward-looking by construction—it reports where observed search demand has gone, sourced from SEMrush / Search Console (or published-engagement history), never from ATLAS’s internal prediction or heat scores, which are unvalidated. This is a different artifact from the Prediction cards format below, which is forward-looking by definition and carries an explicit confidence signal.

Deliberately excluded: Trend-of-the-Week sparkline and directional-arrow widgets. Those are cross-node weekly rollup formats, not per-unit assets, so they don’t compete for a node-level slot.

Infographic brand ruleset

The minimum every infographic follows regardless of type, to limit surprises and keep facts and presentation consistent. Each rule carries how it is enforced:

Palette and typeface superseded, 2026-07-28. §1 previously read “Oswald” and “coral / teal / purple.” The color NAMES came from the content lead’s guidance; the HEXES behind them were placeholders, inherited from the internal console design system, and the generator’s own header recorded them as provisional pending TH design sign-off. That palette has since been obtained — the live TH design system (the Hunter sandbox, staging.b2c.trendhunter.com/sandbox, documented in ops-hub/TRENDHUNTER_DESIGN_SYSTEM.md) — so the provisional status is resolved against the real thing rather than re-guessed. These are public TH brand assets, so the TH system governs them.

The three accents map onto TH semantic tokens, which fit these cards better than the colors they replace: the system defines Trend Up and Trend Down roles for exactly the rising/declining meaning a momentum or comparison card carries. Note that Primary #A3FC03 and Trend Up #BEFC4F are different roles, not shades of one another — do not substitute either for the other.

1. Visual consistency

Rule Enforcement
Dark canvas matches the TH template by default—confirm with design before deviating for a lighter Bridge layout Gate + Manual. Coded: canvas and every color come from one token set, and any non-token color found in the rendered asset blocks it. Manual: design signs off on a deviation
Barlow Condensed for headlines and standout numbers; Inter for supporting text Gate (an element marked as a display element must render in the display face; only the licensed faces are embedded)
Accents limited to the three TH semantic tokens—Primary #A3FC03, Trend Up #BEFC4F, Trend Down #FD4D13—no ad-hoc colors introduced per-node Gate (scans the rendered markup, not a self-report)
One chart style per graphic—don’t mix bar + donut + icon-array in the same asset Gate (a type declares exactly one style, or declares itself chart-less)

2. Data accuracy & sourcing

Rule Enforcement
Every number traces to one named source (ATLAS output, SEMrush, cited study)—no uncredited stats Gate (a data-bearing asset without a known named source is rejected before render; a cited-study or manual-research source must carry the citation itself; each asset type further restricts which sources it will accept). The source is declared in the asset’s .meta.json sidecar, not drawn on the graphic—see the row below
Declare the source and pull date with the asset—not drawn on a production graphic Gate, inverted 2026-07-29 and narrowed 2026-07-30. A production render carries no source stamp on its face; the declaration travels in the .meta.json sidecar. A --draft/review render still draws the stamp, because the §5 human gate asks a reviewer to cross-check every figure against its source and showing the source is what makes that check performable. Rationale: the stamp was reader-facing typography carrying operational strings—one source label was a literal Snowflake table name—and a fixed 62% draw band silently elided it mid-phrase, losing part of the declared universe while every sourcing gate reported clean. The declaration briefly moved to the alt text instead; that was withdrawn on 2026-07-30, because the caption is what a reader hears and a caption opening on our sourcing and closing on our methodology is written for the operator. This does not relax the house data-universe rule: source, scope, window and caveats remain mandatory and remain gated on the spec—universe-declared fails closed without them—they are simply not printed at the reader
An asset drawing on a real data pull declares its data universe: source, scope, window, caveats Gate (a real-pull source with no declared universe is refused; a representative sample declares itself as one)
Flag stats past their freshness window instead of re-using them silently Gate (the window is a property of the type, not of the input, so a caller can’t widen it; a windowed asset with no pull date fails closed)
If ATLAS and manual research conflict, manual research wins and gets flagged for review—no silent overwrite Gate + Manual. Coded: ATLAS prediction and heat scores are barred outright as a trajectory-card source. Manual: resolving a genuine multi-source conflict, which needs a field no asset type carries yet
ATLAS is admissible for what it counted, never for what it scored Gate + Manual. atlas is an accepted source on the count-based types (Trend Overview, Side-by-Side) for total_cluster_size and distinct_source_count, which are observed counts with citations behind them. heat_index, prediction_score and the /timeseries heat series remain barred on every type. Coded: the source enum, plus the extractor’s refusal to emit a spec carrying a barred field. Manual: a hand-authored spec’s field provenance is not re-derived on the finished asset, so nothing gates that case. interest_peak_pct is excluded as uninformative—Google Trends indexes each series to its own peak, so on the ~70% of records that carry it at all, the field is only ever 100 or 0

