Meta Ad Library Explained: How to Search Facebook & Instagram Ads, Analyze Competitors and Track Transparency in 2026

The Meta Ad Library is one of the most practical (and underused) tools for marketers, founders and researchers. It lets you view ads that are running across Meta platforms primarily Facebook and Instagram and, in specific categories like politics, it adds deeper transparency such as spend and impression ranges.

This guide breaks down what the Meta Ad Library is, how to use Meta Ad Library effectively, how to run a reliable Facebook Ad Library search and Instagram Ad Library search and how to turn what you find into actionable insights for strategy, creative and meta ad library competitor analysis without guessing.

What Is Meta Ad Library?

What is Meta Ad Library? It’s a public database where you can search and view ads from advertisers across Meta’s platforms. Think of it as a “public window” into what brands, organizations and public figures are promoting often in near-real-time.

At a high level, the Meta Ad Library lets you:

• Search by advertiser/page or keywords
• View ad creatives (images/videos), copy and basic ad status (active/inactive)
• Filter by country and platform (Facebook vs Instagram)
• Explore all ads an advertiser is running at once

Importantly, it is not a complete blueprint of an advertiser’s strategy. In most commercial categories, it won’t reveal full targeting (interests, lookalikes, custom audiences) or performance metrics. Still, as a competitive and market-intelligence tool, the Meta Ad Library is hard to beat especially because it’s free.

Meta Ad Library Transparency: What You Can (and Can’t) Learn

A major reason the library exists is meta ad library transparency to create accountability, especially for ads that influence public discourse.

What you can typically see

Depending on the ad category and region, you may see:

• Active/inactive status
• Creative assets (image/video) and ad copy
• First seen / start date (sometimes)
• Platforms the ad runs on (Facebook, Instagram)
• In special categories (notably politics), “Paid for by” disclaimers, spend ranges, impression ranges, and distribution details

What you usually can’t see

For most standard commercial ads, you typically won’t see:

• Exact audience targeting (interests, behaviors, custom audiences)
• Conversion results, CPA/ROAS, or detailed spend
• Full funnel logic (retargeting sequences, exclusions)

The takeaway: the library is best for understanding positioning, offers, creative direction and messaging patterns not exact campaign mechanics.

Meta Ad Library Features You Should Use (Not Just “Search”)

To get real value, treat the library as more than a place to “peek at ads.”

1) Search + filter controls

Core filters include:

• Country (critical for accuracy)
• Ad category (All ads vs issues/elections/politics)
• Platform (Facebook vs Instagram)
• Active status (active vs inactive)

These filters turn the library from “infinite scrolling” into a research tool you can use systematically.

2) Advertiser-level exploration

Once you find an advertiser, you can usually click through to see all ads they’re running. This reveals:

• How many creatives they have live (creative volume)
• Whether they refresh often (testing culture)
• Consistent themes (messaging strategy)

3) Creative review in context

You can inspect:

• Creative formats (static, carousel, video)
• Hooks and claims
• CTAs and offer framing
• Consistency across variants

This is where the library becomes a practical creative brief generator.

How to Access Meta Ad Library

To start using the Meta Ad Library, open the official Ad Library page in your browser. First, set the country/region you want to research, since results can change by location. Next, choose the most relevant ad category (typically “All Ads,” unless you specifically need the issues/elections category). Then run a search using a competitor/advertiser name, brand, product, or a keyword related to your niche. Click into the advertiser to open their full list of ads, then apply the available filters (country, platform, active status, and any other options shown) to narrow the results. Finally, open individual ads to inspect the details Meta provides creative, copy, and any additional transparency fields available for that ad.

How to Use Meta Ad Library (Step-by-Step)

If you want repeatable results, use this workflow every time.

Step 1: Choose the right category and country

Start by selecting:

• Country/region you care about
• Ad category
  • Use All Ads for typical competitor and market research
  • Use Issues, Elections or Politics when you need deeper transparency and want to find political ads Meta is tracking

This step matters because results and available data vary by location and category.

Step 2: Run a “clean” search (don’t start broad)

Use one of these search paths:

• Advertiser-first: Search brand/page name (best for competitor analysis)
• Keyword-first: Search product/service terms (best for market scanning)

For example, instead of searching “skincare,” try “retinol serum,” “acne patches,” or “SPF mineral.”

