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Sena shows why viewers subscribe and cancel

Sena Decision AI shows streaming and entertainment teams why viewers subscribe, which tiers they pay for, and what makes them cancel. Every figure traces to a viewer answer, a campaign photo, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample streaming
Top reason viewers cancel
Price
Named in 38% of cancellations
Tier viewers would pay for
Ad-free
44% would pay for it
Subscribers at risk
31,656 / 263,800
Monthly revenue at risk
348,216
From 31,656 subscribers at risk
every figure opens a viewer answer or dated billboard photo
BEFORE THE SIGN-UP

Viewers decide before they press play

Most streaming media analytics starts from the sign-up, viewing, and cancellation figures a service already holds. Viewers choose a service before they press play, weighing price, the catalog, and the services they already pay for.

Churn reports show who canceled

Billing data shows each cancellation by plan and month. The reason sits with the viewer: price, the catalog, or a rival service.

Sena:Sena captures consented input from viewers on why they subscribed, what they compared, and what would make them cancel, in each market.

Plan tiers compete on price and ads

Plan data shows which tier each viewer picks. Viewers weigh the price, the ads, and the rival's offer.

Sena:Sena captures what each kind of viewer values in a tier and what they would pay.

Campaigns report reach before sign-ups

Media plans show where a launch campaign was booked. The street shows whether the billboards and posters went up.

Sena:Sena captures geo-verified photos of the billboards and posters at the locations a campaign names.

The decisions

Four streaming media analytics decisions

Streaming media analytics covers what viewers watch, and Sena adds why they subscribe, stay, or leave.

Decision 01

Find why viewers cancel and what wins them back

Viewers state which services they compared, why they canceled or stayed, and which offer would bring them back, by segment and market.

Decides:Which price, content, or offer change keeps the viewers most likely to leave.

See growth decisions →
Decision 02

Price each plan tier against what viewers value

Viewers state what they value in each tier, from ads to price to the catalog, and what they would pay for each.

Decides:Which tier to reprice, rebundle, or add.

See revenue and pricing decisions →
Decision 03

Choose the content that wins sign-ups

Viewers across the target markets state which kinds of content would make them subscribe or stay, read against entertainment industry trends.

Decides:Which genres and formats to commission or license next.

See product decisions →
Decision 04

Confirm the launch campaign ran where it was bought

Sena captures geo-verified photos of the billboards and posters at the locations a campaign names, and viewers state whether the campaign reached them.

Decides:Which placements earn the next campaign budget.

See marketing decisions →
HOW A TEAM CHECKS EACH FIGURE

Each viewer figure traces to its source

Sena ties every figure to the answer or photo behind it, so a team checks each figure against its own media entertainment analytics.

A geo-verified photo per billboard and poster

Each campaign reading carries its photo, location, and date.

Consented input, checked before it counts

Each reason comes from a viewer who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.

VIEWERS AT RISK

Count the subscribers ready to cancel

Subscription churn starts with two counts: the subscribers on the base and the share who would cancel for a cheaper or better offer. The team enters both and checks that share against viewer answers in the market, by segment, with the rival services named.

  • The share ready to cancel, by viewer group and market
  • The rival services viewers name, and the offers that would keep them
  • Revenue at risk, from the team's own revenue per subscriber
Viewers at risk calculatorExample figures
StayingAt risk
Subscribers at risk
31,656
Monthly revenue at risk
348,216

The viewers at risk calculator shows the subscribers ready to cancel and the monthly revenue at risk.

A walkthrough on one viewer segment

A walkthrough runs Sena on one viewer segment in one market, from viewer answer to the retention decision.

By team

Which streaming team owns the question?

Pick the closest fit, and the walkthrough starts from that team's question.

Content strategy

Media and entertainment analytics on the content that wins sign-ups, read against entertainment industry trends.

Book a content walkthrough →
How it works

How Sena answers a market question

Step 01 · Capture

Capture

Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.

Step 02 · Read

Read

Sena reads those captures beside the files and systems already in use, across 250+ integrations.

Step 03 · Compare

Compare

Sena compares the market against the plan and shows each gap, with every figure traced to its source.

AUDIENCE ANALYTICS

Viewer answers beside streaming media analytics

AreaCommon methodSena
CancellationsStreaming churn codes from billingViewers state why they canceled and what would win them back
Plan pricingTake-up by tierWhat viewers value in each tier and would pay
ContentStreaming industry trends and viewing hours by titleWhich kinds of content viewers say win their sign-up
CampaignsMedia plans and placement reportsGeo-verified photos of each named billboard and poster
AuditingSign-up, cancel, and campaign reports matched by handEach viewer figure carries its answer or campaign photo

One viewer segment, one market, one decision

Talk to the Rwazi team about one viewer segment, one market, and the decision on the table this quarter.

FAQ

Questions streaming teams ask

01 What is streaming media analytics?
Streaming media analytics is the practice of reading sign-up, viewing, and cancellation data to decide what to price, commission, and promote. Sena, a Decision AI with access to real-world data, brings decision intelligence to streaming teams by adding consented viewer input and geo-verified campaign photos to the data a team holds, so each figure traces to the answer or photo behind it.
02 What is media and entertainment analytics?
Media and entertainment analytics reads audience, revenue, and content data across streaming, film, music, and live events. Media entertainment analytics teams pair that data with outside signals, and Sena adds viewers' own reasons to subscribe, stay, or cancel, from price and catalog to the shows they came for.
03 What does entertainment analytics measure?
Entertainment analytics measures who watches, what they pay, and why they stay with a service or leave it. Audience analytics covers the first two from a service's own data, and Sena adds the third from what viewers say, market by market.
04 What drives subscription churn in streaming?
Subscription churn in streaming rises when price, the catalog, or a rival offer outweighs what viewers value. Sena captures the reasons viewers give for canceling and the offers that would keep them, by segment and market, read beside the team's own billing files.
05 What shapes streaming market share?
Streaming market share shifts as viewers add, drop, and switch services. Sena captures which services viewers keep, which they would drop first, and why, so a team reads the reasons behind its share, from price and catalog to the rival offer that pulled a viewer away.
06 What shapes the SVOD market?
The SVOD market, the paid video subscription market, moves on price, the catalog, and the services viewers already pay for. Streaming industry trends show the direction, and Sena adds why each kind of viewer picks one service over another and which service they would drop first when budgets tighten.
07 Which systems does Sena connect to for streaming teams?
Sena connects to the systems streaming teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Viewer answers and campaign photos join that data, so streaming media analytics covers the team's own figures and the reasons viewers give.