3. Copy & claims

Rule Enforcement
Strong-verb health/safety claims follow the same gating-list rules as article copy—visual format is not an exemption Gate (screens every text layer on the face, not just the headline; an uncleared claim blocks). The clearance itself is a human confirmation
Round numbers honestly—no false precision (no “73.4%” from a sample of 12) Gate, partial (shared formatters round before choosing a unit, and refuse decimals when the supplied sample size is under 100; a caller-supplied pre-formatted string is not re-checked)
Spell out units on first use; abbreviate consistently after that Manual
Public-facing punctuation rules apply to on-asset copy and alt text: no em dash, en dash or semicolon Gate (screens the drawn text and the emitted alt text; the source stamp is provenance metadata and is exempt)
No celebrity name or likeness without gating-list clearance HITL gate (blocks an asset that declares a celebrity without clearance; detecting an undeclared name is not automated)

4. Presentation & legibility

Rule Enforcement
One takeaway per graphic—if it needs two headlines, it’s two assets Gate
Keep it scannable: cap the data points so the graphic reads in under 5 seconds Gate (per-type counts: 2–4 stat tiles, a trajectory series of 3–60 points, 3–5 cost rows, exactly 2 compared options of 2–4 matched rows, 4–6 checklist items. The cost and checklist floors are 3 and 4 rather than 2 and 3 because a square canvas measurably cannot be filled below them—2 cost rows leave 36.8% of the card bare, 3 checklist items 33.7%—and the floors are enforced at intake so the shortfall surfaces as a clear refusal rather than a rejected render)
Must stay legible at thumbnail size—test at the scale Discover and Apple News actually render it Gate (WCAG-AA contrast on every text layer, plus a minimum pixel size and a minimum share of canvas width, so essential text survives downscale)
Alt text / caption is required on every asset for accessibility and syndication feeds Gate (emitted alongside the asset)
The composition fills the frame—no band of bare canvas sitting between two pieces of content Gate (measures the rendered image, not the markup. Two ceilings: an interior gap over 10% of canvas height blocks, and a card carrying ink on under 20% of its rows blocks, so a blank render cannot score a perfect zero. The bottom margin is measured and reported but not gated — its structural maximum equals its legitimate maximum, so no ceiling on it can discriminate; an over-deep margin is caught instead as interior overflow. Not detected: an over-padded surface, which reads as content; and a bare column, since the measurement is horizontal-band only. The over-padded surface is bounded in the templates instead, since the gate cannot see it: each surface is capped as a share of canvas height, the surplus leaves as bottom margin, and a surface centres its own content so what the cap cannot reclaim reads as padding rather than as a hole. Calibration note: the ceiling’s headroom is narrower than once published — a legitimate render reaches 6.94% against the 10% ceiling, and the interior charge is driven as much by headline length as by item count)

5. Pre-publish check

Rule Enforcement
Human review required before publish—ATLAS-generated assets are not exempt HITL gate (no approval without a confirmed review)
Cross-check every fact against the source article to catch variant drift across format versions HITL gate
Confirm the content cluster’s editorial review tier—Tier 1/2/3 per the content review & escalation framework, which is review intensity, a different axis from the reader intent tiers above HITL gate (the confirmed tier is recorded with the asset)

Two further rules apply to every asset:

No workflow state is drawn on an asset (2026-07-30). Three badges used to be: a SAMPLE DATA · NOT REAL FIGURES / UNVERIFIED data-state mark, an AWAITING REVIEW mark on a --draft render, and a DRAFT · NOT FOR PUBLISH palette mark. All three are withdrawn, along with the gate that enforced the first and the matching prefixes on the alt text. The states themselves are unchanged and still fail closed — backing is still classified from evidence rather than from what a spec says about itself, an unsigned asset is still refused approval — and all of it is recorded in .meta.json and reported by the CLI. The reasoning: these marks answer questions the person running the pipeline has, and that person already knows what they fed it; drawing them put an operational annotation on a reader-facing artifact. Anything a reader needs must be true of the asset itself.