Step 3: Filter for signal

Use filters to reduce noise:

• Active ads show what’s running now (current messaging and offers)
• Inactive ads show historical tests and past campaigns (helpful for understanding what they tried)

Then apply platform filtering.

• Use the platform filter for Facebook Ad Library search insights vs Instagram Ad Library search insights (more on this below).

Step 4: Click the advertiser and map patterns

When you open an advertiser’s ad list, look for:

• Repeated hooks (same promise, different visuals)
• Repeated offers (discounts, bundles, trials)
• Repeated formats (UGC video, testimonials, founder story)
• Creative “families” (same concept repackaged)

If you see many variations of the same idea, it may indicate a priority angle the advertiser is actively testing or refining.

Step 5: Document findings in a consistent template

The most common failure mode is “I saw cool ads” but nothing turns into execution. Use a simple table (template below) to turn observations into testable decisions.

Advanced Meta Ad Library Search Techniques (Get Better Results Than Basic Searches)

Most people use the Meta Ad Library like a simple brand lookup tool. For serious competitor research, you’ll get better insights by running multiple search types (brand, product, problem, offer, seasonal) and narrowing with filters in a repeatable way.

1) Start with advertiser/brand searches (fastest route to competitor ads)

Use when: you already know the competitor brand/page name and want a clean view of their ad creative.

Search examples:

• BrandName
• BrandName official
• BrandName + country (if brand names collide)

Tip: If multiple pages appear, click through and confirm you’re on the correct advertiser by checking their logo, linked website, and whether the ad style matches what you expect.

2) Run product and service searches (find indirect competitors you didn’t list)

Use when: you want to discover who else is buying attention in the same category.

Search examples:

• project management software
• teeth whitening kit
• home cleaning service
• online tutoring

This method often surfaces “adjacent competitors” (different brand, same customer intent) that are easy to miss with only brand searches.

3) Use problem-based keyword searches (find the angles that sell)

Use when: you want to identify positioning themes and customer pain points competitors are targeting.

Search examples:

• back pain
• hair fall
• low energy
• acne
• invoice tracking
• reduce churn

Problem searches are useful for mapping messaging patterns (pain → promise → proof) across many advertisers, not just one.

4) Try “exact phrase” searches (manual, but effective)

Meta Ad Library doesn’t work like Google (no reliable advanced operators in every case), but you can still run phrase-based searches by pasting a specific line competitors might use and testing small variations.

Use when: you’re hunting a specific claim, hook, or line of copy.

Search examples (paste as-is and also try variations):

• limited time offer
• doctor recommended
• before and after
• same day delivery
• cancel anytime

If results are thin, shorten the phrase (e.g., from “limited time offer” to “limited time”) and rerun.

5) Combine brand + product/feature (find the exact campaign theme)

Use when: a brand runs multiple product lines or multiple audiences, and you want the relevant slice.

Search examples:

• BrandName free trial
• BrandName sunscreen
• BrandName CRM
• BrandName halal
• BrandName shipping

This is especially useful for Meta Ad Library competitor analysis because it reduces noise from irrelevant campaigns.

6) Offer-related searches (discounts, promos, risk reducers)

Use when: you want to see how competitors structure promotions and conversion incentives.

Search examples:

• free shipping
• cash on delivery
• buy 1 get 1
• discount code
• 20% off
• free trial
• money back guarantee
• cancel anytime

Offer searches are also a quick way to detect category norms (e.g., if “free shipping” is everywhere, you may need a stronger differentiator than shipping alone).

7) Seasonal searches (track promotion calendars and creative patterns)

Use when: you want to anticipate competitor campaign timing and seasonal creative shifts.

Search examples:

• Black Friday
• Cyber Monday
• Christmas sale
• Ramadan
• Eid sale
• summer sale
• back to school
• New Year

Pair seasonal terms with your country filter so you’re not misled by campaigns running in other markets.

8) Narrow results using filters (country, platform, ad status, category)

After any search, filters are what turn browsing into signal:

• Country: always set this first otherwise you may see irrelevant markets.
• Platform: isolate Facebook ads vs Instagram placements depending on what you’re researching (this ties directly into your Facebook Ad Library / Instagram Ad Library comparisons).
• Active status:
  • Active ads = current positioning/offers
  • Inactive ads = what they tested before (useful for historical patterns)
• Ad category: keep it on “All ads” unless you specifically need the political/issues database.

