Spoiler-safe by playback position
Hold results and reactions to each viewer's position in a stream, so on-demand and time-shifted audiences are never spoiled by a live moment
Solutions · Media & Publishers
Reach you rent is not an audience you own
Publishers and broadcasters sit on huge, mostly anonymous audiences that live in a rented, cookie-dependent middle layer. Sfere resolves them into first-party subscriber profiles you own, then helps you grow paid audiences and sell them directly to advertisers, post-cookie
- First-party profiles
- No third-party cookies
- Consent on every profile
- Subscriptions + advertising
Playable demo · The night curve
Fire the offer at the peak of intent, not at article five
Drag across one day of audience rhythm (the commute skim, the lunch spike, the primetime lean-in) to watch the signals read live and see which paywall philosophy actually meets the reader
9:00 PM
The moment
9:00PM Primetime
The night's biggest audience at its deepest attention. This is when the offer should land
Signals, read live
- Watch time · this session
- 42 min
- Scroll depth · this article
- 90%
- Return cadence · this week
- 8.1 visits
- Propensity to subscribe
- 94/100
The paywall decision
Fixed meter
Counting · 3/5
Set months ago, it fires at article five regardless of the clock, blind to tonight's peak
Sfere timing
Offer fired
94 propensity / 100
Over the threshold: the offer lands now, on the reader's own terms
Illustrative curve: Sfere scores the signals shown (watch time, scroll depth, return cadence) in real time, and you set the threshold, the offer, and the channel, with one profile across site, app, email, and push
The platform, tuned to publishing
One resolved audience, two revenue lines
The connected platform, tuned to the two revenue lines publishers actually run: subscriptions and advertising, both built on knowing who is on the other side of the screen
Underneath both lines · 01
Recognize the logged-out visitor
Stitch anonymous sessions across site, app, and stream into one profile, so you know a reader before they ever register or subscribe
Underneath both lines · 02
Read propensity to subscribe
Watch time, scroll depth, and return cadence are the signals that precede a subscription. Score them as they happen instead of metering on a fixed article count
The subscription use case
Lift free readers to paid on the signals they already give you
A metered paywall fires on an article count and misses the moment intent is real. Once identity is resolved, propensity to subscribe is something you read directly from watch time, article depth, and return frequency, and the offer lands when a reader is closest to paying rather than on an arbitrary threshold
- Read session depth, watch time, and return cadence the moment they happen, not on a metering rule set months ago
- Time the subscription prompt to the reader closest to paying, across site, app, email, and push from one profile
- Report which prompts converted to paid, so you optimize the offer instead of guessing the meter
Metered paywall
Blind to the clock
Wall fires at article 5, whenever the count says so
A rule set months ago, fired on a count. The 9 PM peak comes and goes; the meter never looks up
Sfere timing
Reads intent live
9:05 PM tonight, 12:40 PM tomorrow: the prompt lands when this reader is closest to paying, then reports back which prompts converted
Rented reach, replaced by owned inventory
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01
Fading
Third-party cookiesShrinking: blocked by Safari, Firefox, and ad blockers
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02
Consented first-party behavior
Read on your site, app, and stream
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03
Addressable segments
Packaged by you, priced by you
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04
Owned
Advertisers buy directly
Inventory you own, not reach you rent
Consent recorded on every profile, so each segment you sell carries its permission with it
The advertising use case
Sell first-party audiences directly, without third-party cookies
Third-party cookies underwrote most programmatic revenue, and Safari, Firefox, and ad blockers already strip them from much of your traffic. For a publisher, the compensating asset is a consented first-party audience packaged as inventory you sell yourself. Sfere resolves that audience on your properties and turns it into addressable segments buyers can transact against
- Build addressable segments from consented first-party behavior, with no third-party cookie in the path
- Sell those segments to advertisers directly, as inventory you own rather than reach you rent
- Keep consent recorded on every audience profile, so each segment you sell carries its permission with it
Around the offer
Hold the moment, catch the lapse, program what's next
The same first-party profile that times the paywall also protects the experience around it for live, time-shifted, and returning audiences alike
Retention
Catch the cancellation signal
A decline in watch time and longer login gaps precede a lapse. Segment on them in real time and intervene before the renewal date, not after the churn
Programming
Program the next session
Recommend the next read, watch, or episode from behavior and profile history, for known and anonymous audiences alike
Sell segments, not cookies
Package consented audience data into addressable segments advertisers buy from you directly, replacing reach you rent through third-party cookies
Turn your audience into subscribers and inventory you own
See how Sfere resolves anonymous audiences, times the paywall to real intent, and packages first-party segments advertisers buy directly. Book a walkthrough on your audience and inventory