Own every Data journalism outlet search your data can answer
Data journalism outlet sits inside publishers & news, and inherits its search physics — but not its page set. Publishers already win on freshness and authorship; programmatic adds evergreen structured surfaces underneath the news stream — statistics, entity hubs, event calendars, data trackers — that keep earning after the news cycle ends. For data journalism outlet specifically, the surface is narrower and far more defensible: the queries carry the niche modifier, the buyer already knows what they want, and the competing pages are usually category-level content that never names the niche at all.
Start where your operational data is already clean — that is where the first batch pays for itself.
- Addressable URLs
- 269,325
- Pass the index gate
- 11%
- Templates shipped
- 4
What goes wrong in data journalism outlet programmatic builds
Tag archives and author pages get treated as programmatic surfaces. They are navigation, not content, and shipping ten thousand of them is how a news site loses its News eligibility. In a data journalism outlet build the trap is worse, because the addressable set is smaller: publishing the whole matrix regardless of data completeness leaves you with a thin cluster and nothing to consolidate into.
Where the data journalism outlet demand actually sits
Before anything is generated we rank the page families by intent, competitive difficulty and how complete your data is. Build order follows this table, not keyword volume.
| Page family | Representative query | Intent | Difficulty | Build priority |
|---|---|---|---|---|
Topics /topics/{entity} | data journalism outlet latest news | Informational | Medium | 100 |
Data /data/{metric}/{period} | data journalism outlet explained | Comparison | Low | 88 |
Explainers /explainers/{question} | data journalism outlet statistics this year | Informational | Medium | 74 |
Events /events/{event}/{year} | when is the next data journalism outlet | Informational | High | 73 |
How data journalism outlet entities multiply into pages
Your addressable surface is not a keyword list, it is a set of entity axes taken from your own data. Multiply them and you get the theoretical maximum; the index gate decides how much of it deserves a URL.
133 entity × 9 metric × 25 period × 9 questionWhat fuels a data journalism outlet surface
Programmatic pages are only as defensible as the data behind them. These are the sources we ingest before a template is written.
Decades of reporting, entity-tagged.
Entity hubs built from real coverage are defensible; scraped summaries are not.
Regulator filings, sports fixtures, election results, price indices.
Data trackers earn recurring visits and citations no opinion piece can.
Newsletter and on-site search demand.
Tells you which evergreen hub deserves editorial investment.
NewsArticle + Person authorRequired for News surfaces and for attributing expertise to a real journalist.
DatasetMakes data trackers machine-readable and quotable by assistants with attribution.
ClaimReview / aboutExplicit entity linkage keeps topic hubs from being read as tag dumps.
- Every generated page carries a named human editor and a visible review date, or it does not publish.
- Data pages state the source, the pull date and the licence — unattributed scraping is not a strategy.
- Nothing generated enters the News sitemap; that stays reserved for reported journalism.
The templates a data journalism outlet build ships
Each template answers a different question. If two templates would answer the same one, we consolidate instead of publishing both.
/topics/{entity}/topics/central-bank-ratesReader tracking an ongoing story. Scoped to data journalism outlet, so the modifier appears in the URL, the H1 and the data behind it.
Auto-updating timeline from your archive.
The URL tree and the rules that gate it
Two things decide whether a scaled surface survives: how the URLs nest, and what stops a page being born when the data is not there.
- /Home — links to every hub, nothing below it is orphaned.
- /topics/Hub for the topics family — filterable index, links to every child.
- /topics/{entity}Auto-updating timeline from your archive.
- /data/Hub for the data family — filterable index, links to every child.
- /data/{metric}/{period}Scheduled dataset ingestion with source attribution.
- /explainers/Hub for the explainers family — filterable index, links to every child.
- /explainers/{question}Editor-approved definitions with byline and review date.
- /events/Hub for the events family — filterable index, links to every child.
- /events/{event}/{year}Structured event records.
IF unique_facts_from("Your own archive") < 11SKIP — the URL is never generated. No page, no thin cluster, no cleanup later.
IF rows_from("Public datasets in your beat") IS EMPTYRENDER parent hub instead and 301 the child pattern into it.
IF query_overlap(new_page, existing_page) > 0.7CONSOLIDATE — extend the existing URL rather than publishing a near-duplicate.
