Market Research

Sports Betting Habits, Spend, and Promotions Survey

Measures how adults engage with sports betting apps: which platforms they use, how often and how much they wager, how promotions shape behavior, and how aware they are of problem-gambling warning signs. An AI follow-up digs into the 'why' behind spending patterns and promo influence that closed questions can't fully capture. For market researchers and responsible-gambling teams.

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샘플 질문

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질문 14개 · 약 7분

Q01

메시지

Thanks for taking part! This survey is for adults (18+) and asks about your sports betting activity, spending, and views on promotions. It takes about 5-6 minutes, and your answers are confidential. There's no judgment here — honest answers help us most.

Q02

동의필수

Before we start, please confirm the following.

Q03

객관식필수

Which sports betting apps or platforms have you used in the last 12 months?

DraftKings
FanDuel
BetMGM
Caesars Sportsbook
ESPN Bet
(Template note: replace or add operators licensed in your market)

Q04

객관식필수

In the last 30 days, how often did you place a sports bet?

Not at all
1-2 times total
About once a week
Several times a week
Daily or almost daily

Q05

숫자필수

Approximately how much money (in USD) did you spend on sports betting in the last 30 days, including amounts you won and re-wagered?

Q06

객관식

Which types of bets have you placed in the last 30 days?

Straight bet / moneyline
Point spread
Parlay / accumulator
In-play / live betting
Prop bets
Daily fantasy sports contests

Q07

매트릭스필수

How much do you agree with the following statements about betting promotions?

4개 행 × 5개 열

Promotional offers make me bet more than I originally planned.
I understand the terms and conditions of the promotions I use.
Free bet or bonus offers influence which app I choose.
I keep close track of how much promotional credit I've used.

열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree

Q08

객관식

Which types of promotions have you used in the last 30 days?

Sign-up / welcome bonus
Deposit match bonus
Free bet or bonus bet
Odds boost
Referral bonus
None of these

Q09

의견 척도필수

How familiar are you with the warning signs of problem gambling?

척도: 1 – 5

최소:Not familiar at all최대:Extremely familiar

Q10

객관식

In the last 12 months, have you tried to cut back on sports betting but found it difficult?

Never tried to cut back
Tried and succeeded easily
Tried and found it somewhat difficult
Tried and found it very difficult
Prefer not to say

Q11

AI 인터뷰

Explore the reasoning behind this respondent's spend and betting frequency: ask what typically triggers a betting session (a game they're watching, a promo notification, boredom, socializing), and whether their actual spend last month matched what they intended to spend. If they said promotions influence which app they use, probe a specific recent example of a promo they used and whether it changed how much or how often they bet. If they indicated they tried to cut back and found it difficult, gently ask what made it hard and whether they've looked into any support resources — do not diagnose or lecture, just listen and note details.

Q12

객관식

Which age range are you in?

18-24
25-34
35-44
45-54
55-64
65+
Prefer not to say

Q13

객관식

How do you describe your gender?

Male
Female
Non-binary
Prefer to self-describe
Prefer not to say

Q14

메시지

Thank you for your honesty — this helps us understand real betting habits and where support might be needed. Your responses will be aggregated with others for research and won't be linked back to you individually. If betting has ever felt hard to control, free confidential help is available 24/7 from the National Council on Problem Gambling: call or text 1-800-522-4700, or visit ncpgambling.org.

포함된 기능

AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

이 템플릿을 선택하는 이유

이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.

차별화 포인트

Combines closed-ended tracking (platforms used, frequency, spend, bet types, promo usage) with an adaptive AI follow-up that probes the 'why' behind spend and betting frequency — something static multiple-choice/matrix questions can't do on their own
Includes a dedicated problem-gambling awareness question and a question about failed attempts to cut back, aligning the template to responsible-gambling research needs, not just marketing analytics
Built-in consent step and closing debrief message support ethical handling of a sensitive-behavior (gambling/spend) survey
Automated per-response quality scoring and auto-generated reporting mean the wagering/promo data and the AI-probed qualitative context can be analyzed without manual transcript review

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