9) A broad-to-narrow search process (repeatable)

Use this sequence to reliably surface useful competitor ads:

1. Broad market scan: start with a product/service keyword
   Example: meal plan
2. Angle discovery: run a problem keyword
   Example: weight loss / high protein
3. Offer scan: run offer-related searches
   Example: free trial / discount code
4. Shortlist advertisers: click into 5–10 relevant pages you keep seeing
5. Narrow by platform + active ads: focus on what’s live where it matters (FB or IG)
6. Log the patterns: hooks, offers, formats, CTAs then convert into test ideas

This approach can produce more useful inputs for creative and positioning than relying only on one brand search.

Facebook Ad Library Search vs Instagram Ad Library Search

Even though it’s one tool, splitting by platform changes what you learn. In many cases, Meta Ad Library can also show whether an ad is running beyond Facebook and Instagram, such as on Messenger and (where applicable) the Audience Network. Availability can vary by ad and region, so treat placement details as a helpful indicator not a complete distribution report. When you see multi-platform delivery, it can suggest the advertiser is broadening reach or testing placements.

What you’ll often see on Instagram

• More short-form video (Reels-style)
• UGC/influencer voice and quick hooks
• Visual-first selling (less copy density)

What you’ll often see on Facebook

• More text-driven persuasion (longer copy is common)
• Link-forward ads and retargeting-friendly formats
• Broader demographic coverage in many markets

Practical use: run the same advertiser through both filters and compare:

• Hook style (visual vs narrative)
• CTA (shop now vs learn more)
• Proof (testimonials vs specs vs authority)

This is one of the fastest ways to refine creative direction by placement.

Meta Ad Library Competitor Analysis: A Repeatable Method

Meta Ad Library competitor analysis works best when you stop looking for “one winning ad” and start analyzing the system behind the ads.

1) Build a competitor set (3 layers)

Create a list of:

• Direct competitors (same product, same audience)
• Adjacent competitors (different product, same audience problem)
• Best-in-class advertisers (brands known for strong creative/testing)

This prevents you from copying only your closest rivals and missing bigger creative trends.

2) Identify each competitor’s “core angles”

Scan their active ads and label patterns like:

• Pain-point first (“tired of…”, “stop wasting…”)
• Outcome first (“get X in Y days”)
• Proof first (before/after, reviews, press mentions)
• Authority first (expert, founder, lab, certification)

Angles are more durable than individual creatives this is where strategic learning lives.

3) Reverse-engineer their offer structure (ethically)

From the ad and landing-page cues, map:

• Entry point: quiz, lead magnet, product page, collection
• Offer type: discount, bundle, limited-time bonus, free shipping, trial
• Risk reducers: guarantee, easy returns, subscription flexibility

You’re not trying to clone. You’re trying to see what the market has been trained to respond to and where there’s room to differentiate.

4) Track creative refresh rate

A simple proxy for “how serious this advertiser is” is:

• How many active creatives they run
• Whether they publish new variations frequently

High creative churn often suggests ongoing testing.

How to Monitor Competitor Meta Ads Over Time (Instead of Checking Once)

One-off competitor research is useful, but the real advantage comes from turning the Meta Ad Library into an ongoing monitoring system. The goal is simple: spot meaningful changes in competitor ads early new angles, new offers, new formats so your team can respond with better creative and smarter tests.

1) Identify (and save) a competitor’s Meta Ad Library page

To monitor consistently, you need the exact advertiser listing not just search results.

• Run a Meta Ad Library (or Facebook Ad Library) search for the competitor brand/page name.
• Click into the advertiser so you can see all ads by that page.
• Bookmark the advertiser page URL and add it to a competitor watchlist (sheet/Notion).
• If you see multiple similar pages, verify you’re tracking the right one by checking signals like the page name, logo, linked website, and the country filter you’re using.

2) What to monitor each time you check

Focus on changes that indicate a shift in strategy not just new visuals.

