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Running out of new angles for your Facebook ads? Start with what customers say after they have used your product, then turn those answers into creative ideas to test. For LinkedIn, use AI to help with drafting and repurposing—but keep human judgment in charge of voice, expertise, and quality. Here are practical approaches from Social Media Examiner’s October 6, 2026 briefing, plus its roundup of platform developments.
Find Facebook ad ideas in customer language
Instead of brainstorming in isolation, ask customers who have owned your product for at least 30 days what led them to buy and what they value. Their answers can reveal the problem they wanted to solve, the benefit they noticed, and language that sounds more natural than a marketer’s assumptions.
Ask questions that uncover motives and unmet needs
Send a short survey asking:
- What led you to purchase the product?
- What problem or pain point were you trying to solve?
- What do you like or value about it?
- What would you like the company to launch next?
- What other challenges do you face?
The article suggests offering respondents an entry into a $100 gift-card giveaway and announcing a winner about 48 to 72 hours after sending the survey email. This is a chance to win, not a gift card for every respondent. A survey service such as Typeform is one option; another survey method can work too.
Turn responses into angles to test
Look for repeated phrases, motivations, and desired outcomes. Use them to draft alternative hooks, customer avatars, and desire statements for ad creative. The useful loop is straightforward: ask, listen, extract customer language, create several angles, test them, and learn from the results. The article recommends generating candidates this way; it does not establish a particular test design or guarantee better ad performance.
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Use public discussions as a secondary source
When customer surveys have not yielded enough language, the article’s contributor Nick Theriot suggests searching Reddit for discussions related to the audience’s profile, pain point, or desired benefit. Treat those posts as qualitative inspiration, not representative customer research. Public comments may not reflect your buyers, and phrasing that works in a discussion may not fit your offer or brand.
Use LinkedIn AI without losing the human voice
In the episode covered by Social Media Examiner, B2Linked founder and The LinkedIn Ads Show host AJ Wilcox joins Michael Stelzner and Jerry Potter to discuss AI across LinkedIn content and advertising. The central practical distinction is between using AI to assist with parts of production and letting it replace the judgment that makes content specific, credible, and recognizably yours.
Keep expertise and review in the process
The conversation addresses AI-assisted writing, content that can come across as low-quality or generic, and the role of human input. A useful approach is to use assistance for drafting or organizing ideas, then review for factual accuracy, useful detail, audience fit, and your own voice. The episode summary does not establish a universal rule for identifying AI-written posts or a guaranteed formula for successful LinkedIn content.
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The article discusses a comment-first approach: contribute to relevant conversations rather than relying only on publishing posts. It also raises personalized comment visibility, timing, and using a follow-up question to continue a discussion. These are ideas to consider, not a verified posting schedule or promise of reach. Choose conversations where you can add something substantive, and make any follow-up question relevant rather than automatic.
Repurpose livestreams carefully
The episode discusses LinkedIn’s AI clipping tool for livestreams and the possibility of turning a live broadcast into shorter pieces of content. It also considers whether producing a livestream solely for its clipping potential is worthwhile and what busy executives might do if they do not want to record. Treat these as topics raised in the episode, not step-by-step product instructions or a guarantee that one livestream will provide a month of useful posts.
Balance variety and cost in LinkedIn ads
The episode examines whether adding more ad variations can improve click-through rates, alongside the cost and effort of producing too many creatives. It also discusses AJ Wilcox’s recommended number of ads per ad set and a video format he says performs well in his tests. The public summary does not give the specific ad count or detailed test data, so there is no supported universal number to apply here.
For your own planning, weigh how much meaningful variation you can produce against your budget and the learning cost of spreading spend across more creative. Change angles or formats when there is a clear reason to do so; more versions alone do not establish that results will improve. LinkedIn’s marketing resource directory includes an April 6, 2026 article on designing, editing, and launching campaigns using Canva. Its B2B research hub also presents a 2025 benchmark series covering social trust, video and influence, AI, content marketing, industry trends, and measurement. These are resource paths, not evidence that a tactic works for every advertiser.
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In a January 28, 2026 newsroom post, Meta reported outcomes from ranking and ad-system changes during Q4 2025. These are Meta’s own figures, not independent evaluations or forecasts for an individual advertiser.
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| Metric | Meta’s reported result | Period and scope |
|---|---|---|
| Views of organic Facebook feed and video posts | 7% lift | Q4 2025; Meta-reported |
| Same-day Facebook Reels surfaced | More than 25% more | Q4 2025 compared with Q3 2025; Meta-reported |
| Facebook ad clicks and Instagram conversions after ranking improvements | 3.5% lift in Facebook ad clicks; more than 1% gain in Instagram conversions | Q4 2025; Meta-reported |
| Conversion rates after a new runtime model | 3% increase | Instagram Feed, Stories, and Reels in Q4 2025; Meta-reported |
| Facebook ads quality after Meta Lattice consolidation and backend improvements | 12% increase | Q4 2025; Meta-reported |
| Incremental conversions versus Meta’s standard attribution model after a model rollout | 24% increase | Q4 2025; Meta-reported |
The metrics describe different systems and outcomes, so they should not be compared as if they measured the same thing. None establishes the lift a particular advertiser should expect. Meta’s January 28, 2026 post provides the company’s account.
A separate Meta post dated November 10, 2025 covered Reels Trending Ads’ introduction in Canada. Meta reported an early unaided-awareness lift of 20% in that context. The post also reported 15% lower cost per result for Advantage+ Audience awareness campaigns and early value-rules results showing twice as many high-value conversions compared with business-as-usual campaigns. Those are company-reported results, not independent benchmarks; the Reels Trending Ads context is explicitly regional. See Meta’s November 10, 2025 post for its account.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Platform developments reported in October 2026
Social Media Examiner’s October 6, 2026 roundup reports developments involving a Facebook Groups companion app called Forum; Instagram Edits AI assistant and live-video boosting; Meta Muse and its enterprise platform; Reddit RSS and public API access changes; Threads live-chat and editing features; and YouTube Shorts recommendations focused on original material. These are items as summarized by the article, rather than a substitute for the platforms’ own announcements. Features and data-access timelines can change, so check the relevant platform’s original announcement before relying on availability or policy details.
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Choose the right input for the job
| Approach | Best use | What to watch |
|---|---|---|
| Survey existing customers | Firsthand reasons for purchase, product value, and unmet needs | Ask people with at least 30 days of product experience; answers reflect respondents, not necessarily the entire market |
| Search public discussions | Additional phrasing and context around a pain point or desired benefit | Use as qualitative input, not representative evidence or a substitute for customer feedback |
| Comment-first LinkedIn participation | Joining relevant conversations with useful contributions | The article does not establish a universal schedule or performance guarantee |
| Livestream and repurpose clips | Creating shorter material from a live event when the event is worthwhile on its own | The episode discusses clipping but does not provide verified product instructions or prove a month of content will result |
| More LinkedIn ad variations | Exploring distinct creative angles when production and budget allow | The article summary does not disclose a recommended count or detailed test evidence |
The article also includes Kristin Bowen’s comment: “Chatting with complete strangers who are my people, who get what I do, is the best part.” It does not identify her role in the excerpt, so the quote is best read as a personal reflection rather than a sourced performance claim.
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