10 LinkedIn Value-Add Comment Templates for Growth & Marketing Leaders

Example

Good point on connected TV ads. One thing I'd add from working across early-stage DTC brands: the attribution problem is still mostly unsolved and most teams are flying blind on incrementality. The teams that get ahead of this tend to pair CTV with geo-based holdout tests rather than relying on platform-reported conversions. Still a lot of people sleeping on it.

Example

Respectfully disagree with part of this. The idea that every brand needs a community-led growth motion sounds compelling in theory. In practice, what I've seen is that community only compounds when you already have a critical mass of engaged users — it doesn't create that mass. The nuance that often gets missed: community is a retention and expansion lever, not an acquisition lever in most cases. Depends heavily on your product category and existing user density. Not saying the original take is wrong — just that context changes the answer a lot.

Example

This comes up a lot. The way I think about paid social budget allocation: the 'where to scale' question is really a signal quality question. Basically: are you reading platform signals correctly vs are you just reading platform-reported ROAS. Most teams default to scaling whatever the dashboard says is performing. The teams that consistently find scalable spend tend to validate incrementality before scaling, not after. Happy to dig into this more if useful.

Example

Seen exactly this play out at a Series B SaaS company I was advising. The idea that SEO compounds but paid doesn't is real — but only if you're building content around bottom-funnel intent from day one, not just traffic volume. What made it work for us was tying content topics directly to sales call transcripts rather than keyword tools alone. The part most people underestimate is how long it takes for internal linking structure to actually move rankings. Solid share.

Example

Worth flagging for anyone reading this: Meta recently expanded Advantage+ campaign automation to more placements with less manual override. The practical implication for performance marketers is that creative variety matters more than ever — the algorithm is making more decisions on your behalf. If you're running prospecting campaigns, you'll want to feed at least 6-8 creative variants per ad set rather than the old standard of 3-4. This is moving fast — keep an eye on how your CPAs shift in the first two weeks after switching.

Example

The benchmarks people cite for email open rates vary wildly by list quality and industry vertical. What I've generally seen across B2B SaaS: post-Apple MPP, open rate is nearly useless as a primary KPI. The more useful question is usually what's your reply rate or downstream conversion from email sequences. Absolute open numbers matter less than whether your emails are driving pipeline. Anyone anchoring on 40%+ open rates as a success signal is probably optimizing the wrong thing.

Example

The landing page conversion rate gets all the attention. The one most people miss: email follow-up sequence quality after the first opt-in. Specifically, the first 72 hours of onboarding emails shape whether a free trial user ever becomes an activated user — and most sequences are either missing entirely or templated to the point of being useless. I've seen this move trial-to-paid conversion materially more than almost anything else in product-led growth motions. The catch: it requires close collaboration between marketing and product, which is where most teams stall. Worth the lift if you're past early PMF.

Example

Every few years influencer marketing gets repackaged as new. The core idea — people buy from people they trust — is solid. What's actually different this time: the tools for measuring creator-driven attribution have gotten meaningfully better, and micro-creator CPMs are genuinely more efficient than they were in 2019. What's still the same trap: brands treating creators like ad placements instead of building actual relationships. The teams that extract real value from influencer partnerships are the ones that co-create content rather than brief and blast. The rest are going to produce expensive UGC that looks like every other sponsored post in the feed.

Example

The strategy here is right. The part that kills it in practice: getting sales and marketing aligned on lead quality definitions. Most teams hit the first MQL dispute and either loosen the criteria to hit volume targets or tighten them so much that pipeline dries up. What actually bridges the gap: a shared lead scoring model that both teams co-own and review monthly, not a marketing-built system handed over as a deliverable. This is less a marketing problem and more a revenue operations problem. The teams that get this right treat lead scoring as a living agreement rather than a one-time project.

Example

This is true for enterprise SaaS with long sales cycles. For mid-market self-serve products, the dynamic shifts because the buyer is also the end user, so bottom-of-funnel content needs to speak to usability and time-to-value rather than just business outcomes. And for consumer apps, the opposite is often true: feature-led messaging frequently underperforms emotional or identity-based positioning. The mistake is applying 'lead with outcomes, not features' universally when it really depends on who controls the purchase decision and how involved they are in daily use. If you're working with a PLG motion, the more relevant question is what friction exists between signup and the first meaningful value moment. One framework doesn't fit all stages or markets here.