## STEP 1: AUDIENCE STRATEGY SUMMARY 1. Audience Readiness Score - Customer Clarity: 8/10 (Strong understanding of pain points and buying journey). - First-Party Data Availability: 9/10 (Excellent volume of active, churned, and lead data; CRM captures specific preferences). - Audience Signal Diversity: 7/10 (Good potential for custom segments, though broad affinities have failed). - Exclusion & Filtering Discipline: 8/10 (Clear parameters on age, geo, and existing customers). - Testing Infrastructure: 8/10 (Consent Mode v2 active, giving good foundation for conversion modeling). **Composite Score: 8.0 / 10** **Verdict:** RitualRoast has mature first-party assets and a sharply defined customer; the focus must shift from broad prospecting to highly intent-driven custom segments and sophisticated first-party data suppression to drive efficiency. 2. Top 3 Priority Audience Segments to Test First - **High:** Custom Segment (Competitor URLs & Search Terms). *Rationale:* Reaching users actively researching Trade, Atlas, or Blue Bottle intercepts high-intent buyers in the 2-6 week evaluation window. - **High:** In-Market for "Espresso & Coffee Makers". *Rationale:* Purchasing new equipment is a stated trigger event; these users immediately need fresh beans to justify their hardware investment. - **Medium:** Newsletter Non-Purchasers (1P Data). *Rationale:* You have 45k newsletter subscribers; filtering out the 8.4k active and 22k churned leaves a warm list of \~14.6k users who are brand-aware but haven't converted. 3. Top 3 Expansion Opportunities to Explore - **Medium:** Churned Subscriber Win-Back. *Rationale:* 22k churned users is a massive asset. Create a specific campaign targeting churned users \>90 days out with a "welcome back" or "new roast" offer. - **Medium:** "Gifting" Custom Segments (Seasonal). *Rationale:* Leveraging December/January spikes by targeting users searching for "coffee gift subscriptions" or "gifts for coffee snobs." - **Low:** Detailed Demographics: Homeowners. *Rationale:* Higher HHI and stability often correlate with long-term subscription retention, filtering out transient buyers. 4. Critical Flags - **Age Filtering Constraint:** Google Ads demographic age buckets are 18-24 and 25-34. Because you want to exclude under 28, you must exclude 18-24 entirely, but you cannot perfectly exclude 25-27. You will need to keep 25-34 active but monitor performance closely or apply negative bid modifiers. - **Similar Audiences Deprecation:** Google has sunset traditional "Similar Audiences." We must activate your 1P data as "Audience Signals" in Performance Max or via "Optimized Targeting" in Search/Demand Gen to achieve the lookalike effect. ## STEP 2: CUSTOMER AVATAR DEEP DIVE 1. **Primary Avatar: The Quality Upgrader (Female, 30-55)** - *Identity:* A busy professional or household manager who views their morning coffee as a daily ritual, not just caffeine. - *3 Core Motivations:* Maximum freshness (taste), ethical sourcing transparency, and "set-it-and-forget-it" convenience. - *3 Primary Objections:* "Will I get too much/too little coffee?", "Is it really fresher than the premium grocery brands?", "Is the subscription hard to cancel?" - *3 Trusted Info Sources:* Specialty coffee influencers (Instagram/YouTube), review aggregators (Wirecutter, Reddit r/coffee), and lifestyle blogs. 2. **Secondary Avatar: The Equipment Enthusiast (Male/Female, 30-55)** - *Identity:* Recently invested in a prosumer espresso machine or pour-over setup and needs beans that match the hardware. - *3 Core Motivations:* Dialing in the perfect shot/cup, exploring single-origin flavor profiles, supporting direct-trade farmers. - *3 Primary Objections:* "Are the roast dates guaranteed?", "Do they offer light/espresso specific roasts?", "Are these blends or single origins?" - *3 Trusted Info Sources:* YouTube hardware reviewers (e.g., James Hoffmann, Lance Hedrick), Home-Barista forums, specialty coffee publications. 