What is in each industry playbook?
An industry page answers the questions a general outbound guide cannot: who in this market signs, what makes them buy this month rather than next year, where that moment shows up in public, and what they need to see before they reply. Each playbook works through those questions with its own examples, in roughly these parts:
- The buyer. Who uses the product or service, who pays for it, and how that changes with company size.
- The triggers. Events that create a need, linked to the buying signals behind them.
- A worked example. A fictional ideal customer profile, one signal and the first lines of an email, with the reasoning.
- Proof and objections. What buyers in that market distrust, and honest answers to the questions they raise.
- The calendar. Budget cycles, school years, plan years or renewal dates, where they shape the timing.
- What to measure. The ratios to compute from your own pipeline, without borrowed benchmarks.
Which playbook fits what you sell?
Pick the row closest to your offer. The right column is the first moment to watch for; each playbook lists several more and explains how to find them.
| If you sell… | Playbook | The moment to watch for |
|---|---|---|
| Software to teams that already use a competitor | SaaS | A renewal, a price change or a team asking what to use instead of its current tool |
| An AI product that automates one workflow | AI startups | A team describing in public the manual work you automate |
| Anything, as a pre-seed to Series A company without a sales team | B2B startups | Founders in your market posting about the problem you solve, or launching this week |
| A tool engineers adopt before a manager pays for it | Developer tools | Engineers asking for a recommendation or leaving an incumbent |
| Security products to buyers who distrust vendor email | Cybersecurity | A first security hire, an audit on the way or a move to larger customers |
| Financial software to finance teams or institutions | Fintech | A first controller, a new legal entity or a move to a new ERP |
| HR, payroll or recruiting software | HR tech | Headcount reaching the point where spreadsheets and the current tool stop coping |
| Learning products to schools, colleges or training teams | Edtech | The planning window before the school or budget year, and new roles with a mandate |
| Marketing retainers | Marketing agencies | A launch with no plan behind it, an open marketing role or a complaint about a current agency |
| SEO services | SEO agencies | A site migration, a traffic drop or a move into a new country |
| Website design and rebuilds | Web design agencies | A round, a rebrand, a new product or a new head of marketing sitting on an old site |
| Custom software development | Software development agencies | Budget, a deadline and engineering roles that stay open |
| AI and automation projects | AI & automation agencies | A team describing repetitive manual work it wants gone |
| Managed IT and IT services | IT services & MSPs | Growth, a new office or a security requirement that outruns the current setup |
| Advisory or consulting work | Consultants | A process problem described in public, or a new leader with a mandate to fix one |
| Accounting, bookkeeping or tax services | Accounting firms | A new company, a round, or a finance process that breaks at month end |
| Legal services to businesses | Law firms | A new company, a funding round or an expansion into another state |
| Recruiting and staffing | Recruitment agencies | Roles that stay open, a hiring burst after a round, or a new location |
| Video production | Video production | A launch, a new product or a rebrand that has to be shown rather than described |
| Services to online stores | Ecommerce agencies | A platform migration, a new market or a store that has outgrown its setup |
How do software companies, agencies and service firms sell differently?
The 20 playbooks fall into three groups. Inside a group, the buyers differ; between groups, the whole sales motion changes.
Software companies
SaaS, AI, developer tool, security, fintech, HR tech and edtech companies sell a product the buyer will live with for years, usually against an incumbent, even if the incumbent is a spreadsheet. Signals of dissatisfaction or change carry the most weight here: a competitor complaint, a search for alternatives, a stack change. What varies inside the group is who signs and how long it takes: an engineer can try a developer tool this afternoon, while a district or a bank runs a review that lasts months.
Agencies and studios
Marketing, SEO, web design, software development, AI and automation, ecommerce and video agencies sell projects or retainers, and their buyers hear pitches from someone like them every week. Two things cut through: timing and a specific finding. Timing comes from events that create a project, such as a launch, a round or an open role. The finding is one thing you checked on their site or in their funnel, stated in a sentence. A generic audit offer and "we help companies like yours" are what this group has learned to delete.