• New ads launched (new concepts, not just minor variations)
• Ads removed/paused (often signals tests ended or an angle cooled)
• New creatives (fresh UGC, new product demo, new testimonials, new formats)
• Offer changes (discounts, bundles, free shipping, free trial, limited-time promos)
• CTA changes (“Shop Now” → “Learn More” can signal funnel-stage shifts)
• Messaging changes (new pain point, new audience segment, new differentiation claim)
• Format changes (static → video, carousel → Reels-style short video)
• Promotion patterns (seasonal pushes, price-led vs value-led weeks)

3) Compare current ads with previously observed ads

Meta Ad Library doesn’t provide “change alerts,” so your advantage comes from disciplined logging.

• Maintain a simple “first seen / last seen” record for each ad concept you spot.
• Save screenshots (or links) of the ad creative and note the date you captured it.
• Track concepts at the theme level (e.g., “before/after proof angle”) so you can see when a competitor is iterating vs replacing an approach.
• Use your table as a running log: each week, add only what’s new, changed, or removed.

4) How to identify meaningful strategy changes (vs normal variation)

Not every new creative matters. These usually do:

• A sudden increase in active ad volume (often indicates scaling or a new campaign push)
• A clear offer shift (e.g., always “10% off” → now “bundle + free shipping”)
• A new primary angle repeated across multiple creatives (suggests a deliberate positioning move)
• A format pivot (e.g., heavy UGC video after months of static product images)
• Multiple variations clustered around one message (signals they’re likely testing/refining a priority theme)

5) Recommended monitoring frequency (by business type)

• High-velocity eCommerce / DTC: 2–3x per week (daily during major promo periods)
• SaaS / B2B: weekly (or biweekly if the category is slow-moving)
• Local services: monthly, with extra checks during peak seasonal demand

6) A simple weekly competitor-ad monitoring workflow (15–30 minutes)

1. Pick 5–10 competitors from your watchlist.
2. For each competitor, filter to Active ads and scan for:
   • new ads, removed ads, and obvious offer/CTA shifts
3. Log only the changes in your table (new concepts + what changed).
4. At the end, write 2–3 test ideas based on patterns you observed (not on assumptions about performance).

Important note on “long-running” ads

A long-running ad can be a useful signal that it’s part of an always-on campaign (and may be stable), but it does not prove the ad is profitable or the best-performing creative. It could be running at low spend, targeted narrowly (e.g., retargeting), or kept live for operational/compliance reasons. Treat longevity as a clue not a conclusion.

Competitor Analysis Table (Use This Template)

Field	What to capture	Example (generic)	Why it matters
Advertiser/Page	Brand or page name	“Brand X”	Keeps research organized
Platform filter	FB / IG / both	IG only	Creative expectations differ by platform
Ad status	Active / inactive	Active	Active ads often reflect current priorities
Creative format	Video / image / carousel	UGC video	Format shapes production needs and performance tendencies
Hook (first 1–2 seconds/lines)	The opening claim/question	“Still dealing with back pain?”	Hooks often determine scroll-stop rate
Core angle	Pain/outcome/proof/authority	Proof	Helps you build messaging frameworks
Offer	Discount/bundle/trial/bonus	“Starter bundle 20% off”	Offers drive conversion more than visuals alone
CTA	Shop now / Learn more / Sign up	Learn more	Suggests funnel stage and intent level
Proof elements	Reviews, stats, before/after	“4.8★ from 12k+ reviews”	Indicates trust strategy
Landing page type	PDP, collection, quiz, lead gen	Quiz	Reveals funnel logic
Differentiation claim	Their “why us”	“Dermatologist-tested”	Shows positioning in the category
Your test idea	A hypothesis you can run	“Try proof-first hook + bundle”	Converts observation into action

Ad → Landing Page → Funnel Analysis (How to Map the Full Competitor Journey)

The Meta Ad Library shows you the ad creative, but the real strategic insight often appears after the click. To make competitor research actionable, analyze the complete path from Facebook ads / Instagram ads to the landing page and the next steps in the funnel.

Use this framework to stay consistent:

Ad Hook → Problem → Promise → Creative → Proof → Offer → CTA → Landing Page → Message Match → Funnel Stage → Test Idea

1) Ad Hook

What to examine: The first line/first seconds that stop the scroll.
Capture: exact wording or the first 1–2 seconds of the video.
Why it matters: Hooks reveal what the competitor believes is the strongest entry point (pain, outcome, curiosity, authority, etc.).

2) Problem

What to examine: The specific pain point or friction they’re calling out.
Capture: problem statement + who it’s for (beginner vs advanced, budget vs premium, etc.).
Why it matters: Helps you identify the audience slice they’re prioritizing.

