FROOGLE PROJECT KICKOFF — COMPLETED ANSWERS
Filled in from website research. Bold = Confirmed. [?] = Not found publicly. [!] = Information gap.
PROJECT GOALS & PURPOSE
“What are we doing and why?”
✓ What is the main objective of this project?
Build a mobile marketplace that connects consumers with location-based local deals at restaurants, bars, and retail businesses. Two-sided model: consumers get free access to deals, businesses get a customer acquisition & foot traffic tool.
[?] Why are we doing this now - what triggered this initiative?
Market gap exists: paper coupons are outdated. Smartphones enable real-time location-based offers. Consumer pain: hard to find deals. Merchant pain: need better foot traffic tools. Specific trigger/founding story not disclosed publicly.
✓ What does success look like, and how will we measure it (KPIs)?
CONFIRMED METRICS:
- App downloads & daily active users
- Redemptions per user (testimonial: “200+ uses already”)
- Merchant ROI (testimonial: “5x ROI in first month, sales went up”)
- Foot traffic attribution
- Redemption rate vs. paper coupons (testimonial: “far more people use Froogle”)
[!] MISSING: Specific numerical targets, growth rate benchmarks, churn targets
[?] What is the broader business strategy behind this product?
Two-sided marketplace model. Revenue from merchant onboarding fees + beer brand sponsorships. Scale strategy: geographic expansion (“Froogle is expanding”). Retention: build habit loop (consumers save money, merchants see ROI). Long-term vision & roadmap not public.
USERS & PAIN POINTS
“Who are we designing for?”
✓ Who is the end user or customer?
PRIMARY (Consumers):
- Deal seekers & budget-conscious individuals
- Mobile-first, location-enabled users
- Active in dining, retail, entertainment
- Testimonials suggest age range: “Troy,” “Corey,” “Jim,” “Jerry,” “Trish,” “Tammy,” “Brandon”
SECONDARY (Merchants):
- Restaurants & bars (primary)
- Retail shops, pizza companies, golf courses
- Small-to-mid size establishments
- Owner/operators actively managing offers
✓ What primary problem or pain point does this solve for them?
FOR CONSUMERS:
- Discovery: “I was getting gas and Froogle popped up” (serendipitous local deal finding)
- Convenience: Paper coupons are inconvenient & cluttered
- Economics: “Saved me so much money,” “Free beer deals”
- Friction: “Easy to redeem”
FOR MERCHANTS:
- Customer acquisition: “Great tool to attract customers”
- Foot traffic: Measurable ROI (“sales went up, more people know about us”)
- Marketing efficiency: Better than paper coupons (“far more redemptions”)
✓ Do we have direct access to users for ongoing research and testing?
YES. Active user base with real testimonials. Merchant partnerships confirmed (test store: ZBG/Angenos). Formal research process/cadence not disclosed on public site.
[!] What do we already know about our users - and what data is missing?
WHAT WE KNOW:
- Location behavior (GPS/Bluetooth data)
- Redemption patterns (which deals, frequency)
- Merchant impact (sales uplift data exists)
MISSING:
- User demographics (age, income, location, profession)
- Download motivations
- Churn/retention rates
- Geographic distribution of user base
- Average savings per user
- Install-to-redemption conversion rate
- Lifetime value calculations
COMPETITORS & CONTEXT
“What’s the landscape?”
✓ Who are our main competitors?
CONFIRMED:
- Paper coupons (legacy solution, being displaced)
IMPLIED BUT NOT DETAILED:
- Yelp (local business + deals)
- Groupon (digital deals)
- Other local coupon apps
- Google Maps local offers
- Regional loyalty programs
- Merchant-owned apps
✓ How do others solve this same problem - and where do they fall short?
PAPER COUPONS: Inconvenient, low reach, poor redemption tracking, manual distribution. Froogle testimonial: “far more people use Froogle than our old paper coupons”
DIGITAL COMPETITORS: Likely lack real-time location triggering, may require active searching instead of passive notifications, feature clutter. Detailed feature comparison not public.
✓ Are there previous attempts or past research we can learn from?
CONFIRMED:
- Merchants transitioned from paper coupons to Froogle
- Test store feedback loop (“we were the test store… took off fast”)
- Iterative improvements based on feedback
MISSING: Market research reports, historical competitive analysis, case studies of prior digital coupon attempts
(Empty sticky — no 4th question)
LOGISTICS, CONSTRAINTS & SCOPE
“What are our guardrails?”
[!] What is the timeline and final deadline?
[NOT DISCLOSED]
- App is live & actively growing (as of 2026)
- Marked as “expanding” (geographic growth underway)
- No public launch date, sprint deadlines, or roadmap
- This is internal planning information
[!] What is the budget or resource allocation?
[NOT DISCLOSED]
- No financial data public
- Clues suggesting investment:
- Multi-platform development (iOS + Android)
- Beer brand sponsorships (Kona, Blue Moon, Coors, Corona, Michelob Ultra)
- Ongoing feature development (notifications, business dashboard, online ordering)
- Geographic expansion underway
CONFIRMED CONSTRAINTS:
- Requires location services (GPS) enabled on phones
- Requires Bluetooth enabled (for proximity detection)
- Native mobile only (iOS/Android apps, not web-first)
- Brand constraint: Privacy-first (“We DO NOT sell or give any information”)
MISSING:
- API rate limits or dependencies
- Server scale constraints (max concurrent users, locations)
- Regional/legal constraints (CCPA, GDPR, regional licensing)
- Platform-specific limitations
[!] Who are the key decision-makers for design approvals?
[NOT DISCLOSED]
- Contact points: info@froogleapp.com, 612-920-5433
- Organizational structure not public
- Assumed but unconfirmed: CEO/founder, product lead, design lead
- Approval process & decision-makers internal only
CONFIDENCE MATRIX
| Question |
Confidence |
Source |
| Q1: Objective |
95% |
Live product, clear positioning |
| Q2: Trigger |
40% |
Inferred from gap, not explicit |
| Q3: KPIs |
80% |
Testimonials show metrics, targets missing |
| Q4: Strategy |
70% |
Model clear, roadmap vague |
| Q5: Users |
85% |
Testimonials + public segments |
| Q6: Pain points |
90% |
Explicit in testimonials |
| Q7: User access |
85% |
Active testimonials shown |
| Q8: User data |
50% |
Some known, large gaps |
| Q9: Competitors |
60% |
Paper confirmed, others inferred |
| Q10: Competitive gaps |
55% |
Some evidence, details thin |
| Q11: Prior work |
65% |
Migration story confirmed |
| Q13: Timeline |
5% |
Not public |
| Q14: Budget |
10% |
No data, context clues only |
| Q15: Constraints |
75% |
Technical confirmed, gaps remain |
| Q16: Decision makers |
5% |
Not public |
SUMMARY: WHAT’S KNOWN vs. MISSING
- Product value prop for both segments
- Core features (location-based notifications, coupon management, business dashboard)
- Revenue model (merchant fees + sponsors)
- Proof of concept (ROI testimonials, user adoption)
[!] REQUIRES INTERNAL DISCOVERY
- Pricing structure (how much do merchants pay?)
- Financial targets (revenue, margins, growth)
- Team structure & capabilities
- Roadmap & next features
- Market size & addressable market
- Geographic scope (US only? International plans?)
- Detailed competitive positioning
- User retention & churn data
[?] COULD USE RESEARCH
- User demographic deep-dive (who actually uses this?)
- Merchant pain points (beyond “need traffic”)
- Why users churn or uninstall
- Seasonal patterns in deal usage
- Geographic variations in demand