Complete Market Research Guide for Car Rental Companies

For a car rental company, the car is rarely the problem. Most renters drive away in a clean, working vehicle and return it without trouble. What they remember, and what they write about, is everything around the car: the line at the counter, the deposit that was larger than expected, the insurance they were pressed to buy, the fuel charge on the final invoice and the damage claim that arrived a week after they flew home.

That makes research in this business unusually concrete. Renters describe each stage of the rental in their own words, often with the exact amount they were charged and the branch where it happened. Read one by one, these reviews look like a stream of individual complaints. Read together and sorted by stage and cause, they show where the process creates surprises and which of those surprises cost you customers, ratings and repeat business.

This guide shows how an independent or regional car rental company can turn that feedback into real market research about its own business, its competitors and the market it serves.

Key Research Questions

Research starts with the questions it has to answer. For a car rental company, they fall into three groups: questions about your own company and its renters, questions about the other ways renters could get a car or get around, and questions about how expectations in your market are changing.

Your Rental Company

The first questions follow the rental. How do renters describe booking with you, and does the price they see online match the price they pay? What happens at pickup: how long they wait, what they are offered at the counter, how the condition of the car is recorded and how clearly the deposit and insurance are explained? What do they say about the car itself, the drive and any help they needed on the road? And what happens at return and afterwards, when the final invoice, fuel charges and any damage claims arrive?

The second set is about your locations and customers. Do renters describe your airport branch differently from your city branch? Do business travelers, vacationers and people renting for several weeks complain about the same things or about different ones? These questions decide where to put staff, which processes to change first and which customers to build your offer around.

Your Competitors

Your competitors include other rental companies at the same airport or in the same city, from national brands to small local firms, but also peer-to-peer car sharing, ride-hailing, taxis and public transport. What do renters praise in those alternatives that your reviews never mention? What do they complain about that you already do well? Reviews of other rental companies are as public as yours, and renters often compare companies directly, explaining why they switched or why they will book elsewhere next time.

The Car Rental Market

The third group is about demand. What do renters expect about transparent pricing, deposits and insurance? How do they talk about electric and hybrid cars, contactless pickup and app-based check-in? Which kinds of trips are growing among your customers? These questions are hard to answer from booking data alone, because bookings show what renters did, while their reasons sit in what they write.

Sources of Evidence

Evidence about a rental company comes from several places, and none of them has to come first. You can analyze reviews without running a survey, and you can study competitors before you have interviewed a single renter. The strongest research combines what your own renters tell you, what renters write in public about you and your competitors, and what you learn by asking.

Your Own Renter Feedback

Post-rental surveys, emails, calls to your support line, complaints, damage disputes and notes from counter staff are the most direct feedback a rental company has. Disputes are especially useful, because they show exactly where renters disagree with your process and how much each disagreement costs both sides. Collected in one spreadsheet with columns for the date, the branch, the car category, the rental length and the type of customer, they become the start of a customer feedback analysis practice.

Branch and Company Reviews

Trustpilot reviews describe the company as a whole: booking, pricing, deposits, refunds and how disputes were handled. Google reviews describe each branch separately, so an airport location and a city location appear as different places with their own ratings and their own problems. Tripadvisor adds reviews from travelers, who often write about rentals as part of a longer trip. BBB.org complaints tend to focus on billing, deposits and damage claims, and Reddit discussions show how renters compare companies and share advice about avoiding extra charges.

Surveys and Interviews

Traditional methods still have a place. A short survey after return can ask what the renter expected and where the experience matched or missed it. A conversation with a corporate client, or with a renter who disputed a charge, shows how the process looks from the other side of the counter. Counter staff and the people who inspect returned cars are another source, because they see every day where renters get confused. Notes from these conversations are qualitative research, and they need the same structured analysis as reviews to become more than a set of impressions.

Researching Car Rental Companies with Kimola

Kimola is an AI platform that turns customer feedback into enterprise-grade market research. For a car rental company, that means taking reviews of your branches and of the companies you compete with, together with your own surveys and dispute records, and turning them into a structured study of where the rental goes right or wrong, why renters feel surprised and which changes would matter most. The steps below follow the order a researcher would work in, and you can start with a free account, without a credit card.

Building the Dataset

After signing up, go to the Create your report area on the Home screen and paste the link to your company's page on Trustpilot, Google Business or Tripadvisor. With the Add Multiple option you can paste several links, one per line, and Kimola collects the reviews from all of them into a single dataset. A practical first report includes each of your Google Business branches and the branches of three or four competitors at the same locations. Because each Google page is a separate branch, the report can compare airport and city locations directly. The support article on creating a report by adding links walks through each screen.

