Jeff Bullas

That’s the question that separates social media activity from social media strategy.

Short Answer: You measure ROI by tracking website conversions from LinkedIn using UTM parameters and by directly attributing leads who say they found you on the platform. Everything else is a vanity metric.

The goal is to draw a straight line from the content formats you post to the revenue they generate.

The most common mistake is to present follower growth or likes as a return on investment; they are not. First, the most reliable method is to attach UTM parameters to every single link you share in your text posts or video descriptions. This allows your website analytics to show you precisely how many people came from a specific post and, more importantly, how many of them converted into a tangible lead. Second, you must implement direct attribution, because not every lead will click a link. Add a mandatory ‘How did you hear about us?’ field to your website’s contact form to capture the people who see your image or video content, remember your brand, and then search for you directly. Third, you can then assign a lead value to every one of those conversions to calculate a real, defensible ROI that you can present to your leadership team.

Cheers,

Jeff

That’s the right area to focus on, as this is where advertising shifts from a gamble to a science.

Short Answer: The best practice is to use Matched Audiences to engage warm audiences. Focus on retargeting website visitors and uploading your existing contact lists for the highest return.

The core idea is to deliver your most valuable content formats to people who have already signalled their interest.

First, the most powerful strategy is website retargeting. You should install the Insight Tag and create a specific audience of people who visited a high-intent page, like your pricing page, and then serve them a tailored video testimonial or a compelling case study image ad. Second, you should regularly upload your contact and account lists from your CRM. This allows you to serve specific text-based ads to nurture existing leads or announce new services to past clients, which is far more efficient than cold outreach. Third, and most critically, you must use exclusions to avoid wasting your budget. Always upload a list of your current customers and exclude them from your lead generation campaigns. For your retargeting campaigns, you should also exclude people who have already converted. This simple step ensures your ad spend is focused only on acquiring new leads.

Cheers,

Jeff

Great point — your checklist and template are exactly the right starting place. Here’s a practical, non-technical way to add AI into that workflow so you get faster, cleaner case studies and true client quotes without losing the human voice.

Why use AI here: it speeds up pulling highlights from a short interview, helps you shape a results-first headline, and creates a tidy draft you can send to the client for approval. You still control facts and final tone.

What you’ll need:

• A 10–15 minute recorded client chat (phone or video) or clear notes.
• Client permission to use their story (and to record if you record).
• Access to a simple AI tool (copy/paste into Chat-style AI or any text assistant).
• A template: 1-line result, 2 short action lines, 1 client quote.

Step-by-step (do this):

1. Prepare 3–5 friendly questions: problem, main change you made, result (numbers/time/savings), how they feel, and one detail (time saved, % change, $ saved).
2. Record the 10–15 minute chat or take notes. Ask them for one short sentence they’d be happy to publish.
3. Paste the transcript or notes into the AI and run this prompt (copy-paste):

AI prompt (copy-paste):

“You are a helpful editor. From the text below, extract: 1) a one-line results-first headline (include numbers if mentioned), 2) three short bullet points: context (one line), actions we took (one line), measurable result (one line), and 3) a one-sentence testimonial quote that uses the client’s words and is suitable for publishing. Keep everything short, plain language, and honest. If a metric is unclear, say ‘metric unclear — confirm with client.’ Here is the transcript/notes: [paste transcript or notes].”

1. Use the AI output to draft your short case study: headline, 2 short paragraphs (context + actions, then results), and the one-sentence quote.
2. Run a second prompt to adjust tone if needed: “Rewrite to sound warm and direct, 30–45 words for paragraph one and 20–30 words for results, keep client quote unchanged.”
3. Send the draft to the client for a quick OK and permission to publish. Ask them to confirm numbers and the quote exactly as written.
4. Publish once they approve. Keep a copy of the approved quote for records.

Worked example (quick):

Transcript note: “Month-end closing took 10 days; introduced weekly 30-minute review; now 3 days.”

AI extracts: Headline: “Month-end closes cut from 10 days to 3 days.” Context/action/results: short bullets. Quote: “We now finish month-end in three days — the stress is gone.” Use that as-is with client sign-off.

Common mistakes & fixes:

• Mistake: Over-editing the client’s voice. Fix: Keep the original quote and only fix obvious grammar with the client’s permission.
• Mistake: AI invents numbers. Fix: Ask AI to flag unclear metrics and always confirm with the client.
• Mistake: Long-winded copy. Fix: Use strict word limits in the prompt (30–45 words).

