Home›Industries›Sporting goods
Industries

Sena shows what wins the sports aisle

Sena Decision AI shows sporting goods teams which lines hold the wall, where markdowns start, and which sport drives each pick. Every figure traces to a store photo, a shopper answer, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample sporting goods
Placements confirmed on the wall
1,317 / 1,480
Price by channel
−18%
Outlets below plan by midseason
Sport behind each pick
Running
Named in 39% of picks
Monthly sales at stake
104,320
163 placements missing
every figure opens a dated store photo or shopper answer
IN THE SPORTS AISLE

The wall decides the season's sales

Sporting goods industry analysis usually reads sell-in, season reports, and online prices. On the wall and in the aisle, a thin wall, an early markdown across the street, or gear made for the wrong sport decides what leaves with the shopper.

Walls thin out by midseason

Season orders show which stores took the line. By midseason, the wall shows which styles and colors are still up.

Sena:Sena confirms each style, color, and price tag on the wall from geo-verified photos, and shoppers state which sizes were missing when they shopped.

Each channel marks down on its own calendar

The price plan sets one price for the season. Specialty shops, big-box chains, and outlets each mark down on their own calendar.

Sena:Sena checks each photographed price tag against the season plan, channel by channel and store by store.

Shoppers buy for the sport and the fit

Season reports show what sold. Shoppers weigh fit, price, the sport they play, and the advice of store staff.

Sena:Sena captures which sport a shopper buys for, what decided the pick, and what would make them switch, by segment and market.

The decisions

Four decisions sporting goods teams make

Sporting goods industry analysis from the wall and the shopper settles these four decisions.

Decision 01

Confirm each wall and aisle the plan sets

Sena captures geo-verified photos in the stores on the plan that a question names and confirms the footwear wall, gear aisle, and seasonal display for each line.

Decides:Which channel or store gets the first fix before the season peaks.

See sales decisions →
Decision 02

Time markdowns by channel

Sena reads the price tag in each photo and flags the channels and stores where the season price slips below the plan.

Decides:Which channel holds full price and which marks down first.

See revenue and pricing decisions →
Decision 03

Find what decides the pick by sport

Shoppers state the sport they buy for, the products they compared, and whether fit, price, or a coach's advice decided it, by segment and market.

Decides:Which sport, fit, or price point the next season leads with.

See marketing decisions →
Decision 04

Price new gear before ordering it

Before the order goes in, shoppers in the target market name a fair price for each new piece of gear and the item it would retire. Sena photographs the wall it will join.

Decides:Which gear the season order carries, at what price, and where it lands first.

See innovation decisions →
How a team checks each store

Every wall figure traces to a photo

Sena ties every figure to the photo or answer behind it, so a team checks each one against the product data for sporting goods it already holds.

A geo-verified photo per store

Each wall, aisle, and price reading carries its photo, location, and date. A wall or aisle placement enters the count only after a photo confirms it.

Shopper answers, checked first

Each sport, fit, or price reason comes from a shopper 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.

PLACEMENT GAP

Count the gaps on walls and aisles

Sporting goods industry analysis of the wall starts with two counts: the SKU placements on the season plan and the placements a photo confirms. Store photos supply the second count, and the gap breaks out by channel, store, and sport.

  • Big-box, specialty, and outdoor stores counted separately
  • Each missing placement tied to its channel and sport
  • What each missing placement costs, at the team's own sales per placement
Placement gap calculatorExample figures
ConfirmedMissing
Missing placements
163
Monthly sales at stake
104,320

The placement gap calculator turns missing wall and aisle placements into monthly sales at stake.

A walkthrough on one category

A walkthrough runs Sena on one category in one market, from wall photo to the season decision.

By team

Which sporting goods team owns the question?

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

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.

TWO WAYS TO READ THE AISLE

How photos change sporting goods industry analysis

AreaCommon methodSena
Wall presenceRetailer reports on walls and fixtures setGeo-verified photos confirm each style and color on the wall
MarkdownsThe season's price planThe price tag in each store, by channel and date
Shopper choiceSell-through by productShoppers name the sport, fit, or price that decided the pick
Line testsSports equipment market reports and buyer instinctWhat shoppers in the target market would pay
AuditingSell-in, season, and markdown reports matched by handEach wall figure opens its store photo or shopper answer

One category, one market, one decision

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

FAQ

Questions sporting goods teams ask

01 What is sporting goods industry analysis?
Sporting goods industry analysis is the practice of reading sales, store, price, and shopper signals across equipment, apparel, and footwear to decide what to make, stock, and price. Sena, a Decision AI with access to real-world data, brings decision intelligence to sporting goods teams by adding geo-verified store photos and consented shopper input to the data a team holds, so each figure traces to the photo or answer behind it.
02 Why do sporting goods industry trends shift by season and city?
Sporting goods industry trends shift by category, season, and market, so a product that leads in one city can trail in the next. Sena captures what shoppers choose and would switch for in the markets a team names, so current trends come from shopper answers and wall photos.
03 What shapes the sporting goods market by category?
The sporting goods market moves category by category, each with its own season and shopper. In the sports equipment market, Sena reads which products hold the aisle and why shoppers choose them, by segment and market. A team then plans each category's season from those answers.
04 How do teams read the fitness equipment market?
Teams read the fitness equipment market through floor displays, price, and what shoppers want at home and in the gym. Sena confirms each display and price tag from geo-verified photos and captures what shoppers would pay, by segment and market.
05 What drives the athletic footwear market in store?
The athletic footwear market turns on fit, price, and the wall display shoppers meet in store. Sena reads the price tags and display presence in geo-verified photos and captures why shoppers choose one shoe over another, from fit and cushioning to price and the sport they run or train for.
06 How does Sena read the sporting goods retail industry?
Sena reads the sporting goods retail industry in the stores a question names: geo-verified photos confirm each wall, aisle placement, and price tag, and shoppers state why they chose a product, by segment and market. A team reads that sporting goods industry analysis beside its own sell-in and sales files.
07 Which systems does Sena connect to for sporting goods teams?
Sena connects to the systems sporting goods teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Store photos and shopper answers join that data, so one answer covers the team's own sales and the wall.