For BBB.org complaint pages and Reddit threads, Kimola's browser extension, Airset Generator, collects the feedback from a page and sends it to your account as an Airset, which you can turn into a report. Your own feedback can be uploaded as an .xls, .xlsx, .csv or .tsv file. If the file has columns such as branch, car category, rental length, customer type or date, Kimola reads them, and you can filter and compare the results by those values.

By default, Kimola finds the themes in the data itself, which matters in car rental, where a small detail such as how fuel is charged can become one of the most discussed topics.

Choosing Dimensions

Dimensions are the research questions Kimola asks of every piece of feedback. You choose them when you create the report or add them later, and the guide to Dimensions explains each one. For a car rental company, five are especially useful.

Experience Stages places each comment at a moment in the rental: booking, pickup, driving, return and after payment. This is the Dimension that shows where problems actually happen, and in car rental it often shows that the car itself draws far less criticism than the counter and the invoice. Pain Points asks what goes wrong, which in this category typically covers long waits, unexpected fees, deposit holds, pressure to buy extra coverage and disputed damage charges. Underlying Causes asks why it went wrong, and separates a fee that renters object to from a fee that simply was not explained, or a damage claim that was wrong from one that was handled badly.

Personas groups renters by who they are, which in this category usually separates business travelers, vacationers, families, people renting for several weeks and people who need a replacement car. Each group judges the same process differently. Experience Context shows the situation in which the rental happened, such as a late-night arrival at the airport, a one-way rental or a long holiday rental, and explains why the same process feels fine in one case and stressful in another.

Reading the Report

The Overview shows the main themes in the feedback and how sentiment is distributed. Kimola finds those themes in the data itself instead of sorting comments into a fixed list of categories, so a review can be tagged with something as specific as a deposit refund that took weeks or a shuttle bus that did not run at night.

Each review can mention several themes, and each theme gets its own sentiment. A renter who liked the car and the friendly staff but was angry about a refueling charge contributes positive mentions of the car and the staff and a negative mention of fuel charges. A single star rating would hide that the car and the billing are being judged separately.

The Performance screen ranks themes with a Satisfaction Score and a Dissatisfaction Score. These scores account for how many reviews mention a theme as well as the percentage, so a theme backed by five reviews does not outrank one backed by fifty. This protects against the most common mistake in small-scale research, which is changing a process because of a handful of strong opinions.

Signals

Signals are findings that have passed a statistical test. Kimola crosses every theme and Dimension with the columns in your dataset, such as branch, company, platform, star rating or date, and checks whether a topic is discussed more often or more negatively in one group than in the others (Differences) or more often recently than before (Trends). Only significant results become Signals, and they are ranked so the most important ones come first. The explanation of how Signals are tested covers the method in more detail.

For a rental company, the branch column is especially revealing. A Difference might show that complaints about waiting times are concentrated at the airport branch, or that damage disputes appear far more often at one location than at the others. A Trends Signal can show that comments about deposits grew after a policy change, or that praise for pickup speed appeared after a new check-in process. Signals need enough feedback and at least some selected Dimensions. When the data does not contain a pattern strong enough to report, the report shows none, which is an honest result.

Compare

Compare puts segments of a report side by side: different companies, different branches, different platforms, or one-star and five-star reviews. Up to five can be compared at once, without using extra queries. In a report built with Add Multiple, the most valuable use is placing your branch next to the competing branches at the same airport and seeing the volume of feedback, the sentiment, the themes you share and the themes that appear for only one company. If renters keep praising a competitor for a clear deposit policy and your reviews keep mentioning surprise holds on their cards, that is a decision waiting to be made.

Action Plans

Action Plans turn the findings into steps. You start by choosing or creating a Profile that describes your company, its locations and the renters it serves, then select a perspective: Our own offering, A rival or Our market. These match the three groups of questions at the beginning of this guide. A sensible first plan uses Our own offering with the Customer Experience goal, which focuses on pickup, return and billing. Once your report includes other companies, a plan with the Competitive Strategy goal focuses on how to position your company against them.

Kimola builds hypotheses from the report, tests each one against the feedback and drops the actions the evidence does not support. Each remaining action comes with a confidence level and explains why it matters, who it is for, when and where to act, the risk involved and how to see that it worked, along with the evidence behind it. A plan contains up to 12 actions. Plans work best when the report already has Signals, as the support article on how actions are built explains.

From Findings to Decisions

Research is only useful if it changes a decision. For a car rental company the decisions are concrete, and each one connects to a specific part of the report.