Professional and IT services
Consultants, accounting firms, law firms, recruiters and IT providers sell trust, often for years, and buyers rarely switch on impulse. The useful moments are structural: a new company setting up its basics, an expansion into a new state, a hiring burst, a finance or IT process that broke under growth. Some of these professions also have rules on advertising and approaching prospective clients, so check what applies to you before you send.
You serve several industries. Which one should you prospect first?
Agencies and consultants often serve four or five markets and prospect all of them at once, which spreads proof, copy and attention thin. Pick one market for the first month and rank the candidates on five things you can check. The studio below is invented: a six-person web development studio choosing between SaaS startups, accounting firms and ecommerce brands, scoring each criterion from 1 to 5.
| Criterion | SaaS startups | Accounting firms | Ecommerce brands |
|---|---|---|---|
| Average project, from the studio's own past invoices | $25,000: scores 4 | $8,000: scores 2 | $15,000: scores 3 |
| Public moments you can find each month | Many launches, rounds and job posts: scores 5 | Few that are public: scores 2 | Platform moves, new markets, developer job posts: scores 4 |
| Can you name and verify the buyer? | Founder or CTO, usually findable: scores 4 | Managing partner, listed on the firm's site: scores 4 | Founder or ecommerce lead, sometimes hard to identify: scores 3 |
| Proof you already hold in that market | Three past SaaS clients: scores 4 | None: scores 1 | One store: scores 2 |
| Assumed time from first call to signature | Three to six weeks: scores 4 | Two to three months: scores 2 | Four to eight weeks: scores 3 |
| Total out of 25 | 21 | 11 | 15 |
Reach companies with a reason to buy this week
Startories finds the buying signal, verifies the decision-maker and runs the outreach until they book a call.
How were the playbooks built?
Each playbook applies the same method to a different market, so the advice comes from the buyer rather than from a template with the industry name swapped in.
Start from who signs
We separate the user from the buyer and note how both shift with company size. In security, ownership moves from the CTO at a startup to the CISO at an enterprise; in edtech it can be a teacher, a district committee or a corporate training lead.
Map each trigger to a public trace
A trigger only helps outbound if it shows up where you can see it: a job post, a launch page, a founder post on X, a Reddit thread, a directory listing, a search result. Triggers that live only in private conversations are left to your network.
Write a fictional ICP and a first email
Every page includes an example with invented companies and stated assumptions, so you can follow the reasoning without mistaking it for a case study.
List the objections buyers actually raise
Price, timing, an incumbent, a bad experience with a past vendor, compliance. Each comes with an honest answer, and with the cases where you should stop pushing.
Note the rules of the market
Student data privacy in edtech, claims that must survive a compliance review in fintech, fear-based pitches that backfire in security. Commercial email in the US also follows the CAN-SPAM Act in every industry (FTC compliance guide).
Measure with your own numbers
We do not quote industry benchmarks we cannot source. Each page names the ratios to compute from your own pipeline instead.
Which buying signals matter in which industries?
The same ten signals run through the playbooks, but each one is strong for some sellers and noise for others. Use this as a starting point; your playbook explains the reasons.
