--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Spots – restaurant wishlist" developer_entity: "Bram Bollen" bundle_id: "be.studioplanb.spots" app_store_id: "6799528020" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-09-08" report_date: "2026-09-11" last_verified: "2026-09-11T00:00:00.000Z" report_version: "1.4.1" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 65 momentum_velocity: "steady" intelligence_version: 2 tags: ["food & drink", "freemium", "mobile app", "app review", "app analysis", "enthusiasts", "organize", "dining"] canonical_url: "https://marlvel.ai/apps/spots-restaurant-wishlist" license: "CC-BY-NC 4.0" content_version: "v2" --- # Spots – restaurant wishlist Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Freemium > **TL;DR:** Spots – restaurant wishlist is a food & drink app by Bram Bollen, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Spots – restaurant wishlist is a food & drink app by Bram Bollen. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | Bram Bollen | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 65d | ## Metadata & Market Performance - **Publisher:** Bram Bollen - **Category:** Food & Drink - **Target Audience:** Food enthusiasts who want to organize dining experiences and discover new restaurants based on personal preferences. - **Platforms:** iOS - **Version Reviewed:** 1.4.1 - **Report Date:** 2026-09-11 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6799528020 - **Bundle ID:** be.studioplanb.spots - **Data Window:** Analysis based on signals collected up to 2026-09-11 ## Executive Snapshot **What it is:** Spots is a restaurant wishlist and discovery app for iOS that organizes dining collections through map-based visualization and automated social-media enrichment. **Why users hire it:** The app removes the cognitive load of managing fragmented restaurant recommendations by centralizing them into a searchable, map-ready database that displaces manual note-taking. ## App DNA (Features & Intent) - **[Differentiator] Instagram Share Integration:** Parses Instagram profile links to automatically populate restaurant name, location, photos, and hours. Premium-tier gate ($2.99/month) — automatic enrichment reduces manual entry friction, driving conversion for power users. * *User Intent:* Users seek social connection and competitive engagement with peers. - **[Differentiator] Spots Assistant:** Natural language query interface for collection filtering and restaurant discovery using Google Search data. Premium-tier gate ($2.99/month) — provides high-utility decision support to justify subscription cost. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Restaurant Wishlist & Tasted List:** Categorizes saved locations into binary states of visited or planned, visualized on a map. Retention lever — creates a personal database of dining history, increasing the cost of switching to a different app. ## Market Position {#market-position} Spots occupies a niche in the Food & Drink category by focusing on personal curation rather than public reviews. The $2.99 monthly price point requires consistent feature delivery to maintain retention against free, platform-native list alternatives. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with limited features, Premium tier at $2.99/month or $22.99/year - **Analysis:** Freemium model with a 30-day free trial, gating automation and assistant features behind a monthly or annual subscription. ## SWOT Analysis {#swot} **Core Strengths:** - Instagram-to-Spots enrichment reduces user friction - Map-based visualization provides immediate utility for dining discovery **Growth Levers:** - Localized social-sharing templates could drive organic acquisition in high-density dining markets ## What's New - **Latest (v1.4.1, 2 days ago):** Introduced a redesigned welcome screen with Apple and Google SSO, plus swipe-to-delete and swipe-to-edit gestures for list items. ## App Momentum (Steady) {#momentum} - Shipped redesigned welcome screen. - Integrated Apple and Google SSO. - Added swipe-to-delete and edit gestures. > **Cadence:** 2 total versions · 1 majors in last 6 months · 2 days since last update · 22 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Spots – restaurant wishlist is a food & drink app that is free with in-app purchases. > **Bottom Line:** Spots must demonstrate that its curation workflow provides higher utility than native map-based lists to justify the subscription, as the barrier to entry for free alternatives remains the primary churn risk. **Best for:** Food enthusiasts who want to organize dining experiences and discover new restaurants based on personal preferences. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Pivot the onboarding flow to highlight the Instagram-import feature because it is the primary differentiator → increase trial-to-paid conversion ### Outlook: Stable The market for personal dining tools is currently consolidating around apps that offer the lowest friction for data entry. Spots is well-positioned if it continues to automate the collection process, but it remains exposed to platform-level competition from Google and Apple. - 🟢 The latest release (v1.4.1) shows active feature investment in onboarding, which reduces the friction for new users to start their first collection. - ⚪ The current subscription pricing sits at the higher end of the utility-app spectrum, requiring consistent, high-value feature updates to retain subscribers long-term. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Spots – restaurant wishlist** (this app) | N/A/5 | N/A | Bram Bollen | | [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow | | [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. | | [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet | ## Company Profile - **Developer:** Bram Bollen - **Website:** [https://resto.studioplanb.be](https://resto.studioplanb.be) ## Data Sources & Links - **App Store ID:** 6799528020 - **Dev Site:** [Official Website](https://resto.studioplanb.be) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating - [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating - [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating - [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.6/5 Rating - [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating - [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating - [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating ## Frequently Asked Questions {#faq} ### Is Spots worth paying for if I only dine out occasionally? The free tier allows for basic list management, while the Premium tier is designed for power users who need automated Instagram imports and the AI-powered assistant to manage larger collections. ### How does Spots compare to Google Maps lists? Google Maps provides free, integrated list management, whereas Spots focuses on personal curation, automated Instagram enrichment, and a natural language assistant for discovery. ### What happens to my data if I stop paying for Premium? The app description states that your collection is yours and stays yours, though specific feature access for Premium-gated items may be restricted. ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, company about page, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 65 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/spots-restaurant-wishlist) Data licensed for AI Agent attribution under CC-BY-NC 4.0.