Fleet Selection

Fleet decisions are expensive and last for years, so they deserve evidence. Reviews show which car categories renters praise and which ones disappoint, whether families find the cars too small, whether business travelers expect a higher class than they received and how renters describe electric and hybrid cars, including charging. Personas shows which customers each category serves, and Pain Points shows where the car itself, and not the process, is the source of complaints.

Locations and Pickup

Pickup is where most first impressions are made, and it is the stage renters describe in the most detail. Experience Stages and Experience Context show whether complaints concentrate at the counter, at the shuttle or in finding the car, and whether they grow at night or at busy times. A Difference by branch shows which locations need more staff or a different process, and Compare shows how competing branches at the same airport handle the same moment.

Pricing and Fees

Renters rarely complain about the daily rate alone. They complain when the final price differs from the price they booked: fuel charges, cleaning fees, extra driver fees, young driver fees and charges for equipment they thought was included. Underlying Causes shows whether the problem is the fee itself or how and when it was explained, which points either to a pricing change or to clearer communication at booking and pickup.

Insurance and Deposits

Insurance and deposits are where renters most often feel pressured or confused. Pain Points shows how often renters describe pressure to buy coverage at the counter, and Experience Stages shows whether the confusion starts at booking or at pickup. Deposit holds that are larger than expected, or that take weeks to be released, are a frequent source of negative reviews, and Personas shows which renters they affect most, such as people traveling with a debit card.

Returns and Damage Disputes

A damage claim after return can undo an otherwise good rental. Experience Stages separates complaints at the return itself from complaints about charges that arrived later, and Underlying Causes shows whether renters dispute the damage, the price of the repair or the lack of evidence. Clear photos at pickup and return, faster responses and a written explanation of each charge are the kinds of changes this evidence supports. Compare shows how renters describe disputes at other companies.

Ongoing Research

A single report gives you a snapshot, and a rental company changes with every season, fleet update and policy change. Repeating the research after peak season, after opening a new branch or changing a deposit or fuel policy shows whether the change moved the themes it was meant to move. Comparing the same season across years shows whether the rental is getting better for the customers you care about most.

On paid plans, Feeds keep the research running continuously. A Feed collects public mentions from social media, news sites, blogs, forums, YouTube and review sites, based on the keywords and links you define. Alerts email your team when something important happens, and Mailings send a regular summary. Over time, Trends Signals show which topics are rising and which are fading.

Rental Networks and Multi-Location Operators

Rental networks, franchise groups and companies with many locations face the same questions across many branches, regions and brands. On the Enterprise plan, each source of feedback, such as a region, a branch, a support channel or a post-rental survey, can become a Space, a continuously growing source of feedback classified with the same Funnel, which is a shared set of custom models and Dimensions. Because every source is analyzed the same way, results stay comparable over time and between locations. Spaces also calculate an NPS from what renters write, on a scale from -100 to 100. It is derived from the positive and negative share of written feedback, so it is not the same as a Net Promoter Score from a 0 to 10 survey, and NPS targets can be set for each branch or region.

When a finding needs action, Tasks assign it to the right team, such as operations, fleet, billing or customer service, with the underlying feedback attached as evidence, and Tasks can be sent to Jira. After a Task is closed, Kimola measures feedback on the same topic again two and four weeks later, so a change can be checked against what renters say afterwards. Executive summary screens give leadership a single view of what renters are saying across the network. Enterprise accounts are set up together with a dedicated Account Manager, and you can request a demo to discuss your setup.

Frequently Asked Questions

A few practical questions come up when a car rental company starts researching with customer feedback for the first time.

Should airport and city branches be analyzed separately?

They can be analyzed in the same report and compared, because each Google Business page is a separate branch. Airport and city locations often serve different renters in different situations, so comparing them with Compare and a branch column usually shows differences that a combined rating hides.

Can a small rental company with few reviews use this approach?

Yes. Even with few reviews of your own, competing companies at the same airport or in the same city often have hundreds or thousands of reviews. Those datasets show what renters in your market value and where they are disappointed.

How many reviews do I need before the findings mean anything?

There is no fixed threshold, and the ranking on the Performance screen is designed to protect you from small samples by weighing how many reviews support each theme. Adding a few competing branches to the same report is the easiest way to reach a dataset large enough for Signals.

Getting Started

Your renters, and the renters of every company at the same counter row, have already written down much of what you need to know about what makes a rental feel fair. Create a free Kimola account, add your branches and a few competitors to a single report, and see at which stage of the rental renters talk about problems. The market research guides for travel agencies and hotels apply the same approach to neighboring fields, and the market research guide for small businesses covers the method for any industry.