Before you start
- Target competitor's name + URL
- Access to free tools: Similarweb, Facebook Ad Library, LinkedIn Ad Library, Google SERP
- Optional but useful: Ahrefs/Semrush, SpyFu, BuiltWith
- 2-4 hours for a thorough single-competitor teardown
- A 1-page output template (so the teardown turns into action, not a deck nobody reads)
The playbook
9 steps
Profile the channel mix via Similarweb
Open **similarweb.com/website/<competitor-domain>**. Look at the **Traffic Sources** breakdown: Direct, Search, Social, Referrals, Email, Display. The percentages tell you which channels the competitor is investing in. **Search-dominant**: SEO/SEM-led growth motion. **Social-dominant**: paid/organic social-led. **Direct-dominant**: brand-strong or sales-led. The mix is the first signal of strategy.
Expected outcome
Channel mix percentages logged; primary 2-3 channels identified.
Audit their paid social via ad libraries
**Facebook Ad Library** (facebook.com/ads/library) and **LinkedIn Ad Library**. Search the brand name. Filter to Active. Note: volume of active ads, primary media types (video/static/carousel), format mix (Reels/Feed/Stories on Meta; thought-leader vs sponsored content on LinkedIn), start-date distribution. **Active ads >60 days are evergreen winners** - those are the patterns the competitor knows work.
# Facebook Ad Library URL pattern: # https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=ALL&q=<brand> # LinkedIn Ad Library URL pattern: # https://www.linkedin.com/ad-library/search?keyword=<brand>Expected outcome
Per-platform active-ad inventory captured; evergreen winners flagged.
Reverse-engineer the SEO strategy
**Ahrefs Site Explorer → Top Pages by traffic**. The top 20 pages tell you what content the competitor invested in to drive organic traffic. **Top Keywords by traffic** tells you the queries. Cross-reference: are they ranking on commercial-intent terms (high revenue impact) or informational terms (top-funnel education)? The mix reveals their funnel philosophy.
Expected outcome
Top 20 pages and keywords logged; commercial vs informational ratio noted.
Map their paid search via SpyFu or Auction Insights
**SpyFu → enter URL → Top PPC keywords**. Note: keyword count (breadth), top spend keywords, ad copy patterns, landing page diversity. **Branded-only spend** = defensive strategy. **Heavy non-branded spend** = aggressive growth. **Bidding on competitor branded terms (yours included)** = competitive displacement strategy.
Expected outcome
PPC strategy profile captured (breadth, spend mix, defensive vs offensive).
Profile their content engine
Audit the blog/resources section. **Frequency**: posts per month. **Format**: blog posts only? podcasts? videos? interactive tools? **Topic clustering**: spread across the funnel or concentrated? **Distribution signals**: do posts have backlinks, social shares, prominent placement? A content engine producing 2x/week with strong distribution signals is a serious investment; sporadic blog posts with no shares is content theater.
Expected outcome
Content engine assessment: frequency, format mix, distribution health.
Decode the funnel via the email + retargeting flow
Sign up for the competitor's email list (use a research alias). Note: welcome sequence length and content, time between emails, offer types, sales triggers. Then visit the site, browse, leave. Watch which retargeting ads serve to you over the next 2 weeks. The combo of email + retargeting reveals the actual nurture mechanics, not the marketing-page claims.
TipUse a dedicated research email (research-yourname@gmail.com) so you can repeat this for every competitor without polluting your main inbox.Expected outcome
Email sequence + retargeting cadence documented over 14 days.
Stack-audit via BuiltWith
**builtwith.com/<competitor-domain>**. Surfaces: analytics stack (GA4? Mixpanel? Heap?), tag manager, A/B testing tool, email platform, CRM, payment processor, hosting, CDP. The stack reveals operational sophistication. A modern data stack signals data-driven decision-making; a barebones stack signals manual operations.
Expected outcome
Stack profile captured; operational sophistication scored.
Read the hiring signals
Check the competitor's careers page + LinkedIn jobs. **Growth team hiring**: paid acquisition push. **Content + SEO hiring**: organic motion. **Sales hiring**: sales-led GTM. **Product marketing hiring**: launch incoming. Hiring is the most honest leading indicator of marketing strategy because it has to commit budget 6-12 months ahead of execution.
Expected outcome
Hiring signals over last 90 days documented; near-term strategic shifts predicted.
Synthesize into a 1-page strategic teardown
Compress everything into 1 page. Five sections: **(1) Channel mix** (the headline). **(2) Where they're investing** (top 2-3 plays). **(3) Where they're vulnerable** (gaps you spotted). **(4) What they do that you don't** (worth testing). **(5) What you do that they don't** (worth amplifying). The 1-page constraint forces synthesis; longer outputs get filed and forgotten.