IF source_row.updated_at older than the refresh windowFLAG for regeneration; the page keeps serving but drops out of the priority sitemap.
IF schema fields cannot be filled from real dataOMIT the schema block. Markup never states something the visible page cannot.
IF page passes gate AND data journalism outlet guardrails clearPUBLISH into the next release tranche, not all at once.
Would this data journalism outlet page deserve to exist?
This is the actual gate we run before a URL is generated. Toggle what your page would have and watch the verdict change.
Borderline. A human reviews the sample page before the family ships.
Every data journalism outlet page we generate has to clear 80 before it enters the sitemap. That single rule is why these sets survive scaled-content reviews.
Everything shipped in a data journalism outlet build
Fixed scope, fixed price. You own the data contract, the templates and the pipeline at the end of the engagement.
A normalised schema across your own archive, public datasets in your beat, first-party audience signals, with required fields, validation rules and the fill rate you need before generation starts.
One template per intent — /topics/{entity}, /data/{metric}/{period}, /explainers/{question}, /events/{event}/{year} — each with its own H1 logic, fact blocks and internal-link rules.
The scoring rule that decides which of the ~269,325 theoretical combinations become URLs. Typically 11% clear it on the first pass.
NewsArticle + Person author + Dataset + ClaimReview / about generated from the same source fields the page renders, so markup and content can never disagree.
Hub, spoke and sibling links generated from the data relationships, not hand-maintained menus — no orphans at any tranche size.
Tranche-by-tranche publishing with indexation checkpoints, so the surface grows at a rate Google's scaled-content systems read as normal.
Regeneration triggers tied to source-data changes, plus lastmod handling so recrawls are earned rather than requested.
Search Console segmentation per pattern, so you can kill an underperforming template instead of guessing at the whole set.
- You have no structured data journalism outlet data yet — no catalogue, registry or database to generate from.
- You want thousands of pages live this month. Every build here ships in tranches with indexation checkpoints.
- You need guaranteed rankings by a fixed date. Nobody can sell that honestly.
- You want pages written by a model with no fact source behind them — that is the exact pattern that gets sets deindexed.
Size a data journalism outlet programmatic surface
Defaults are conservative starting points, not promises. Change every field to your own numbers — the formula is shown so you can check it.
Value per conversion here approximates session RPM plus subscription propensity; publishers should substitute their own yield. Sized down to a specialist data journalism outlet operation rather than the whole category.
- Pages earning impressions
- 90
- Monthly organic clicks
- 2,880
- Monthly subscription / RPM-equivalents
- 12
- Monthly value
- $180
How this plays out in data journalism outlet
Delivery patterns from real builds, described by mechanism rather than by client name. We publish named results only with written permission and dated figures.
Traffic collapsing 48 hours after each story.
Entity hubs and data trackers built from the archive, updated on a schedule and interlinked from every relevant article.
A baseline of non-news traffic that does not depend on the next scoop.
What happens after you book a call
- 1Define the refresh trigger — what change in the source data forces a regeneration.
- 2Baseline Search Console by template family so performance is attributable per page type.
- 3Ship the first tranche, wait for indexation data, then release the next — never all at once.
- 4Export the source data and profile it for completeness before a single template is drafted.
Data journalism outlet: straight answers
How many pages does a data journalism outlet build actually need?›
Fewer than most agencies quote. We size the first batch from your data completeness, not from a keyword export — for a data journalism outlet operation that is usually a double-digit set of fully supported pages, expanded in tranches once indexation data comes back.
Will these pages compete with our existing data journalism outlet pages?›
No. Before generation we map every existing URL to its query cluster; where a new template would overlap, we either consolidate into the existing page or change the template's angle. Cannibalisation is a mapping failure, not an inevitability.
What data do you need from a data journalism outlet business to start?›
Whatever you already run on: your own archive and public datasets in your beat. Phase one normalises it into a data contract; nothing is generated until each required field is populated.
Do data trackers cannibalise our reporting?›
They feed it — the tracker is the canonical fact page every article links to, which concentrates authority instead of splitting it.
Will this jeopardise Google News approval?›
Not if generated pages stay out of the news sitemap and every page has real editorial ownership. We build the separation explicitly.
Want the Data journalism outlet surface scoped before you build it?
We'll audit the data source, size the first batch, set the performance budget and tell you honestly if programmatic is the wrong tool for your category.
