Ninox 4 · Paid Media + Product Revenue

Performance Command Center

Ninox 4 performance — paid media, funnel and customers, live from BigQuery & HubSpot.
connecting…

From To
connecting…
01

Paid → revenue funnel

width = log-scaled stage volume
02

Paid media trend

pick up to 3 metrics
tap any day to pin a note a pulsing gem marks a hidden insight
BM

Paid CTR vs industry benchmarks

per platform — a blended CTR would be meaningless
GEO

Where it happens — signups by country

03

Notes & context

Δ
01

Acquisition funnel

width = log-scaled stage volume
02

KPIs by funnel phase

03

Evidence tables

Delivery by stage

S1 awareness · S2 consideration · S3 action — parsed live from campaign names.

Top ad sets by spend

Highest-spend LinkedIn ad sets in the selected range.
04

Best performing ads

Ranked live by the selected date range & metric. To show the creative inside the card, drop its export into public/creatives/<creative-id>.png (or .jpg/.mp4) — picked up automatically, no restart. The Marketing API is not wired and the Fivetran post sync carries no content for current ads (post_history ends 2024-06), so cards without a local file show format + live metrics; hierarchy_level_3 supplies copy where the naming carries it.
TR

Trend over time

pick up to 3 metrics
GEO

LinkedIn-paid signups by country

SPLIT

Company-size split — LinkedIn-attributed signups

05

Notes & context

Campaign
01

Google Search funnel

width = log-scaled stage volume
02

Trend over time

pick up to 3 metrics
tap any day to pin a note a pulsing gem marks a hidden insight
CONV

What a "conversion" actually is — action split

Campaigns · selected action
Weekly trend · selected action
03

Google Ads source tables

Ad groups

Live from hierarchy_level_2, funnel stages included.

Keywords, search terms & AI Max

04

Best performing ads

Ranked live by the selected date range & metric, ad grain (ad_id). Real RSA copy is now live from the google_ads raw transfer — cards show actual headlines & descriptions, Google's Ad Strength, and link to the real landing page. Image assets are not included in the transfer; a screenshot dropped into public/creatives/<ad-id>.png still shows inside the card automatically.
GEO

Google-paid signups by country

SPLIT

Company-size split — Google-attributed signups

05

Notes & context

BI contacts model · rpt_marketing_contacts
Stage
01

People

Click a row for the full profile: attribution, revenue split and the GA4 web journey. The journey links via the product user-id and covers roughly a third of contacts — anonymous pre-signup visits stay unlinkable until the attribution identity map exists. Emails are internal business-contact data; treat them accordingly.
Identity map + GA4 sessions
01

The LinkedIn reality — spend vs evidence per stage

click a stage for campaigns · click assisted for the people
02

Where paid clicks die — click → session survival

03

Journey explorer

what touched whom, in what order — click a path for the people
Days from first touch → signup
Touches per signup
04

Model lab — pick a model, see who gains credit

BI cohorts × GA4 activity
?
What this page answers: do the people we sign up actually come back and use Ninox — or do they vanish? Each row is a cohort: everyone who signed up in that week. Reading left→right, W1 = the share who returned the week after signup, W4 = still active a month later. Signups are easy to buy; this shows which weeks (and, via the cohort click-through, which channels/campaigns) brought people who stay. A paid push whose cohort dies by W2 is buying dead weight, whatever its CPA says.
Cohorts by
click a cohort for the people
01

Do they come back? — cohort heatmap

02

Average retention curve

measurable base, weighted
Population
Where these came from — by source multi-touch · HubSpot acquisition channel · total then attributed split
01

Final revenue funnel layer

BM

Funnel vs industry benchmarks

every figure carries its published source
Directional, not gospel: every study defines “activated” and “PQL” differently. Our figures come from the BI contacts model for the selected window and follow the date filter.
02

Attribution quality

By attribution method

How each contact was tied to a source.