3) Promise

What to examine: The outcome they claim (speed, ease, quality, savings, transformation).
Capture: the “end result” and any implied timeframe or certainty.
Why it matters: Promise shapes landing-page expectations and what “proof” must support.

4) Creative (Format + Angle)

What to examine: UGC, demo, testimonial, founder story, before/after, carousel, static, short video, etc.
Capture: format + the main creative device (demo, talking head, captions, product-in-use).
Why it matters: Format often signals funnel stage and how “cold” the audience is.

5) Proof

What to examine: Anything designed to reduce skepticism:

• Reviews/star ratings, testimonials, before/after
• Stats (“10,000+ customers”), certifications, media logos
• Expert claims (where applicable)

Capture: what proof they use in the ad vs what they save for the landing page.
Why it matters: Competitors often shift proof depending on audience temperature.

6) Offer

What to examine: The exact deal structure:

• Discount, bundle, limited-time bonus, free shipping
• Free trial, demo, money-back guarantee, “cancel anytime”

Capture: terms and conditions you can see (duration, minimum spend, exclusions).
Why it matters: Offer structure often explains why a competitor uses a particular CTA (“Learn More” vs “Shop Now”).

7) CTA (in the ad)

What to examine: The action they want now (Shop Now, Learn More, Sign Up, Get Offer).
Capture: CTA text + whether it matches the intent of the ad copy.
Why it matters: CTA gives you a strong hint about funnel stage and expected friction.

Landing Page Analysis (What to Check After the Click)

8) Landing Page type (and what it reveals)

Click through (when possible) and classify the page:

• Product page (PDP): direct purchase intent, often used when offer is strong and product is well understood
• Collection/category page: browsing behavior; common when there are multiple SKUs or bundles
• Lead-generation page: email/SMS capture; used when purchase needs nurturing
• Quiz/finder page: segmentation + personalization; used when product selection is confusing or the brand wants qualification data

Important: The exact page you see can vary by device, location, or cookies. If you want a cleaner view, check in an incognito window and on mobile.

9) Message Match (ad ↔ landing page consistency)

This is where many funnels win or leak. Check:

• Headline match: Does the landing-page headline repeat the ad’s core hook/promise?
• Offer match: Same discount/trial/free shipping terms as the ad?
• CTA match: If the ad says “Start free trial,” is the landing page oriented around starting the trial immediately?

What it reveals: Strong message match usually indicates the competitor is intentionally reducing drop-off from click → conversion.

10) Conversion elements + friction

Look for:

• Pricing clarity: visible pricing vs “request pricing” vs gated pricing
• Guarantee / returns / cancellation terms
• Trust elements: reviews, security badges, certifications, contact options
• Form length (if lead gen): number of fields, steps, and whether it’s multi-step
• Objections handling: FAQs, comparisons, “why us,” shipping/returns

11) Upsells / cross-sells (where visible)

You won’t always see the full post-purchase flow, but you can often spot:

• Bundle upgrades on collection pages
• Add-ons in cart drawers
• “Frequently bought together” blocks
• Order bumps (if the checkout/cart is accessible)

What it reveals: Whether they’re optimizing AOV/LTV or focusing purely on first conversion.

12) Funnel Stage (what stage this ad is likely targeting)

Use signals from the ad + landing page:

• Top-of-funnel (prospecting): education-heavy pages, quizzes, lead magnets, “Learn More” CTAs, broader promises
• Mid-funnel (consideration): comparison sections, testimonials, detailed feature breakdowns
• Bottom-of-funnel (retargeting): stronger discounts, urgency, cart-focused pages, “Get Offer/Shop Now,” heavy proof stacking

You can’t confirm targeting inside Meta Ad Library for most advertisers but you can infer funnel stage from the experience.