3. **Buying Journey Map** - *Trigger Event:* Buys/receives new coffee gear, OR opens a bag of grocery beans and notices the stale smell. (Day 1) - *Problem-aware:* Realizes commercial coffee sits on shelves for months. Starts Googling "why does my coffee taste bitter." (Days 1-7) - *Solution-aware:* Discovers specialty roasters ship on roast date. Compares subscription vs. buying local. (Days 7-21) - *Brand-aware:* Compares RitualRoast against Trade, Atlas, and Blue Bottle. Reads reviews on shipping reliability. (Days 21-42) - *Purchase:* Subscribes, usually opting for the most flexible tier first to test the waters. 4. **Decision Maker vs Influencer** - *B2C Context:* The female head-of-household is often both the decision maker and the primary consumer, though the trigger event (new equipment) might be initiated by a partner. Targeting should speak to household convenience and quality without alienating either gender, but lean into the $75k+ HHI lifestyle imagery. 5. **What NOT to assume** - Do not assume they want the cheapest coffee; highlighting "$1 a cup" attracts churn-heavy bargain hunters. Focus on *value of freshness*. - Do not assume "Foodies" translates to coffee snobs. General foodies care about recipes; coffee enthusiasts care about chemistry and origin. - Do not assume they know their exact roast preference immediately; emphasizing a "coffee matching quiz" removes friction. ## STEP 3: GOOGLE ADS AUDIENCE TYPE MAPPING | Audience Type | Fit Level | Specific Recommendation | Campaign Type | |---------------|-----------|--------------------------|----------------| | Demographic | **High** | Exclude 18-24. Exclude Bottom 50% HHI. | Search, PMax, Demand Gen | | Affinity | **Low** | Avoid broad affinities based on past failure. Narrow strictly to "Coffee Shop Regulars" if used at all. | Demand Gen (Observation only) | | In-Market | **High** | "Espresso & Coffee Makers", "Gourmet & Specialty Foods", "Gifts & Occasions" (Seasonal). | Search, PMax | | Life Events | **Medium** | "Recently Moved" (Often triggers new household subscriptions/routines). | Demand Gen, Video | | Custom Segments | **Critical** | Search terms for competitors and "roast to order" keywords. | PMax, Demand Gen, Search (RLSA) | | Detailed Demographics | **Medium** | Target Homeowners (correlates with target HHI and stable subscription retention). | Search (Bid adjustment) | ## STEP 4: CUSTOM SEGMENT BLUEPRINTS **Blueprint A: Custom Segment by Search Keywords** - *Intent:* Have searched for any of these terms on Google - *Research:* "why does store bought coffee taste stale", "best beans for french press", "how long do coffee beans last" - *Comparison:* "trade coffee vs atlas", "blue bottle subscription reviews", "best coffee subscription 2026", "specialty coffee delivery" - *Purchase-Ready:* "buy freshly roasted coffee online", "roast to order coffee subscription", "subscribe to whole bean coffee" - *Best Campaign Type:* Search (as Audience Observation), Performance Max (Audience Signal) - *Exclusions:* Broad terms like "cheap coffee", "k cups", "instant coffee" **Blueprint B: Custom Segment by URLs** - *Intent:* People who browse websites similar to - *Competitors:* tradecoffeeco.com, atlascoffeeclub.com, bluebottlecoffee.com, mistobox.com, beanbox.com - *Research/Enthusiast:* home-barista.com, sprudge.com, perfectdailygrind.com, [nytimes.com/wirecutter/reviews/best-coffee-maker/](https://www.google.com/search?q=https://nytimes.com/wirecutter/reviews/best-coffee-maker/) - *Best Campaign Type:* Demand Gen, Video Action Campaigns - *Exclusions:* General food recipe sites (e.g., allrecipes.com) to avoid the "Foodie" trap. **Blueprint C: Custom Segment by Apps** - *Intent:* People who use apps similar to - *Apps:* Trade Coffee App, Fellow (brew tracker app), Brew Timer, Starbucks (use with caution, but high volume), specialized espresso logging apps. - *Best Campaign Type:* Demand Gen (Mobile) - *Exclusions:* Dunkin' Donuts app, fast food apps (intent is cheap/fast, not specialty/quality). ## STEP 5: FIRST-PARTY DATA ACTIVATION PLAN 1. **Customer Match Lists** - *List 1: Active Subscribers (8.4k).