Simple action plan (next 48 hours):

1. Pick one recent client with a clear result.
2. Schedule a 10–15 minute call; record or take notes.
3. Run the transcript through the AI prompt above.
4. Send the draft to the client for approval.
5. Publish the approved short case study on your site or email.

Reminder: Use AI to speed the work, not replace the client’s voice or your honesty. One small, approved case study published today beats a perfect library you never finish.

Nice quick-win tip — under 5 minutes is the right mindset. Generate a handful of ideas, pick two, and schedule them now. That small win builds momentum and gives you immediate data.

Here’s a compact, practical plan to turn that quick win into a repeatable quarterly calendar organized by persona — with clear inputs, steps, what to expect, and copy-paste prompts you can use right away.

What you’ll need

• 1–3 persona summaries (role, top 2 goals, top 2 pain points, preferred channel, one customer quote).
• Quarter goals and 2–3 KPIs (e.g., leads, CTR, MQLs).
• Content inventory and a simple calendar (spreadsheet works).
• An AI assistant for ideation + a human reviewer to add customer voice.

Step-by-step (do this in one session)

1. Set 3 monthly themes tied to the quarter goal (one sentence each).
2. Assign a primary persona to each theme and one primary channel.
3. For each persona+theme, ask AI for 6 ideas across formats; pick 1–3 pillar pieces.
4. Schedule pillar publish dates, owner, KPI, and repurpose plan (3–5 snippets per pillar).
5. Batch-produce the first pillar and immediately generate social posts, email subject lines and CTAs from it.
6. Run biweekly review: track KPI, keep what’s working, re-prompt AI to refine weak topics.

Short example

• Persona: IT Manager — Goal: reduce downtime; Pain: complex integrations; Channel: LinkedIn.
• Theme (April): Simplify integrations. Pillar: “Checklist: 7 steps to cut integration time by 50%.”
• Repurpose: LinkedIn carousel, one-page checklist PDF, 3 email subject lines, short webinar.

Common mistakes & fixes

• Too many messages — limit to 2–3 per persona. Fix: prune by expected impact.
• Vague personas — weak copy. Fix: add one real customer quote or support line.
• Over-trusting AI — tone mismatch. Fix: always do a customer-voice pass before publishing.

1-week action plan

1. Day 1: Finalize persona and quarter goals (30–60 min).
2. Day 2: Pick 3 themes and map personas (30 min).
3. Day 3: Use AI for ideas; pick pillars (60 min).
4. Day 4: Schedule pillars + assign KPIs (45 min).
5. Day 5: Batch brief pillar 1 and start drafting or ask AI for an outline (60–90 min).

Copy-paste AI prompt (primary)

“You are a senior content strategist. Persona: [role; top 2 goals; top 2 pain points; preferred channel; one customer quote]. Theme: [monthly theme]. Generate 8 content ideas across formats (1 long-form article, 1 checklist, 1 webinar idea, 3 social posts, 1 email, 1 downloadable asset). For each idea give: format, one-sentence angle, 3 headline options, a primary KPI to track, and estimated effort (low/med/high). Use practical, plain English and keep the voice aligned to the persona.”

Prompt variants

• Fast variant: “Give 6 quick content ideas for [persona summary] about [theme]. Mark top 2 to schedule this week.”
• Repurpose variant: “Take this pillar title: [title]. Produce 5 social posts, 3 email subject lines, and 2 CTAs tailored to [persona].”

What to expect

• First drafts need human editing. Expect usable ideas in 10–30 minutes.
• After one quarter you’ll have clearer signals on 2–3 KPIs and a repeatable process.

Start with the 5-minute quick win now: run the fast prompt for one persona and schedule the top two ideas into your calendar. Small actions compound.

All the best,Jeff

Moving from guesswork to a data-driven content strategy is the single best way to grow.

Short Answer: The simplest way to A/B test is to post two similar pieces of content at the same time on different days, changing only one variable you want to test and then comparing a single key metric.

This methodical approach allows you to gather real data on how the different ways you present your video, image, and text content affects your performance on Instagram.

The golden rule of A/B testing is to isolate one variable. If you want to test a caption hook, for example, the visual content and the time you post must be as similar as possible for both tests. You also need to define what success looks like before you start by choosing one key metric to measure. For a hook, your success metric might be the number of comments; for a Reel, it might be the number of shares.

Here’s a simple process. Let’s say you want to test a Reel with a person versus a product-only video. On a Monday, post the Reel with a person. The following Monday, post the product-only Reel, using the same audio and a similar caption hook. After 48 hours, compare your chosen metric, for instance, the reach to non-followers. One test isn’t conclusive, but if you repeat this process a few times and a clear pattern emerges, you’ll have reliable data to guide your future content strategy.

Cheers,
Jeff

Quick start: Use AI to turn messy user research into clear, testable product hypotheses you can A/B test in weeks — not months.

Why this matters: Qualitative data hides the real product opportunities, but it’s noisy. AI can surface consistent themes and frame them as hypotheses with a measurable outcome. That helps teams move from insight to experiment faster.

What you’ll need

• Raw user research: interview transcripts, support tickets, session notes or survey open-ends.
• A simple spreadsheet or table with one quote per row and a unique ID.
• An AI tool (chat AI or API) you can paste text into.
• A shared doc where you’ll collect themes, hypotheses, and metrics.

Step-by-step

1. Gather: Put all open-ended responses into one column in a spreadsheet. Keep source (interview ID) in another column.
2. Quick clean: remove duplicates, anonymize names, and trim extremely long quotes to 1–2 sentences that capture intent.
3. Run theme extraction: Ask the AI to read the quotes and list common themes (3–6). Ask for short evidence bullets and representative quotes for each theme.
4. Translate to hypotheses: For each theme, convert into the template: If we [change], then [measurable outcome] because [user insight]. Ask the AI to suggest a primary metric and a simple experiment to test it.
5. Prioritise: Score hypotheses by impact, feasibility, and confidence (simple 1–3 scale) and pick 1–2 to test fast.
6. Design a quick experiment: define metric, sample, duration, and success threshold. Run, learn, iterate.

Example

• Theme: Confusing checkout flow. Evidence: 12 out of 30 users commented they weren’t sure what payment steps were required. Representative quote: “I didn’t know where to add the promo code.”
• Hypothesis: If we add a single-page checkout with a clearly labelled promo-code field, then conversion rate from cart to purchase will increase because users will find and use discounts more easily. Metric: cart-to-purchase conversion rate. Experiment: A/B test single-page checkout vs current flow for 2 weeks.

Common mistakes & fixes

• Mistake: Turning anecdotes into products. Fix: Require evidence count (e.g., at least 10% of users) before prioritising.
• Mistake: Vague outcomes. Fix: Always attach a measurable metric and a threshold for success.
• Mistake: Leading AI prompts that bake in your bias. Fix: Use neutral prompt language and ask the AI to justify each theme with quotes.

Action plan (next 7 days)

1. Day 1–2: Consolidate quotes into a spreadsheet and anonymize.
2. Day 3: Run the AI theme extraction with the prompt below.
3. Day 4: Convert themes to hypotheses, score and pick 1–2.
4. Day 5–7: Design and launch simple experiments (A/B or usability task), measure, then reconvene.

Copy-paste AI prompt (use as-is)

You are an expert product manager. I will give you a list of user quotes. For these quotes, do the following:
1) Identify 3–5 concise themes (title + 1-sentence evidence summary). 2) For each theme, provide one clear product hypothesis using this template: If we [product change], then [measurable outcome] because [user insight]. 3) Suggest a single primary metric and one simple experiment to test the hypothesis. Show the representative quotes that support each theme. Format as a numbered list.

What to expect: AI will give you draft themes and hypotheses — treat them like first drafts. Validate with counts from your spreadsheet and one quick pilot experiment before major development.

Start small, measure clearly, and let the data decide. Turn insight into action this week.

Thinking about Instagram Search in terms of SEO is exactly the right approach.

Short Answer: To rank higher, you must treat your account like a webpage and place your most important keywords in four key places: your searchable Name field, your bio, your post captions, and your image alt text.

The algorithm now reads all of these text-based inputs to understand the context of your visual image and video content, so you need to be strategic with every word you write.

You are correct, it’s about much more than just hashtags now. The single most impactful change you can make is to edit your ‘Name’ field in your bio. This field is highly searchable, so instead of just your shop name, it should be ‘Your Shop Name | UK Vintage Fashion’. This immediately tells the algorithm what you are.

Next, you need to write your bio and your individual post captions for both humans and the search engine. Naturally weave in keywords and phrases that your ideal customer would be searching for. The algorithm reads this text to determine the relevance of your content. For every photo you post, you must also write a descriptive alt text, as this is a direct, behind-the-scenes signal to the algorithm about what is in the image.

Finally, remember that engagement is also a ranking factor. A post that is well-optimised with keywords and also has high engagement signals like saves and shares will always rank higher than one with keywords alone.

Cheers,
Jeff