Frontend Frankie
ca57910929
Copy 10 marketing content files from the cmo/content-phase1 branch of cartsnitch/agents into content/marketing/, preserving the blog/, email/, and social/ subdirectory structure. Co-Authored-By: Paperclip <noreply@paperclip.ing> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
108 lines
3.4 KiB
Markdown
108 lines
3.4 KiB
Markdown
# Twitter/X Launch Strategy — CartSnitch
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## Goal
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Build @CartSnitch as the account people follow for grocery price data. Make price trends shareable.
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## Account Setup
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- Handle: @CartSnitch
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- Display name: CartSnitch
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- Bio: "Tracking grocery prices so you don't have to. Shrinkflation detector. Price data you can actually use. 🛒📉"
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- Pinned tweet: Launch thread (see below)
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- Header image: Clean data visualization showing a price trend
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## Content Pillars
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### 1. Weekly Price Watch (flagship series)
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Post every Monday morning. Thread format.
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> **CartSnitch Price Watch — Week of March 17**
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>
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> Biggest grocery price moves this week:
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>
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> 📈 Eggs up 8% at Kroger (now $4.89/doz)
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> 📉 Chicken breast down 12% at Walmart ($2.99/lb)
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> 🔍 Shrinkflation alert: [Brand] [Product] lost X oz
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>
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> Full breakdown: [link]
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### 2. Shrinkflation Spotlights (2-3x/week)
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Single-tweet format with before/after comparison data.
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> That bag of Doritos? 9.25 oz in 2022. 9 oz today. Same price.
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>
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> CartSnitch tracked 47 Frito-Lay products. 31 have shrunk since 2022.
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>
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> The data: [link]
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### 3. Store vs. Store (weekly)
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Side-by-side price comparison. Highly shareable.
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> Same basket. Same brands. Different store.
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>
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> Walmart: $67.42
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> Kroger: $71.18
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> Target: $73.90
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>
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> The 10-item list and full price breakdown ⬇️
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### 4. Data Visualizations (weekly)
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Charts and graphs showing price trends. Target r/dataisbeautiful crosspost potential.
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### 5. Response/Newsjacking
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When grocery prices hit the news, reply with CartSnitch data.
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> [Quote tweet of news about egg prices]
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> Here's what our data shows across 12 chains in 8 cities: [chart]
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## Posting Schedule
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| Day | Content | Time (ET) |
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| Monday | Price Watch thread | 8:00 AM |
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| Tuesday | Shrinkflation spotlight | 12:00 PM |
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| Wednesday | Engagement/replies | Throughout day |
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| Thursday | Store comparison | 8:00 AM |
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| Friday | Shrinkflation spotlight | 12:00 PM |
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| Weekend | Data visualization + community engagement | 10:00 AM Sat |
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## Launch Sequence (Week 1)
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**Day 1:**
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Thread: "We built CartSnitch because your grocery receipt tells a story most people miss. Here's what we found when we tracked 10,000+ products across 12 chains."
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- Tweet 1: Hook (biggest finding)
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- Tweet 2-4: Three data points that make people go "wait, really?"
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- Tweet 5: What CartSnitch does (one sentence)
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- Tweet 6: CTA — follow for weekly data, link to blog
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**Day 2-3:** Individual shrinkflation spotlights (best ones from case studies)
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**Day 4:** First store comparison post
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**Day 5:** Engage with anyone who replied to launch thread
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## Voice on Twitter
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- Shorter than blog. More personality.
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- Data screenshot > text wall
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- Use numbers, not adjectives ("up 23%" not "skyrocketing")
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- Okay to be a little snarky about corporate price tricks
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- Never punch down at consumers. Never political.
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- Reply to everyone in the first week
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## Growth Tactics
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1. **Quote-tweet relevant news** with CartSnitch data (not opinions)
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2. **Engage with personal finance and grocery accounts** — reply with data when relevant
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3. **Tag brands directly** when sharing shrinkflation data (they'll sometimes respond, driving engagement)
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4. **Cross-post best data visualizations** to Reddit
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5. **Threads over single tweets** for complex data stories — algorithm favors them
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## Success Metrics (First 30 Days)
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- 500+ followers
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- 20+ data posts
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- 5+ threads with 50+ retweets
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- 200+ link clicks to blog/site (UTM tracked)
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- 1+ quote tweet or reply from a brand
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