Prediction cards (Beta/GTM, not Alpha)

A distinct, named format—not a trend-page variant. Forward-looking by definition; every prediction carries a signaled confidence level so the reader knows how firm the forecast is.

Video (Beta/GTM, not Alpha)

Spoken, human, same restraint. Follows a repeatable hook / content / close / credential architecture.

Beat Job
Hook Earn the next five seconds. Lead with the signal or the surprising angle.
Content Deliver the substance. One clear idea, evidence visible or spoken.
Close Land the takeaway without a hard directive. Restraint holds on camera.
Credential Establish why this voice is worth trusting—expertise, data, or source.

Format Guidelines


Headlines

Length—target the 90–104 character sweet spot. TH Headline Analysis (2026-06-02, 368 articles): headlines in the 90–104 band averaged the highest page views (614) and the strongest engagement; the <75 band drops to 352 PVs and 105+ falls off (340 PVs). The corpus median (86) runs slightly short—if a headline is under ~80 chars, it is usually missing an angle, a credential, or specificity. Add the missing element rather than padding. (Overrides the universal 80–100 default. A destination distribution platform with its own data-validated range—Apple News 90–120, SmartNews 70–90—takes precedence when the piece is built for that platform.)

Punctuation—avoid em-dashes (—), en-dashes (–), and semicolons (;) in public-facing headlines and body text. Em/en-dashes read as an AI-generation tell to the audience. Hyphens (-) in compound words are fine, and colons (:) are allowed (but don’t overuse them—vary sentence structure). Restructure the phrasing rather than swapping one banned mark for another. Avoid these marks unless a destination platform’s standard explicitly requires them. No terminal punctuation on headlines except a question mark.

Exception—proper nouns and titles. A banned mark that is part of a proper noun, publication name, or work or study title (e.g., the em-dash in Sympathy for Lady Vengeance—The Director’s Cut) is intrinsic to the name, not authorial punctuation, and is preserved verbatim. Where a destination platform enforces a hard character filter that cannot keep it, substitute a comma as the defined fallback, never stripping the mark with no replacement.

Numerals—keep numerals as numerals, even under 10 (space is tight in headlines), but never lead with a numeral—the signal opens the headline, not a count. A number-led headline is permitted only on a SmartNews-bound variant, where number-led heds are data-validated to perform.

Intent—match the headline’s question-type to the article’s job:

Intent Drives Use for
What / Why Traffic + reach Discovery, bridge content, trend entry points
How Depth + engagement time Deep explainers, where holding the reader matters more than initial reach

Choose deliberately: a How headline will not drive discovery traffic, and a What/Why headline on a deep explainer leaves engagement on the table.

Name the expert. When a piece draws on a credentialed source, study, or named expert, put that credential in the headline—not buried in the deck or body. Naming the expert is the single strongest performance lever observed (roughly double the page views, with higher engagement), and the only pattern that wins on both clicks and depth at once.

“Everything to Know.” Do not reach for “Everything to Know” / “Everything You Need to Know” as a fallback framing—it shows no measurable lift and tends to overpromise, so readers click and then bounce. Use it only when comprehensive coverage is genuinely the angle and a specific subject leads the headline. The topic does the work, not the phrase.


Openings


Word Choice


Style Mechanics

AP style

AP style is the baseline for all Trend Hunter written content. When a house rule on this page conflicts with AP, the house rule wins; otherwise defer to AP. (See the AP-Compatible tiers, §10.6.)

Punctuation

Ban em-dashes (—), en-dashes (–) and semicolons (;) in public-facing headlines and body text. This is a ban, not a preference—”avoid overusing” is not this rule. Em/en-dashes read as an AI-generation tell to the audience, which is why the mark is removed rather than rationed.

Stated here as well as under Headlines deliberately: the ban governs body text, and a writer looking for a punctuation rule looks in Style Mechanics. It is one rule in two places, not two rules—punctuation.banned_marks in the conflict register is the machine-readable source, and write-assist enforces it programmatically.