* **Action:** EXCLUDE from all prospecting/acquisition campaigns. - *List 2: Churned Subscribers (22k).* **Action:** Exclude from standard acquisition. Use for a dedicated "Win-Back" campaign with a unique offer. - *List 3: Newsletter Non-Buyers (\~14.6k).* **Action:** TARGET via Search RLSA (bid up +20%) and Demand Gen. - *Process:* Ensure lists are uploaded with hashed emails, phone numbers, and zip codes to maximize match rates. Set up automatic CRM syncing via Zapier or native integrations. 2. **Similar Audiences (Modern Activation)** - *Platform Shift:* Since Google deprecated Similar Audiences, you must use your Customer Match lists as **Audience Signals** in Performance Max campaigns. - *Recommendation:* Seed a PMax Audience Signal using your "Active Subscribers (8.4k)" list. The algorithm will prospect for users sharing characteristics with your highest LTV buyers. 3. **Website Visitor Lists** - *List 1: All Visitors 30 Days.* (Exclude from pure prospecting, target in remarketing). - *List 2: Cart Abandoners 7 Days.* (High intent remarketing). - *List 3: Coffee Quiz Completers 14 Days.* (High intent, dynamic remarketing based on quiz result). 4. **Enhanced Conversions** - *Status:* Critical. Since Consent Mode v2 is implemented, enabling Enhanced Conversions (Web) will allow Google to map hashed email data from your checkout back to ad clicks, recovering conversions lost to cookie blockers (Safari/iOS). Priority: Immediate. 5. **Offline Conversion Import (OCI)** - *Application:* Since this is a subscription model with a $420 LTV, do not just optimize for the initial $38 order. Implement OCI to send a conversion back to Google when a user *renews for their 3rd month*. Optimize a specific campaign toward this "High LTV" conversion event to train Smart Bidding on quality over volume. 6. **Consent Mode v2** - *Status:* Implemented (Excellent). Ensure Advanced Consent Mode is active so behavioral modeling bridges the gap for users who decline cookies. ## STEP 6: AUDIENCE LAYERING AND EXCLUSION STRATEGY 1. **Layering Matrix** - *Search Campaigns:* Use all 1P lists and Custom Segments as **Observation** to gather data. Apply bid modifiers to highly relevant audiences (e.g., +15% for Cart Abandoners). - *Performance Max:* Add Custom Segments, 1P Lists, and In-Market audiences into distinct Asset Groups as **Audience Signals**. - *Demand Gen:* Use as strict **Targeting** (e.g., one ad group targeting URL blueprint, one targeting Newsletter non-buyers). 2. **Combined Segments Recommendations** - *Segment 1 (The Sweet Spot):* In-Market: Espresso & Coffee Makers `AND` Top 30% HHI. - *Segment 2 (High Intent Searchers):* Custom Segment A (Keywords) `AND NOT` Website Visitors (30 Days). - *Segment 3 (Warm Lead Conversion):* Newsletter Non-Buyers `AND` Coffee Quiz Completers. 3. **Exclusion Strategy** - **Account-Level Exclusions:** Uploaded Active Subscribers list. - **Campaign-Level Exclusions (Prospecting):** Website Visitors (30 Days), Churned Subscribers. - **Geo Exclusions:** Alaska, Hawaii. 