Business Intelligence & Growth
Market research services for small businesses making big decisions
Market research services for small business answer the questions behind your biggest bets: who your best customers are, what they'll pay, who you really compete with, and whether a new product, service, or location can work. NextGen Code runs this research for small and mid-sized companies that need answers in weeks, not quarters, and can't afford a wrong guess.
This is for you if…
- You're about to launch a product, open a location, or enter a new market, and the case rests on gut feel.
- A competitor is winning deals you used to win, and you're not sure why.
- You haven't raised prices in years because you don't know what customers will accept.
- Your picture of the customer comes from anecdotes, not from what customers say in reviews, calls, and interviews.
- A lender, investor, or partner asked for your market size, and you need a number you can defend.
- You want to track competitors' prices, offers, and hiring without someone checking their websites by hand.
Overview
Competitor teardowns, market sizing, and customer research, sped up with AI and checked by people.
AI changes the speed, not the standard. We use ChatGPT, Claude, Perplexity, and Gemini to gather sources, summarize thousands of reviews and comments, and draft survey and interview guides in days instead of weeks. Then we check every number against its source, talk to real customers, and apply the judgment about your business that no model has.
Be wary of anyone selling AI research as a substitute for customers. Language models can invent sources, over-weight whatever is loudest online, and simulate survey respondents who sound plausible but aren't your buyers. Our rule is simple: AI speeds up the synthesis, and every claim in your report links to a source you can check.
What you get
Deliverables, not decks.
- 01
Competitor teardowns
A side-by-side breakdown of your main competitors: offers, pricing, positioning, reviews, search and ad visibility, hiring signals, and their public buying experience from first click to checkout or quote form.
- 02
Market sizing (TAM, SAM, SOM)
Your total addressable, serviceable, and obtainable market, built bottom-up from customer counts and prices where possible and cross-checked top-down, with every source and assumption shown.
- 03
Customer research
Surveys, interviews with customers and lost prospects, and AI-assisted mining of reviews, support tickets, and social comments, coded into themes with the real quotes behind each one.
- 04
Pricing research
Competitor price mapping plus willingness-to-pay research: Van Westendorp or Gabor-Granger surveys, which test how buyers react to specific prices, or controlled price tests. It ends with a recommended price structure.
- 05
Location and expansion analysis
Demographics, competitor density, drive-time trade areas (how far customers will realistically travel), and demand signals for each candidate market, using Census data and, for Texas markets, the Comptroller's sales tax data by industry and city.
- 06
Win/loss analysis and competitive monitoring
Interviews and CRM analysis on why deals are won or lost, plus an AI-assisted monthly brief on changes to competitors' pricing, websites, reviews, ads, and hiring.
How it works
A clear process, start to finish.
- 01Week 1
Frame the decision
We start from the decision you need to make, list what you already know, and agree on the few questions whose answers would change your mind. Research without a decision attached is trivia.
- 02Weeks 1–2
Desk research and data pull
We gather public data, including Census and industry sources, competitor websites, reviews, ad libraries, and search demand, plus your own CRM, sales, and support data. AI sorts and summarizes it quickly.
- 03Weeks 2–4
Talk to real customers
We run surveys and interviews with your customers, lost prospects, and target buyers. AI transcribes and helps code the conversations; people design, conduct, and interpret them.
- 04Weeks 4–6
Synthesis and recommendation
You get a readout that leads with the answer, states a confidence level for each finding, and links every claim to its source, along with the decision we would make in your position.
- 05Monthly, optional
Ongoing competitive monitoring
We track competitor pricing, messaging, reviews, ads, and job postings, and send a short monthly brief on what changed and whether it matters.
What we measure
The numbers this moves.
We baseline these before we start and report against them after launch.
Time to a defensible answer
Weeks from kickoff to a sourced recommendation. AI-assisted synthesis targets weeks instead of months, without skipping the primary research.
Win rate against named competitors
Win/loss work targets a higher close rate in head-to-head deals, measured in your CRM against the baseline.
Price realization
When research leads to a price change, we track average price, close rate, and churn before and after, so you can see whether the market accepted it.
Results against the plan
When research supports a launch or a new location, we compare actual results with the assumptions behind the decision, so the next bet starts from evidence.
In practice
What this looks like in a real business.
Choosing a third location
Example: a Lubbock dental group compares Midland, Amarillo, and Abilene on population growth, household income, competitor density, and drive times, using Census Business Builder and Texas Demographic Center projections, before signing a lease.