By acquisition channel

Paid and organic, contact-level counts.
03

Paying organizations · live CRM

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04

Metric contract

GEO

Where signups happen — by country

Growth over time

Segment
selecting a segment re-values the KPI tiles above

Stage-to-stage conversion rate

FromTo
loading growth trends…
SPLIT

Company-size split — full funnel cohort

05

Notes & context

01

What changed

loading…
02

Paying organizations

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How to read: sorted by Latest activity — the most recent commercial event (first purchase, free→paid conversion, or renewal), so anything that just happened is on top. In CRM since = when the org record first synced (for a converted free user this is earlier than the first payment; ≈ marks the initial backfill window). Signup cohort = the earliest linked user's Ninox signup. Current period = the running plan window — for monthly plans the start moves forward at every renewal, so it is not a win date. Click any row for its linked users.
03

By plan

MIX

Commercial mix & momentum

Paying orgs by plan
Licences by plan MRR needs the UMS table (asked BI)
New wons per week selected range · won date
SPLIT

Company-size split — paying organizations

04

Notes & context

Global notes show here and across tabs for the covered dates.
GA4 · analytics export
01

Key conversions

the KPIs the site is measured on · GA4 · selected range, daily trend
02

Signups & engagement

GA4 · selected range
03

Pages & content

Property
Language
View
04

Where visitors come from

first-touch source / medium + property mix · GA4

Channels

First-touch source / medium.

Traffic by property

One GA4 property tracks the whole estate — this is the mix behind the headline numbers.
05

Website trend — sessions, funnel events, rates

GEO

Where visitors & signups come from

SPLIT

Company-size split — all web signups (GA4 ↔ contacts join)

06

Notes & context

Global notes show here and across tabs for the covered dates.
GA4 + Search Console · blog pages only
01

Post performance

Language
Show
Views · all vs Landed first — the distinction that matters: Views · all counts every view of the page, wherever it sat in the visit (a reader may have arrived on the homepage and clicked through to it). Landed first counts only the visits where this page was the entry point — the reader arrived here directly from Google, social or a link, so the page earned the visit. High views but a low “landed first” share = people read it once they are already on the site; a high share = the post pulls new readers in. Both are additive across rows.
Also: click any row for that post's top search terms (Search Console) and CTA breakdown (GA4). Time / view = summed engaged time ÷ views. Read ≥75% = blog_article_read_75 ÷ article reads. Signups · in session = a signup completed in the same visit that read the post (“landed” = that visit also started here) — session-based, so these overlap across rows and must never be summed.
02

Which CTAs actually get clicked

click_text × cta_location × cta_action · GA4 · blog pages
One row = one distinct CTA (its wording × where it sits × what it does). location tells navigation apart from real conversion CTAs (e.g. blog_bottom_cta vs header).
03

Search demand — what Google sends the blog

Search Console · queries landing on blog URLs
04

Trend — blog reach vs organic clicks

GEO

Blog readership by country

05

Notes & context

Global notes show here and across tabs for the covered dates.
HubSpot Campaigns · email assets
CH

Engagement by email

click a chip to re-rank
Sends by email type
01

Performance overview

02

Attributed conversions & signups

03

What drives performance

Email type efficiency

Click rate by content/lifecycle type; bars start at zero and volumes are shown.

Language performance

Weighted rates from summed sends, opens and clicks.
04

N4 activity performance

openclick
05

Asset detail & methodology

GEO

Email-driven signups by country

SPLIT

Company-size split — Email-attributed signups

06

Notes & context

Global notes show here and across tabs for the covered dates.
Google Search Console
Segment
01

Branded vs non-branded

brand = query contains "ninox"
02

Clicks & impressions trend

sc-domain:ninox.com · web
03

Top queries & pages

Top queries

By organic clicks; CTR & avg position recomputed from summed clicks/impressions.

Top landing pages

Pages that received the organic clicks.
GEO

Organic demand by country

04

Notes & context

Global notes show here and across tabs for the covered dates.
LinkedIn company page
01

Post performance

Show
02

Audience growth

03

Who follows Ninox

follower demographics · current snapshot
Break down by
04

Company page visits

which tabs of the page people open
05

What kind of post works

Engagement rate = (clicks + reactions + comments + shares) ÷ impressions, recomputed per format from the raw counts — never the export's own engagement column, which is already a rate. Avg / post is reach per post, so a format with few posts stays comparable.
Impressions by format
06

Does the page drive the website?

Organic vs paid reach share of voice
Against industry benchmarks
GEO

Followers by country

05

Notes & context

Global notes show here and across tabs for the covered dates.