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Sena shows why readers pick a book

Sena Decision AI shows publishing teams why readers pick a book, which format they would buy, and which paid displays went up. Every figure traces to a reader or bookseller answer, a dated bookstore photo, or the team's own sales files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample publishing
Format readers would buy
47%
Would buy the paperback
Top reason readers pick a title
Friend
Named by 33% of readers
Bookstores with the title on display
229 / 264
Co-op fees at stake
12,775
35 bookstores missing it
every figure opens a reader answer or a bookstore photo
BEFORE THE CHECKOUT

The sale starts at the front table

Publisher analytics usually reads sales, returns, and inventory by title. Readers choose earlier, on a front table, in a review, or from a friend, and booksellers decide which titles get that table.

Sales data shows which titles sold

Book sales data ranks titles by copies sold. The reason a reader picked one title over the one beside it sits with the reader.

Sena:Sena captures why readers chose a book, what they compared, and how they found it, by segment and market.

Co-op buys a place on the table

Co-op advertising pays bookstores for front tables and displays. Sales reps report that the display went up.

Sena:Sena captures a dated, geo-verified photo of each display in the bookstores a question names, with the title on it.

One title sells in four formats

A title can sell in hardcover, paperback, ebook, and audio. Which format a reader picks, and at what price, differs in each market.

Sena:Sena captures which format readers would buy and at what price, in each market.

The decisions

Four decisions publishing teams make

Sena adds reader and bookseller answers to publisher analytics for four decisions.

Decision 01

Set formats and list prices

Readers state which format they would buy and what they would pay for it, by segment and market, so the audiobook market and print share one plan.

Decides:Which formats launch together, and the list price for each.

See product concept testing →
Decision 02

Pay co-op for displays that went up

Each paid display is checked against a dated photo from the named bookstore, and the confirmed count sits beside the co-op plan.

Decides:Which accounts earn next season's co-op funds.

See sales decisions →
Decision 03

Find why booksellers stock or return a title

Owners of independent bookstores state why they stock a title, reorder it, or send it back, from discount and returns terms to local demand.

Decides:Which discount and returns terms each bookstore type gets.

See revenue and pricing decisions →
Decision 04

Acquire the books readers want next

Readers state which genres, topics, and series they would buy next, and where their book discovery starts.

Decides:Which genres and series the acquisitions team bids on.

See innovation decisions →
HOW A TEAM CHECKS EACH TITLE

A photo stands behind each display count

Each figure links to the display photo or reader answer behind it, set beside the team's own book sales data.

Display photos with place and date

A display counts as up once a geo-verified photo shows the title on it in a named bookstore.

Reader and bookseller answers by consent

Each answer is shared by choice and grouped by reader type and market. Every capture clears a multi-level QA flow before it counts. Sena declines a capture that misses the check, and the decline stays visible.

CO-OP DISPLAYS

Count the bookstores missing the display

Co-op advertising starts with two counts: the bookstores paid for a display and the bookstores where a dated photo shows the title on it. The gap, priced at the team's own co-op fee, is the spend to recover or redirect.

  • Displays confirmed by bookstore type and market
  • Each missing display tied to the account that was paid
  • Fees at stake, from the team's own co-op fee per bookstore
Co-op displays calculatorExample figures
ConfirmedMissing
Bookstores missing the display
35
Co-op fees at stake
12,775

The co-op display calculator shows the bookstores missing the display and the fees at stake.

A walkthrough on one title

A walkthrough takes one title in one market through Sena's publishing industry analysis, from display photo to the co-op decision.

By team

Which publishing team owns the question?

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

Sales

Co-op plans set from dated display photos, and account terms from what independent bookstores say they need.

Book a sales 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.

SALES DATA AND READER ANSWERS

Publisher analytics from the reader's side

AreaCommon methodSena
Title choiceWeekly book sales dataWhy readers chose the title and what they compared
FormatsFormat sales by titleThe format and price readers would choose
Co-opRep reports of display setupDated photos from each named bookstore
Bookseller termsAccount history and returnsBookseller reasons to stock, reorder, or return
AuditingSales, returns, and co-op files matched by handEach figure tied to its photo or answer

One title, one market, one decision

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

FAQ

Questions publishing teams ask

01 What is publisher analytics?
Publisher analytics is the practice of reading sales, returns, formats, and reader choices to decide what to acquire, how to print it, and where to promote it. Sena, a Decision AI with access to real-world data, brings decision intelligence to publishing teams by adding consented reader and bookseller answers and geo-verified display photos to the team's own files, so each figure traces to the answer or photo behind it.
02 How do publishers read publishing trends?
Publishers read publishing trends in what readers buy and what booksellers order, by genre and market. Sena captures format choice, how readers find books, and stocking reasons by segment and market, and the team sets those answers beside its own publishing industry analysis.
03 How does the book publishing industry use reader data?
The book publishing industry uses reader data to choose acquisitions, formats, prices, and marketing for each title. Sena adds consented reader answers on why people buy and how they find books, beside the team's publisher analytics. Acquisitions and format calls then follow what readers asked for.
04 How is the audiobook market different from print?
The audiobook market sells the same title to a reader who listens, at a separate price and through separate stores. Sena captures which readers would choose audio over print, and at what price, so format decisions rest on stated demand.
05 How do readers discover new books?
Book discovery runs through bookstores, reviews, friends, and authors readers already follow, and the mix differs by market. Sena captures how readers found the books they bought. A book marketing strategy then spends where those readers already look, from a bookstore front table to the reviewers they follow.
06 What is co-op advertising in publishing?
Co-op advertising is money a publisher pays a bookseller for display space, front tables, or featured placement. Sena confirms each paid display with a dated, geo-verified photo from the bookstores a question names, so co-op funds go to accounts that delivered.
07 Which systems does Sena connect to for publishing teams?
Sena connects to the systems publishing teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Reader answers and display photos join that data, so the team's publisher analytics covers sales, returns, and each reader group.