4. **Negative Audience List** - Exclude Bottom 50% Household Income. - Exclude Ages 18-24. - Exclude Searchers for: "wholesale coffee beans", "cafe supplier", "cheap coffee", "k-cups". ## STEP 7: BIDDING AND BUDGET ALLOCATION BY AUDIENCE | Audience Segment | Priority Tier | Recommended Campaign Type | Bidding Strategy | Budget Share (Phase 1) | Budget Share (Phase 2) | |-------------------|----------------|----------------------------|--------------------|-------------------------|-------------------------| | Non-Brand Search (Observed Audiences) | **High** | Search | Maximize Conversions (Target CPA $45) | 40% | 30% | | PMax (Active Subs + Custom Segments as Signals) | **High** | Performance Max | Target CPA ($45) | 30% | 50% | | Competitor URL Custom Segment | **Medium** | Demand Gen | Maximize Conversions | 15% | 10% | | 1P Remarketing (Cart Abandons + Quiz) | **Medium** | Search / Demand Gen | Target CPA ($35 - aggressively priced) | 15% | 10% | *Phase 1 Note:* Control the $12k budget tightly. Use strict target CPAs. *Phase 2 Note:* As PMax proves it can find LTV-positive customers at the $45 CPA using your active subscriber signals, shift more budget there to scale. ## STEP 8: TESTING ROADMAP | Test \# | Audience Hypothesis | Campaign Setup | Success Signal | Minimum Duration | Priority | |--------|----------------------|-----------------|------------------|-------------------|----------| | 1 | Competitor URLs vs. Broad Non-Brand | Demand Gen ad group targeting Competitor URLs vs. open targeting. | Lower CPA, Higher CVR | 3 Weeks | **Critical** | | 2 | In-Market "Coffee Makers" Layering | Apply as +20% bid adjustment on generic Search terms ("best coffee beans"). | Higher ROAS/LTV on matched clicks | 4 Weeks | **High** | | 3 | Churned Subscriber Win-Back | Dedicated Search/Demand Gen targeting the 22k churned list with a 20% off returning offer. | CPA \< $40 | 3 Weeks | **High** | | 4 | Newsletter Lookalikes (Signals) | PMax asset group using Newsletter non-buyers as the primary signal. | Volume of new subs within $45 CPA | 4-6 Weeks | **Medium** | | 5 | Seasonality: Gifting Audiences | Custom segment targeting "coffee gifts" (Deploy Nov 15 - Dec 20). | Volume scaling | 4 Weeks | **Medium** | | 6 | Device/OS specific targeting | iOS users vs Android users (often correlates with HHI). | LTV metrics over 3 months | 12 Weeks | **Low** | | 7 | Coffee App Users | Demand Gen targeting users of Fellow/Brew Timer apps. | High CTR, efficient CPC | 3 Weeks | **Low** | *Behavioral Reasoning:* Tests 1-3 capitalize on known intent and existing assets, minimizing waste. They test the assumption that users actively researching the competition or possessing specific hardware have a shorter time-to-conversion than generic coffee drinkers. ## STEP 9: MEASUREMENT FRAMEWORK | Metric | Baseline Reading | Review Cadence | What to Watch For | |--------|-------------------|------------------|---------------------| | Cost Per Acquisition (CPA) | $45 Target | Weekly | Spikes in CPA when scaling PMax. Ensure new audiences don't drag account CPA >$50 for more than 7 days. | | Customer Match Match Rate | Current % | Monthly | Should be \>60%. If lower, investigate CRM data hygiene (missing zip codes/phones). | | 2nd Month Retention Rate | (Need to establish) | Monthly | **Crucial.** Ensure new audiences aren't just one-and-done buyers. Are Competitor URL buyers churning faster than Organic buyers? | | Audience Observation Lift | 0% | Bi-Weekly | Check Search campaigns: Is the CVR for users in the "In-Market Coffee Maker" segment significantly higher than the baseline? If yes, split it out or bid up. | *Guidance for interpreting results:* - Give Smart Bidding and new Audience Signals at least 3-4 weeks to stabilize before pulling the plug, assuming the daily spend is generating at least 1-2 conversions per day. - Measure your CPA on a 14-day delay to account for the 2-6 week research journey. A click today might convert 3 weeks from now. - Always cross-reference Google Ads platform conversions with your backend CRM (Stripe/Shopify) to ensure the $45 CPA is generating actual $420 LTV customers, not serial discounters.