Content Spy

Document and analyze competitor posting schedules, content themes, hook styles, and promotional timing to spot gaps and counter-programming opportunities.

Document and analyze competitor posting schedules, content themes, hook styles, and promotional timing to spot gaps and counter-programming opportunities. Knowing what your competitors post — and more importantly, what they avoid — is one of the highest-leverage research inputs for ecommerce content strategy.

Quick Reference

Decision	Strong	Acceptable	Weak
Competitor sample size	5–8 direct competitors analyzed	3–4 competitors	1–2 competitors
Analysis time window	90 days of posts	30–60 days	Last 7–10 posts only
Content categories tracked	6+ distinct content types	4–5 types	High/low performer sorting only
Gap identification method	Cross-competitor gap + engagement analysis	Single competitor gap	No gap analysis — only description
Counter-programming logic	Specific angle + timing recommendation	General "post more X" advice	No counter-programming output
Engagement signal depth	Views + likes + comment themes	Views/likes only	Follower count only
Hook pattern analysis	First-3-second pattern documented	Hook topic noted	No hook analysis

Solves

1. Content strategy vacuum — Building content plans without competitive context means you're inventing from scratch when a working template already exists in your market.
2. Overlapping competitor content — Posting the same angles as dominant competitors at the same times means fighting for the same audience attention with identical content.
3. Ignoring content gaps — Categories your competitors avoid are either opportunities (underserved audience need) or hazards (they've tested and failed) — you need to know which.
4. Missing promotion timing intelligence — Competitors' sale timing and promotional content patterns reveal their campaign calendar, which you can use to counter-program or anticipate market saturation.
5. Hook pattern blindness — Not knowing what hook styles are working in your category means writing hooks in isolation rather than building on what's proven to stop the scroll.
6. No engagement pattern analysis — Knowing what topics competitors post is less useful than knowing which topics generate comments, saves, and shares vs. passive likes.
7. Single-competitor tunnel vision — Analyzing only your top competitor misses patterns that emerge only when you look across 5–8 players simultaneously.

Workflow

Step 1 — Define the Competitor Set

Identify 5–8 direct competitors. Include:

• Direct competitors: Same product category, similar price point, similar target audience
• Aspirational competitors: Larger players in your category whose content you want to understand
• Adjacent competitors: Brands solving the same underlying problem with a different product (e.g., if you sell skincare, include brands selling supplements with a "skin from within" angle)

Do not include — Generic lifestyle brands, aspirational brands so different from you that their audience doesn't overlap, or brands in non-overlapping geographies.

Step 2 — Set Up the Tracking Structure

Create a simple tracking sheet with one row per post. For each post, record:

• Competitor name
• Post date
• Platform (TikTok, Instagram Reels, etc.)
• Content type (product demo, testimonial, tutorial, trend participation, behind the scenes, promotional, educational)
• Hook type (first 3 seconds description — question, bold claim, visual action, testimonial clip, problem statement)
• Primary topic/angle
• View count, like count, comment count (or engagement rate if available)
• Promotional content flag (yes/no — is this a sale or discount push?)
• Posting time (day of week + approximate time)

Track at least 30 posts per competitor to get meaningful patterns.

Step 3 — Map the Content Calendar Pattern

For each competitor, identify:

• Posting frequency: Posts per week on each platform
• Day-of-week patterns: Are they heavy on weekday evenings? Weekend mornings?
• Promotional timing: When do they post sales content? How many days before and after a sale event?
• Content type rotation: Do they follow a pattern (e.g., Monday tutorial, Wednesday product, Friday promo)?

Note — Posting patterns are a proxy for what's working. Brands that have optimized their content calendar will show clear patterns; brands that haven't will show randomness.