Competitor teardown before a website rebuild
Example: a roofing contractor maps how eight local competitors quote, follow up, and handle reviews, and finds that none offers online booking for inspections. That gap becomes the centerpiece of its new site.
Review mining at scale
Example: a kitchenware brand has AI cluster 3,000 reviews of its own products and its top competitors' into themes, then verifies each theme by reading samples. Packaging and sizing complaints, not product quality, turn out to drive most low ratings.
Pricing a premium tier
Example: an IT services firm surveys 150 customers and prospects with a Van Westendorp price-sensitivity question set, then interviews 10 of them before setting the price of a new premium support tier.
Sizing a niche B2B market
Example: a software startup selling to Texas HVAC contractors sizes its market bottom-up from Census County Business Patterns establishment counts, typical crew sizes, and its price per technician, then checks the result against competitors' revenue signals.
A monthly competitor brief
Example: a franchise owner gets a monthly brief built from competitors' websites, Google reviews, ad libraries, and job postings, flagging a new promotion, a price change, and a rival hiring for a new location.
Tools & platforms we work with
- ChatGPT
- Claude
- Perplexity
- Gemini
- Semrush
- Similarweb
- Google Trends
- Census Business Builder
- Placer.ai
- Esri ArcGIS Business Analyst
- Typeform
- SurveyMonkey
- Dovetail
We're vendor-neutral: we recommend what fits your stack, budget and risk profile — not what pays us a referral fee.
Next step
Let's talk about Market Research.
Bring a problem or a goal. In 30 minutes we'll tell you what's realistic, what it would take, and where AI fits — even if the answer is to start smaller.
FAQ
Market Research: common questions
Still have a question? Ask us directly.
How much do market research services cost for a small business?
Cost depends on how many questions you need answered, how many markets or competitors are in scope, and above all how much primary research is involved. Desk research and AI-assisted synthesis are relatively efficient, while recruiting and paying people for interviews and surveys, or licensing paid data such as foot traffic or industry reports, adds the most cost. Ongoing monitoring is a smaller recurring scope. We quote after a free consultation, once we know the decision the research has to support.
Can AI do market research on its own?
No, but it makes good research much faster. AI is excellent at finding and summarizing material, clustering thousands of reviews, transcribing and coding interviews, and drafting survey questions. It's unreliable at quoting sources accurately, knowing what changed recently, and representing customers who don't post online, and synthetic respondents are no substitute for real buyers. We use AI for speed and people for judgment, and we cite every source so you can check our work.
How long does a market research project take?
Typical projects take 2–6 weeks. A competitor teardown or a desk-based market size can be ready in 1–2 weeks, while projects with surveys and interviews usually take 4–6 weeks. Recruiting the right people sets the pace, especially for hard-to-reach B2B buyers. If you have a deadline, such as a lease decision or a lender meeting, tell us up front and we'll design the research to fit it.
What do you need from us?
We need the decision you're facing and its deadline, the competitors you already watch, and any past research. For customer research, we need a customer list we're allowed to contact, plus CRM, sales, or support data that shows who buys and why. Expect about 2 hours of leadership time across the project: a kickoff, a check-in, and the readout. We handle survey design, recruiting, interviews, and analysis.
Is competitive intelligence legal and ethical?
Yes, when it relies on public information and honest methods, which is the only way we work. We use competitors' websites, published prices, reviews, public filings, job postings, the Meta Ad Library, and Google's Ads Transparency Center. We don't misrepresent who we are to get confidential information, access anything behind a login we're not entitled to, or ask anyone to share a former employer's secrets. This isn't legal advice, but those are the lines we hold.
How is this different from buying an industry report?
An industry report describes a market, and our research answers your decision. Reports from publishers like IBISWorld or Statista can be useful inputs, and we'll use them when they're worth the cost. But they're broad, can lag the market, and say nothing about your customers or your local competitors. We combine published data with Census and state data, your own sales numbers, and conversations with your buyers.
Can you monitor competitors on an ongoing basis?
Yes. We set up AI-assisted monitoring of your competitors' websites, pricing pages, reviews, ad libraries, and job postings, and a person reviews what it finds before anything reaches you. You get a short monthly brief on what changed, why it might matter, and whether we'd respond. Big moves, like a new location, a price cut, or a major promotion, trigger an alert right away instead of waiting for the brief.
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