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Sena shows what wins the car buyer

Sena Decision AI shows automotive marketing and product teams why buyers pick a model or a rival, and which features they pay for. Every figure traces to a buyer answer, a dated photo, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample automotive
Rival model shortlisted most
Rival A
On 41% of shortlists
Features buyers would pay for
Safety
34% would pay more for it
EV buyers ready by market
31%
Ready in the lead market
Revenue at stake
29.1M
803 buyers lean to a rival
every figure opens a buyer answer or a dated photo
BEFORE THE SHOWROOM

The buyer decides before the showroom

Automotive data analytics reads sales, registrations, and lead data by model and region. Buyers settle the shortlist before the showroom, and they hold the reason.

Shortlists form before the test drive

Lead data shows which models a buyer asked about. The shortlist, and the rival model on it, forms earlier.

Sena:Sena captures consented input on why buyers shortlist a model, which rivals they compared, and what would make them switch.

Trim plans follow last year's sales

Trim and option plans start from past sales. Buyers in each segment weigh features and price differently this year.

Sena:Sena captures the features each buyer segment would pay more for, and the trim it would pick.

Charging access shapes the EV choice

Sales data shows EV take-up by region. Buyers weigh charging near home and work before they choose.

Sena:Sena captures whether buyers would choose an EV next, and which charging and price barriers stand in the way.

The decisions

Four automotive data analytics decisions

Sena adds the buyer's reason to these four decisions.

Decision 01

Win buyers from the rival model

Buyers state which models they shortlisted, what decided it, and what would make them switch, by segment and market.

Decides:Which price, feature, or message wins the buyer the rival holds.

See marketing decisions →
Decision 02

Price the trims and features buyers value

Buyers state which features they value, which they would pay more for, and which trim they would choose, by segment.

Decides:Which features lead each trim, and at what price.

See product decisions →
Decision 03

Launch EVs where buyers are ready

Buyers state whether they would choose an EV next, what charging they can reach at home and work, and what price would decide it. Dated photos show the public chargers in the areas a question names.

Decides:Which markets get the EV launch first, and which barrier the campaign answers.

See growth decisions →
Decision 04

Test the next model concept before the program locks

Buyers in the target segment state what they would pay for a concept, which body style and powertrain they prefer, and which car it would replace.

Decides:Which concept moves forward, and in which markets first.

See innovation decisions →
HOW A TEAM CHECKS EACH ANSWER

Each buyer figure traces to its answer

Sena ties every figure to the photo or answer behind it, so a team checks it against its own automotive data analysis.

A geo-verified photo per charging area

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

Consented input, checked before it counts

Each reason comes from a buyer 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.

RIVAL MODEL GAP

Count the buyers a rival can win

Auto dealership analytics shows the leads that reached a showroom. The rival question starts earlier, with two figures the team enters: the buyers who shortlisted the model this quarter and the share who name a rival as their likely pick, checked against buyer answers by segment and market.

  • The rival each segment names, and the feature or price behind it
  • The share leaning to a rival, segment by segment
  • Revenue at stake, from the team's own average transaction price
Rival model gap calculatorExample figures
StayingAt risk
Buyers a rival can win
803
Revenue at stake
29,068,600

The rival model calculator shows the buyers a rival can win and the revenue at stake.

A walkthrough on one model segment

A walkthrough runs Sena on one model segment in one market, from buyer answer to the pricing or campaign decision.

By team

Which automotive 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 BUYER

Buyer answers beside automotive data analytics

AreaCommon methodSena
Rival modelsAutomotive industry analysis of share by segmentBuyers state why they shortlisted or picked a rival
Feature pricingAutomotive data solutions built on past trim salesWhat buyers value and would pay for
Showroom leadsAuto dealership analytics on walk-ins and test drivesWhy buyers shortlisted the model before they arrived
EV readinessEV take-up by region from registrationsBuyers' EV intent and the charging they can reach
AuditingLead, registration, and campaign reports matched by handEach buyer figure ties to its answer or photo

One model segment, one market, one decision

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

FAQ

Questions automotive teams ask

01 What is automotive data analytics?
Automotive data analytics is the practice of reading sales, lead, dealer, and buyer data to decide what to build, how to price it, and where to sell it. Sena, a Decision AI with access to real-world data, brings decision intelligence to automotive teams by adding consented buyer input and geo-verified photos to the data a team holds, so each figure traces to the answer or photo behind it.
02 What do automotive data analytics services cover?
Automotive data analytics services read sales, registration, lead, and service data to show what sold, where, and to whom. Automotive data solutions read that data by model and region, and Sena adds the buyer's side: why buyers shortlist a model, pick a trim, or switch.
03 How is data analytics in the automotive industry used?
Data analytics in the automotive industry shapes product plans, pricing, launch marketing, and EV programs. An automotive industry analysis shows share and trend by segment, and Sena adds the reason behind each choice from buyers' own answers, by segment and market.
04 What is predictive analytics in the automotive industry?
Predictive analytics in the automotive industry uses past sales, registrations, and market signals to estimate future demand by model and region. Sales history carries the trend, and buyer answers carry the cause. Sena adds buyers' stated reasons to shortlist, choose, or switch, so a team sees why demand moved.
05 How does car dealership analytics connect to model marketing?
Car dealership analytics shows walk-ins, test drives, and conversion at each showroom. Marketing and product teams also need what happened before the showroom: why buyers shortlisted the model, which rival they compared, and what would win them. Sena captures those answers by segment and market, so car dealership analytics and campaign plans read from the same buyer segments.
06 What automotive consumer data does Sena capture?
Sena captures consented automotive consumer data by segment and market: which models buyers shortlist, what decided their choice, which features they value, and what would make them switch. Each answer comes from a buyer who chose to share it, and every capture clears a multi-level QA flow.
07 Which systems does Sena connect to for automotive teams?
Sena connects to the systems automotive teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Buyer answers and dated photos join that data, so automotive data analysis covers the team's own sales and the reasons buyers give.