The founder's notebook
Akshat's LinkedIn Notes
on B2B Growth
Useful lessons from building outbound campaigns, testing AI workflows and helping B2B buyers move forward.
A reply creates a conversation. The work after that determines whether it becomes a sale.
Across my work at BizAmps, I keep returning to the same questions: Are we reaching the right company? Does the message make sense for that buyer? Have we shown enough proof? Is the next step easy to take?
This notebook brings together selected LinkedIn posts from the last six years. Each note has a short takeaway and the original post, so you can explore the examples and discussion in context.
These are historical notes. Tool names, prices and platform rules in the original posts reflect when they were written. The takeaways below are edited summaries.
AI and CRM workflows
AI outreach needs a review trail
Personalized outreach becomes risky when you cannot see which evidence produced each message. After testing AI on a batch of 150 messages, I found that reviewing the reasoning and source material mattered as much as generating the copy. Keep the evidence, qualification decision and final message visible together.
An account of a specific test. Model names and performance reflect the original post.
View the original LinkedIn post
A seven-step workflow to reactivate old CRM leads
Start with stale companies, gather the relationship history, classify the account, identify the right person and decide whether another conversation makes sense. Then use an approved follow-up approach and create a draft for a salesperson to review. The useful output is a reason to reconnect, supported by context.
View the original LinkedIn post
The questions to answer before building lead reactivation
Before building, map your CRM access, email and meeting history, preferred tools, review process and guardrails. Keep account context, classification, message strategy and human review as separate steps. This post includes a starter prompt for working through those decisions before writing code.
View the original LinkedIn post
Budget time for making an AI workflow dependable
My signal-based HubSpot follow-up system took months of iteration to reach a usable standard. A working first version still needs evidence checks, exception handling and a review process before it can face customers. Allow time for that work when planning an internal AI tool.
My experience with one project, rather than a universal delivery estimate.
View the original LinkedIn post
Classify CRM contacts using company context
Combine company information, the person's role and previous interactions to classify a CRM contact. Store a short explanation alongside the label. A useful classifier distinguishes prospects, customers, influencers, vendors, poor fits and cases that still need review.
View the original LinkedIn post
Match the AI model to the judgment required
Extraction and cleanup are different tasks from deciding whether a person is worth approaching. In my qualification experiment, repeated prompt changes could not make a smaller model consistently handle the judgment required. Test models on real decisions and inspect the errors before choosing on cost alone.
Historical test results. This is not a current model ranking.
View the original LinkedIn post
The missing context behind an AI-built tool
Building a simple browser extension showed me how much an AI tool can already contribute to feature choices and usability. The harder gaps appeared around undocumented knowledge and complex systems. Write down the business rules and exceptions the tool cannot learn from public documentation.
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Ask AI what could go wrong with your plan
Give an AI assistant a structured plan and ask it to identify blind spots and missed opportunities. Treat the answer as a list of questions to investigate before execution. The value starts with making the plan specific enough to challenge.
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Demand and pipeline
Book conversations before the conference
A booth gives buyers somewhere to meet you. Pre-event outreach gives them a reason to visit. Introduce the relevant problem, start conversations and book meetings before the event, then use the conference to continue those conversations in person.
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A reply is the beginning of the sales work
Curiosity still has to become trust, consideration and a buying decision. Useful proof, nurture, personal follow-ups and a low-risk starting offer help a lead move through those stages. Count replies honestly, then build the steps that can turn them into revenue.
View the original LinkedIn post
Give buyers a reason to know you exist
Many potential buyers have little awareness of a supplier or its approach. Connect outbound with events, partnerships or useful content to introduce the problem and your relevance. Follow that with consistent nurture so the conversation has somewhere to go.
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Earn a place on the buyer's mental shortlist
Specific use cases and memorable frameworks help buyers recall you when a relevant problem appears. Repeated, useful contact builds familiarity over time. Make it easy for someone to explain what you help with and why your approach is worth considering.
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Build the buyer journey before adding outreach volume
Map the path from an initial message to helpful information, proof of expertise and a conversation. Each step needs to give the buyer a reason to continue. Increasing email volume or team size has limited value when that path remains unclear.
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Let marketing help sales move the conversation forward
Sales can open a conversation around a specific problem. Marketing can then provide a relevant demo, clear information and nurture that helps the prospect evaluate the offer. Sales re-engages when the buyer shows interest in the next step.
View the original LinkedIn post
Use outbound to introduce useful content
Reach the right buyers, share a useful piece of content and give interested people a way to continue the conversation. A keynote, walkthrough or practical guide can make an introduction more useful when the audience is well chosen.
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Messaging and proof
Check the content and the offer at every sales step
A cold email, demo, follow-up and sales call each combine information with an invitation to act. When a prospect stalls, inspect both: does the content answer the right question, and is the proposed next step worthwhile and easy to take?
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Show the outcome your SaaS can deliver
Choose a high-impact use case and demonstrate the change your product creates. Show the problem, the steps and the outcome in a focused video. Give the buyer a concrete answer to what they could accomplish with the product.
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Make an intangible service easier to understand
Buyers cannot always try a service before committing. A clear process, a credible story and visible evidence help them understand the experience and outcome they are buying. Make the work easier to picture before asking the buyer to value it.
View the original LinkedIn post
Look for the problem behind a polite rejection
In the anonymous client story in this post, an unresolved implementation problem was holding back a new purchase. The offer became more relevant when it addressed that obstacle. Listen for dependencies and internal concerns that a buyer may struggle to explain openly.
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Give buyers something specific to remember
A buyer who sees you as another interchangeable supplier has little reason to remember the conversation. Ask what they could repeat about your approach ten minutes later. Build the message around a clear problem, a distinctive method and relevant proof.
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Ask marketers to show the actual work
Claims about personalization and adding value are easier to assess when you can see the message, the insight, the content and the result. Use real examples to evaluate a campaign or a marketer's approach. Ask how the work was done and what the evidence supports.
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Choose proof that fits what you sell
A product walkthrough can help a SaaS buyer see a use case in action. A service buyer may learn more from hearing the process and a relevant client story. Choose the proof format that makes the outcome and the experience easier to understand.
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Outbound economics
Look beyond likes when judging a LinkedIn post
A post with few visible reactions can still bring the right people to a profile or website. Look for relevant attention and follow-on conversations alongside engagement counts. In this post, I describe using website visitor reports and retargeting to follow that attention.
A personal observation, not proof that every low-engagement post drives business.
View the original LinkedIn post
Budget for the whole outbound workflow
An outbound budget needs to account for data, outreach tools, research, AI usage and the person managing the process. List those costs before choosing the channel, then check whether the message and offer fit the market. Cheap individual subscriptions can still add up to a meaningful operating cost.
The original post contains historical prices and an approximate total. Use current quotes for budgeting.
View the original LinkedIn post
Respond to rising outbound costs with better execution
When reach becomes harder or more expensive, revisit data quality, relevance and team responsibilities. This early post describes investing in better contact data and giving each outreach task a clear owner. Those are useful questions to revisit whenever a campaign's economics change.
A historical account from 2021. Platform limits and tool prices in the embed are not current guidance.