Step 4 — Identify Top and Bottom Performing Content

For each competitor, sort posts by view count (or engagement rate if views aren't visible) and identify:

• Top 20% of posts: What content types, topics, and hooks appear most frequently?
• Bottom 20% of posts: What types consistently underperform?
• Engagement quality signals: Which posts generate comments and saves vs. passive likes? (Comment-generating content usually indicates higher emotional resonance)

Look for patterns that appear across multiple competitors — cross-competitor top performers are especially valuable signals.

Step 5 — Map the Content Gap Matrix

Create a 2×2 matrix for content topics/types:

• Axis 1 (vertical): Coverage — Do competitors post this content type? (All post it / Some post it / None post it)
• Axis 2 (horizontal): Performance — When posted, does this content type perform well or weakly?

	High Engagement When Posted	Low Engagement When Posted
All competitors post it	Proven category, competitive	Saturated, avoid
Some post it	Opportunity — differentiate your execution	Test carefully
No one posts it	High-value gap — explore first	Likely a dead end — skip

The top-right of the top-left cell (high engagement, no or few competitors) is your primary opportunity target.

Step 6 — Analyze Hook Patterns

Extract the first 3 seconds of your competitors' top 10 performing posts. Categorize each hook:

• Question hook: "Are you struggling with X?"
• Bold claim hook: "This changed my skincare routine completely"
• Visual action hook: Product being opened/used dramatically in first frame
• Testimonial hook: Customer result shown or described immediately
• Trend hook: Participating in a current TikTok audio or format trend
• Problem declaration: "I had [problem] for 3 years..."
• Reveal hook: "Wait until you see this..."

Identify which hook types appear most in the top performers across your competitor set.

Step 7 — Generate Counter-Programming Recommendations

Combine the gap analysis with posting pattern data to build counter-programming opportunities:

• Content gap + high engagement signal: Create a content series in this category first
• Competitor posting day/time gap: If competitors are quiet on Tuesday mornings but engagement is still strong, that's a low-competition slot
• Tone/angle gap: If all competitors use similar voices (all enthusiastic, all formal), the opposite tone may stand out
• Promotional timing gap: If competitors all push sales on Friday, a Wednesday promotion may capture attention before the market saturates

Examples

Example 1 — Skincare Brand Competitor Analysis

Input:

• Your brand — Vitamin C serum, mid-range price, targeting women 25–40 in UK
• Competitors analyzed — 6 brands (2 large, 2 mid-size, 2 similar-stage)
• Analysis window — 90 days, 30+ posts each
• Platform — TikTok

Output:

text

COMPETITOR POSTING PATTERN SUMMARY

Brand A (Large, 250k followers):
- Posts 5×/week; peaks on Monday and Thursday evenings (7–9pm)
- 70% educational content (skincare routines, ingredient explanations)
- 20% product demos; 10% promotional
- Top performers — "Ingredient explained" videos (avg 45k views)
- Bottom performers — Brand origin stories (avg 3k views)
- Hook pattern — 80% of top posts use the bold claim hook ("This ingredient does X")

Brand B (Mid-size, 80k followers):
- Posts 3×/week; no clear day pattern
- 50% UGC/testimonial reposts; 40% product demos; 10% promotional
- Top performers — Before/after UGC (avg 85k views for category)
- Hook pattern — Testimonial hooks dominate top performers

Brand C (Small, similar stage to you):
- Posts 7×/week (high frequency)
- Heavy trend participation (TikTok sounds/formats)
- Inconsistent performance; 3–5k views on most, occasional viral 200k+ on trend content
- Hook pattern — Trend participation hooks; some question hooks

CONTENT GAP ANALYSIS

| Content Type | Competitor Coverage | Engagement Level | Assessment |
|---|---|---|---|
| Ingredient science deep-dives | A does this; B/C don't | High for A | Opportunity — execute better |
| Application technique videos | None | Unknown | High-value gap to test |
| Skin type specific advice | None | Unknown | High-value gap to test |
| Skincare myth debunking | 1 of 6 (Brand D) | High | Gap opportunity |
| Morning vs. evening routine | 3 of 6 | Medium | Competitive, differentiate execution |
| Product ingredient stories | None | Unknown | Worth testing |

HOOK PATTERN FINDING
Bold claim hooks dominate top performers across brands (4 of 6 competitors).
No competitor is using problem-declaration hooks in the first 3 seconds despite
this format working in adjacent beauty categories. First-mover opportunity.