Numbers, data & claims

Bylines & disclosure

The rule is about WHERE the disclosure goes, never WHETHER it is required. Both halves below are one rule and may not be quoted apart. A restatement that carries only the first half—”no AI disclaimer is required”—is a misstatement of this standard, not a shorthand for it.

If you are copying this rule into a writer-facing guide, copy both bullets. The byline bullet on its own reads as a blanket exemption and has already been reproduced that way downstream. Where only one sentence fits, use: “No AI tag on the byline; the standard AI disclosure still applies in the article body and the CUE checkbox.”

Auto-population

ATLAS-generated content is pre-filled as a starting draft for human editing—never published as-is.

Internal language

House terminology


Distribution & Channel Fit

The same trend often ships to multiple channels. Voice never changes across channels; framing and length adapt to each surface’s reader and constraints. A channel variant is a genuine reframe for that audience—not a lightly reworded duplicate—and follows the standard varianting workflow: a semantic-difference requirement, peer review, and escalation.

Channels, categories & collections (taxonomy)

Three independent structures organize Trend Hunter content. Keep the terms distinct:


Inclusivity Standards

(REQUIRED)

Frame content by psychographic need, never by demographic assumption.

Good Examples

Bad Examples—Never Use

Image alt text

(REQUIRED)

Every editorial image carries alt text describing what is in the image. The article headline is not alt text.

Reusing the headline is the current practice on the sister titles, and it was adopted for a real reason: it makes a file findable later. It fails the purpose alt text serves. A screen-reader user hears the headline announced, then hears it again where the picture is, and learns nothing about the picture. The headline describes the article; alt text describes the image.

Case What to write
The image carries information Describe what is in it, specifically, in a sentence or less. “A woman applies red-light therapy to her jawline with a handheld device.”
The image is decorative and carries no information An empty alt attribute. That is the correct signal for “skip this,” and a screen reader honours it. A headline in that slot is worse than nothing.
The image contains text a reader needs The text itself, not a description of it
The image is a chart or infographic The takeaway, then the shape. The generated-asset rules in §2 already gate this

What alt text is not. Not the credit, which is its own field. Not the caption, which a sighted reader also sees. Not a keyword slot. And not a filing label: the find-my-file need that produced the headline practice belongs in the filename or the image library’s own metadata, where it does not sit between a reader and the page.

Scope. This extends the alt-text requirement already gated on generated assets to every image placed in the CMS, including stock and licensed photography. Accessibility is why the rule exists; discoverability is a side effect, not the goal.


Review & Escalation

Standards only hold if the workflow enforces them. Review confirms three things in order:

  1. Trust Rule first. Does this justify surfacing as a trend? If not, stop—no amount of polish fixes a page that shouldn’t exist.
  2. Voice second. Signals presented, no verdict pushed, evidence attributed.
  3. Mechanics third. AP style, headline within the platform target, claims sourced, house terminology.

Escalate when: a trend’s “why now” is genuinely contested; a prediction’s confidence level is hard to call; or tool friction is blocking the standard (escalate as a platform issue, not an individual failure).


Anti-Patterns

Beyond the system quality standards, these patterns specifically undermine credibility with the Curious Optimizer audience:

Anti-pattern Why it fails
Surfacing a saturated topic as a trend (no live “why now”) Breaks the Trust Rule; erodes writer trust in the tool
Pushing a verdict (“you need to try this”) Breaks restraint; the reader draws their own conclusion
An unsourced claim run as a signal Evidence-forward voice requires source + timeframe
Generic “trend roundups” without insight or analysis Curious Optimizer expects vetted curation, not list-padding
Dense, academic explanations Disrespects reader’s time; the reader is “Low Time, High Value”
Content that talks AT rather than WITH the reader Curious Optimizer reads as a peer, not a student
Trendy slang to seem current (“slay”, “bestie”, “vibes”, etc.) Reads as inauthentic; will date quickly; violates voice attributes
Demographic stereotyping in any form Persona is psychographic, spans all demographics—stereotyping breaks the audience contract
Burying practical takeaways at the end Lead with value; reader may not finish the piece
Hypey or over-the-top language Reads as clickbait; degrades trustworthiness signal
Sensational framing Curious Optimizer filters for credibility, not heat

Pre-Publish Checklist

Trust Rule + audience + voice:

Structure:

Format:

Headline:

Mechanics:

Anti-patterns avoided: