BeeIntel
Content Revenue Intelligence
Know which article paid the rent.
Your CMS knows what you published. Your ad stack knows what you earned. Nothing joins the two, so editorial decisions get made on traffic — which is not the same thing as money. BeeIntel puts a rupee figure next to every article, author and topic.
Articles · last 30 days
hindinews.example · sorted by pageviews
| Article | Views | RPM | Earned |
|---|---|---|---|
| IND vs AUS: live updates cricket | 184K | ₹12 | ₹2,208 |
| Best 5G phones under ₹15,000 auto/tech | 31K | ₹58 | ₹1,798 |
| Home loan interest explained finance | 18K | ₹71 | ₹1,278 |
| Weekend box office roundup entertainment | 46K | ₹14 | ₹644 |
Insight
rule-basedBuying guides earn 4.8× your site average RPM.
- Site average RPM (30d)
- ₹13.40
- Buying guides RPM (14 pieces)
- ₹64.20
- Ratio
- 4.79×
→ suggested: pair cricket live-blogs with BeePlay video
The problem
What this is costing you right now
Thirty articles a month and no idea which ones earned
The desk publishes, the number arrives at month end, and nobody can connect the two.
The traffic winner that earns almost nothing
A piece does 184,000 pageviews on a low-CPM topic from a low-CPM geo and gets celebrated in the group chat.
Evergreen money quietly dying
An article that has paid for itself twice over slips down the rankings, or its affiliate links go dead, and the revenue drains away over months.
How it works
What BeeIntel actually does
No black box. Here is the whole mechanism, step by step.
BeeIntel — how it works
-
1
The ledger meets the CMS
BeeScope already knows what every page earned. BeeIntel joins that to your content metadata — author, topic, publish date, language, length — through a WordPress plugin, or a sitemap and RSS fallback for everything else.
-
2
Revenue lands next to the byline
Revenue and RPM per article, per author, per topic, per language. A cohort view compares this month's output against last month's at the same age, because a piece published yesterday has not finished earning.
-
3
Insight cards that show their working
"Auto reviews earn 3.2× the site average — 14 pieces, 90 days." Every card shows the arithmetic behind it. A recommendation you cannot check is just a vendor telling you what to do.
-
4
Each insight links to the fix
A high-traffic low-RPM topic links straight into adding BeePlay video. An article with dead affiliate links links into BeeLink. The point is the action, not the chart.
-
5
A weekly digest the editor actually reads
Five insights maximum, in plain Hinglish, to WhatsApp or email. A report nobody opens is a report that does not exist, and twenty findings a week is how you get there.
- ₹ per article author, topic, language
- Cohort comparison like-for-like by age
- Cards show their maths no unexplained advice
- Evergreen decay alerts before the money goes
In context
Where BeeIntel sits on your page
The article itself is the unit — its author, topic, language and what it actually earned, all on one row.
No new tag on your pages. BeeIntel reads the ledger BeeScope already keeps and joins it to what your CMS already knows.
Specifications
Full technical specification
Publishers compare specifications, not adjectives. Everything is here, including what depends on partners we do not control.
The join layer
| CMS ingestion | WordPress plugin first, because that is what most Indian publishers actually run. Sitemap and RSS ingestion as a fallback for everything else, with other CMS integrations on the roadmap rather than promised. |
|---|---|
| Tagging | Author, topic, language and format tagged automatically from your CMS, with manual override. Topic taxonomy is yours to edit — an auto-tagger that decides your sections for you is a tagger you will fight with weekly. |
| Attribution | UTM-clean page attribution joined to the BeeScope ledger, so a single article reached through five different sources still totals correctly. |
Reports
| Reports | Revenue and RPM by article, author, topic and language, with a "money pages" watchlist for the pieces that carry a disproportionate share. |
|---|---|
| Cohort view | This month's articles against last month's at the same age. Comparing a three-day-old post to a two-year-old one is the commonest way content analytics produces a confident wrong answer. |
Insights & digest
| Insight cards |
Rule-based in v1 — no ML claims, because with one publisher's content history a model is an expensive way to overfit. Every card shows the arithmetic behind it and links into the module that would act on it.
|
|---|---|
| Decay alerts | Watches earning articles for ranking slips and dead affiliate links, and flags them while the revenue is still recoverable rather than after it has gone. |
| Weekly digest |
Top 5 insights, plain language, WhatsApp or email. Capped deliberately — a digest with twenty findings gets skimmed once and then filtered.
|
Some capabilities depend on third-party approvals and platform policies that are not ours to promise. Where that is the case, the spec above says so explicitly.
Expected impact
What the industry reports
Every number below is an industry benchmark published by a third party. BeeOS has not shipped, so none of these are results we have produced.
A capped weekly digest, in plain language, that an editor will actually read
The cap is the feature. Twenty findings a week is how a useful report becomes an ignored one.
Without BeeOS
- What the desk plans on
- Traffic and instinct
- Your top traffic article
- Assumed to be the winner
- Two-year-old earning post
- Unwatched
- Where an insight leads
- A chart
- Can you check the advice
- —
With BeeOS
- What the desk plans on
- Revenue per topic
- Your top traffic article
- RPM shown next to it
- Two-year-old earning post
- Decay alert
- Where an insight leads
- A link into the fix
- Can you check the advice
- Arithmetic shown on the card
Expected difference
Publish by ledger, not by instinct
No percentage here on purpose. The value is in decisions changed, and any figure we attached to that would be made up.
Every card
Shows the arithmetic behind its recommendation
Advice you cannot check is a vendor telling you what to do.
Rule-based
Insights in v1 — no machine-learning claims
One publisher's content history is not enough data to model.
5 / week
Insight cap in the digest
Deliberate. Twenty findings a week is a digest nobody opens.
Being straight with you: There is no uplift percentage on this page and we are not going to invent one. BeeIntel changes what you decide to publish, and the value of that depends entirely on whether you act on it. What we can say concretely: newsrooms that can see revenue per article stop optimising for traffic that does not pay, and that compounds quietly over quarters rather than showing up as a number next month.
Works with
Fits into the stack you already run
Platforms BeeOS integrates with — not customers, partners or endorsements.
- Google AdSense
- Google Ad Manager
- AdX (via partner)
- Prebid.js
- Amazon APS
- PubMatic
- Magnite
- Index Exchange
- Sharethrough
- Sovrn
Glyphs are generic shapes, not brand logos — these are platforms we integrate with, not endorsers.
Questions
BeeIntel — frequently asked
Module 4 · Data & Intelligence
The rest of the module
Modules 1 to 3 make money. Module 4 makes it visible, defensible and worth more — one honest ledger, first-party audience data, content-level intelligence, traffic-quality protection, and the curated demand that all of it unlocks.
BeeScope
Revenue Observability Dashboard
Every rupee, every source, every page. Nothing hidden.
BeeData
First-Party Audience Kit
Know your reader. Earn like you know them.
BeeGuard
Traffic Quality Shield
One bad traffic spike can end your account. We watch so it does not.
BeeCurate
Curated Deals Engine
Alone you are small. Curated, you are premium.
Be first in line for BeeIntel
BeeIntel is under active development. Early-access publishers get priority onboarding, founder-level support on WhatsApp, and locked-in launch pricing.
No spam — we write only when something real ships.