COUNTER-PROGRAMMING RECOMMENDATIONS
1. Target Tuesday/Wednesday posting — all large competitors post heavily Mon/Thu;
   Tuesday is the lowest competition day in this competitor set
2. Build a "Skin Type Guide" series — no competitor covers this explicitly;
   high search relevance for buyer decision stage
3. Test problem-declaration hooks ("I had dull skin for 3 years...") — competitors
   are all using bold claim hooks; differentiated format may stand out
4. Avoid generic "routine video" content — 4 of 6 competitors produce this;
   only worth doing with a strong differentiation angle

Example 2 — Electronics Accessory Brand Content Spy

Input:

• Your brand — Phone cases, budget-to-mid range, TikTok Shop US
• Competitors — 7 brands (3 large, 4 similar scale)
• Analysis window — 60 days

Output:

text

PROMOTIONAL TIMING INTELLIGENCE

Large brands all run promotions aligned with these triggers:
- 2–3 days before major sale events (Prime Day, Black Friday)
- 5–7 posts of "last chance" content in final 48 hours of a sale
- Post-sale content is rare — brands go quiet after sale ends

COUNTER-PROGRAMMING OPPORTUNITY — Post high-value non-promotional content
immediately after competitor sale events end — when they go quiet and their
audience is still engaged. This is the lowest competition content window
in the category calendar.

TOP PERFORMING CONTENT TYPES (cross-competitor)
1. Drop protection demonstration videos (avg 120k views across category)
2. "Worst case scenario" destruction content (high viral potential when it works)
3. Before/after phone protection comparisons

BOTTOM PERFORMING CONTENT TYPES
1. Pure product beauty shots — under 5k views consistently
2. Feature list read-aloud — among lowest performers across all brands
3. Brand values / sustainability content — low traction in this category

GAP — No competitor is doing customer story content (how they broke their
previous phone and switched to a protective case). Emotional, problem-aware
angle absent from entire category. Test a 5-part series.

Common Mistakes

1. Analyzing follower counts instead of engagement rates — A competitor with 500k followers and 2k views per video is being outperformed by a competitor with 20k followers and 15k views per video. Normalize by engagement, not audience size.

2. Only analyzing the winner — Looking only at your category leader means you see what works at scale, but you miss what's working for brands at your growth stage, which is more relevant.

3. Mistaking a content gap for a content opportunity — If competitors have tested a content type and it consistently underperforms, the gap isn't an opportunity — it's evidence the audience doesn't respond to it. Distinguish between gaps caused by audience disinterest vs. gaps caused by competitor oversight.

4. Copying top performers directly — The goal is to identify patterns and angles, not to replicate content. Copied content performs worse than original content using the same format and angle, and creates brand association problems.

5. Snapshot analysis instead of trend analysis — Looking at 7 days of competitor content tells you what they're doing right now, not what's working over time. 90-day analysis reveals platform algorithm shifts, seasonal patterns, and content evolution.

6. Ignoring comments as a signal — Comments tell you what the audience thinks and feels in a way that likes don't. A post with 5,000 likes and 400 comments reveals the audience is emotionally engaged. A post with 5,000 likes and 10 comments reveals passive content consumption.

7. Not sharing the counter-programming angle — An analysis that describes competitor content without recommending specific counter-programming moves is incomplete. The goal is not to know what competitors do — it's to find where you can win.

Resources

• output-template.md — Structured output for competitor content analysis
• content-type-taxonomy.md — Standard content type definitions for consistent tracking
• hook-pattern-tracker.md — Framework for documenting and categorizing hook patterns
• content-spy-checklist.md — Quality checklist for completed competitor analyses