Expected outcome
1-page strategic teardown ready to share with leadership and inform next-quarter planning.
Shuttergen
Turn the teardown into shipped creative.
Most competitor teardowns end with 3-4 'plays we should test.' Shuttergen turns those plays into actual creative variants - hook archetypes, formats, copy patterns - ready to run in Ads Manager this week.
Pitfalls
What goes wrong
Confusing public-facing brand with actual strategy
What competitors publish on their About page and what they actually spend money on diverge constantly. Trust traffic-source breakdowns and ad-library activity over marketing-page claims.
Treating tool estimates as ground truth
Similarweb traffic estimates, SpyFu spend estimates, and Ahrefs keyword traffic numbers are directional, not absolute. The patterns are reliable; the precise numbers aren't. Quote ranges, not point estimates.
Producing a 30-page teardown nobody reads
Long competitor teardowns get filed and forgotten. The 1-page synthesis is what turns research into shipped strategy. Cut everything that doesn't serve the synthesis.
Single-pass research with no refresh
Competitor strategies shift every 6 months. A teardown from Q1 is stale by Q3. Refresh Tier 1 competitors quarterly; refresh the synthesis annually at minimum.
Skipping the email + retargeting step
Most teams audit competitor ads but never sign up for their email lists. The email sequence reveals the entire nurture mechanic - far more strategic intelligence than any ad in isolation.
Limits
When this playbook won't work
- Competitors with no online presence (sales-led B2B with zero marketing investment)
- White-label/affiliate categories where the brand on the URL isn't the operator
- Competitors smaller than ~$1M ARR - signal is too thin across most tools
- Restricted industries (gambling, certain financial) where ad libraries are restricted
- Brand-new competitors (<6 months) - no tool data, no email sequence yet, no hiring signal pattern
Why most competitor teardowns fail to inform strategy
They stop at observation instead of synthesis. Listing 'competitor runs Facebook ads, has a blog, sponsors podcasts' is not a strategy teardown - it's a list of things you can already see. The synthesis is why these channels in this proportion at this time, and what the trajectory implies for the next 12 months.
They mistake activity for strategy. A competitor running 200 ads might be strategically aggressive or operationally chaotic. Look at the time-on-platform of their ads, the consistency of their hook archetypes, the discipline of their offer mix. Patterns reveal strategy; sheer volume rarely does.
They skip the operational signals. Hiring, stack, distribution health, email sequence cadence - these reveal what the competitor is actually doing operationally, not what they're saying publicly. A teardown built only from public marketing surfaces misses the most diagnostic signals.
The good teardown ends with three or four specific moves you'll make. 'Test their hook archetype X in our next sprint.' 'Build out the comparison page they have that we don't.' 'Bid defensively on their branded terms they're starting to push on.' Without these moves, the teardown is decoration.
Internal: competitive-analysis-software, competitor-monitoring-tools, find-competitors.
Turn the teardown into shipped creative. Most competitor teardowns end with 3-4 'plays we should test.' Shuttergen turns those plays into actual creative variants - hook archetypes, formats, copy patterns - ready to run in Ads Manager this week.
How to run this at portfolio scale
Deep teardown on Tier 1 (3-7 brands) once per quarter. Light pulse on Tier 2 (3-7 brands) monthly. Watch-list on the rest. The deep teardown is 2-4 hours per competitor - so 6-24 hours per quarter total. Manageable for a single PMM or marketing lead; trivial for a team.
Build a shared competitor wiki. One page per Tier 1 competitor with the rolling teardown, ad-library captures, content audit, email sequence notes. Updated quarterly. The wiki becomes the institutional memory that survives team turnover.
Pair each quarterly teardown refresh with a strategy review. What's our response? What did they do that worked that we should test? What did they do that flopped that we can counter-position on? Without the strategy review, the teardown is intelligence theater.
Internal: keyword-monitoring, hyros for attribution-side competitive analysis.
FAQ
Frequently asked
How do I find out what marketing strategy a competitor is using?
What's the best free tool for competitor marketing strategy analysis?
How long does a good competitor marketing teardown take?
How often should I refresh competitor marketing strategy research?
What's the most underused signal in competitor research?
Should I sign up for competitors' email lists?
How do I act on competitor marketing intelligence?
Related
Keep reading
Turn the teardown into shipped creative.
Most competitor teardowns end with 3-4 'plays we should test.' Shuttergen turns those plays into actual creative variants - hook archetypes, formats, copy patterns - ready to run in Ads Manager this week.