13) Turn observations into a testable idea (the output that matters)

Don’t stop at “they use UGC” or “they offer free shipping.” Convert your notes into a test hypothesis that you can run:

• Change one variable at a time (hook, proof type, offer framing, landing-page headline, CTA)
• Keep the logic tied to what you observed (message match, friction removal, proof placement)

Practical Example: Breaking Down One Competitor Ad Into a Funnel Hypothesis

Framework step	What you observe in a competitor ad	What it suggests	Your test idea
Ad Hook	“Still losing leads after demos?” (short video opener)	They’re targeting a clear pain point + urgency	Test a pain-first hook for the same audience segment
Problem	Lead leakage / follow-up gaps	Audience likely sales-led, feeling operational friction	Create 2 variants: “lost leads” vs “slow follow-up”
Promise	“Automate follow-ups in 5 minutes”	Speed/ease positioning	Test speed promise vs accuracy/reliability promise
Creative	UGC/talking-head + screen recording	Blends trust + product clarity	Produce a hybrid creative: face + quick UI demo
Proof	“4.8★ rating” + 2 quick testimonials	Social proof is doing heavy lifting	Move 2 testimonials above the fold on landing page
Offer	“14-day free trial”	Lower-friction entry	Test free trial vs “book a demo” (if sales-led)
CTA	“Start Free Trial”	Direct activation intent	Align CTA wording across ad + landing page
Landing Page	Trial-focused page (not a blog) with pricing visible	They want immediate activation	Use a dedicated trial page instead of a generic homepage
Message Match	Headline repeats “Automate follow-ups fast”	Strong continuity reduces drop-off	Mirror the ad promise verbatim in hero headline
Funnel Stage	Likely mid-to-bottom funnel (trial activation)	Warmer traffic or high-intent cold traffic	Run as two ad sets: prospecting + retargeting with different proof intensity
Final Test Hypothesis	—	—	“If we keep the same hook → same headline → same CTA, we’ll increase click-to-signup rate by reducing mismatch friction.”

This is the difference between casually browsing competitor ads and using Meta Ad Library competitor analysis to extract funnel mechanics you can validate with your own testing.

How to Find Political Ads Meta Is Tracking (and What to Look For)

If your goal is to find political ads Meta hosts in the transparency system, use the ad category filter for Issues, Elections or Politics.

In that category, Meta typically provides more transparency than standard commercial ads, which may include:

• “Paid for by” disclaimers
• Spend and impression ranges
• Geographic distribution (where impressions occurred)
• Additional advertiser identity signals (varies by region)

What to look for:

• Sudden increases in ad volume around events or deadlines
• Message testing across multiple creatives with the same theme
• Regional targeting patterns suggested by distribution data

This is valuable for researchers, journalists, advocacy groups and anyone doing brand-safety due diligence around political messaging ecosystems.

Meta Ad Library Benefits (Marketing, Research and Strategy)

The practical meta ad library benefits depend on who you are:

• For marketers: faster creative research, better briefs, smarter angle selection and clearer competitor positioning
• For founders: validate whether your offer and message are distinct or commodity-like
• For agencies: quick audits and competitive snapshots you can turn into recommendations
• For researchers and the public: stronger meta ad library transparency around certain influential ad categories

The biggest benefit is speed: you reduce guesswork by grounding decisions in what’s actually being promoted in the market.

Limitations, Pitfalls and Ethical Use

Treat Meta Ad Library as directional intelligence, not a performance dashboard.

Common pitfalls:

• Assuming “long-running” means “winning.” Some ads run at low spend or to limited audiences.
• Ignoring context. A retargeting ad can look “weird” without seeing the prospecting funnel that feeds it.
• Over-indexing on aesthetics. Visual style matters, but offers and angles usually matter more.

Ethical use guidelines:

• Use the library for learning and differentiation not cloning.
• Avoid lifting branded elements, claims, or testimonials.
• When researching politics, be careful not to amplify misleading narratives by reposting or misquoting content.

FAQ: Meta Ad Library (Quick Answers)

Conclusion: Turn the Meta Ad Library Into a Weekly Advantage

The Meta Ad Library is more than a transparency archive it’s a practical research engine. When you approach it with a repeatable workflow, you can run better Facebook Ad Library search and Instagram Ad Library search sessions, uncover messaging patterns and execute smarter meta ad library competitor analysis without copying.

Use it weekly. Track competitor angle shifts, document offers, and turn what you find into 2–3 testable hypotheses. Over time, the compounding effect is significant your creative gets sharper, your positioning gets clearer and your strategy becomes grounded in real market behavior rather than assumptions.

If you want, share your niche (e.g., SaaS, eCommerce, local services) and 3 competitor names I can tailor a filled-in version of the table and suggest 10 specific ad angles to test.