| Signal | Strongest for | Why it works there |
|---|---|---|
| Competitor complaints | SaaS, fintech, cybersecurity, marketing agencies | The buyer already pays for the category, and the current vendor or agency is failing them |
| Alternative seekers | SaaS, developer tools | The decision to leave is made; only the shortlist is still open |
| Tool recommendation requests | SaaS, AI startups, developer tools, edtech | A stated need with no vendor yet, often with a deadline |
| Product launches | Marketing, web design and video agencies, B2B startups | A team just shipped, and traffic, conversion and a demo are next on the list |
| Hiring signals | HR tech, recruitment, cybersecurity, marketing agencies | Budget approved for a problem, with an owner named in the job post |
| Funding signals | Software development agencies, recruitment, accounting and law firms | Fresh money and a stated plan, best paired with a second signal |
| Tech stack changes | SEO agencies, fintech, IT services, ecommerce agencies | A migration reopens every vendor around the system being replaced |
| Business expansion | HR tech, fintech, law firms, IT services | A new state, country or office creates needs that did not exist last month |
| Pain-point posts | Consultants, AI and automation agencies, accounting firms | A process problem described before anyone has shopped for a fix |
| New companies | Accounting and law firms, web design agencies, developer tools | A founder setting up the basics, with choices that tend to stick for years |
How many leads does your industry need? A worked example
Deal size decides how much research each lead can carry. A firm that signs $3,000-a-month retainers can afford to read every lead closely and write each email by hand. A product sold for a few hundred dollars a month needs far more meetings for the same revenue, and a lighter touch per lead. Work backward from revenue, with your own rates.
The example compares two sellers who each want $36,000 of new annual contract value every month. Every rate in it is an assumption to replace with yours.
| Step | Agency selling a $3,000/month retainer | SaaS selling a $6,000/year plan |
|---|---|---|
| New annual contract value wanted each month | $36,000 (one client kept for a year) | $36,000 |
| Deals needed per month | 1 | 6 |
| Assumed close rate from a qualified meeting | 1 in 4 | 1 in 5 |
| Qualified meetings needed per month | 4 | 30 |
| Assumed meetings per 100 leads contacted | 2 | 2 |
| Leads to contact per month | About 200 | About 1,500 |
What mistakes sink outbound in a specific industry?
- An ICP that is only an industry. "B2B SaaS, 10 to 200 people" is a filter, not a reason to buy. Add the event that makes a company need you now; the ICP template shows how.
- Writing to whoever posted. The engineer who complains about a tool, or the teacher who asks for one, is often not the buyer. Find the person who owns the budget and write to them about the situation.
- Proof from another world. A logo from a different industry, or a result from a much larger client, makes buyers doubt the rest. Use proof from their market, or offer something small they can check.
- Fear as an opener. Breach news in security, audit threats in finance and lawsuit warnings in HR read as pressure, and they get you remembered for the wrong reason.
- Ignoring the calendar. Schools plan before the school year, benefits teams before open enrollment, many software buyers at renewal. A good email in the wrong month waits in a folder.
- Claims that will not survive review. In regulated markets, every number and compliance statement may be checked. Write only what you can document.
- Reaching consumers or sole traders. Many public posts come from individuals. B2B outreach belongs at verified business addresses of companies that fit your profile.
How do you start lead generation in your industry?
Pick one offer, one segment and one signal from your playbook, and run them for a month before adding anything. The cold email templates give you structures for the first message, and how to find B2B leads covers the sources that suit each type of business.
Startories runs that loop for you. It watches Reddit, X, Product Hunt, startup and industry directories and search results built for your niche, ties each signal to a company in your ICP with the reasons written out, verifies the decision-maker and sends personalized email from dedicated, warmed-up inboxes on separate domains. You can approve every email before it goes out. Agencies and consultants use it as AI lead generation for their own pipeline.
Starter costs $99 a month for one funnel and one ICP, and your first project starts with a 3-day full-access trial for $1. If you would rather have it built for you, done-for-you setup costs $1,500 to $2,500 once, and fully managed acquisition starts at $1,999 a month. See plans and pricing.
Frequently asked questions
Which industries is Startories built for?
B2B companies with a clear buyer and deals worth at least several hundred dollars: SaaS and AI companies, marketing, SEO, development and AI agencies, consultants and other B2B services. It is not built for consumer outreach, and it does not run LinkedIn or phone campaigns.
My industry is not listed. Which playbook should I read?
Read the playbook whose buyer looks most like yours. A B2B services firm selling to startups will find the accounting or law firm pages useful; a vertical software company will find the SaaS page closest. The signal pages then show which events to watch.
Can I target several industries at once?
You can, but run them as separate funnels, each with its own ICP, signals and copy. A message written for a school district reads oddly to a fintech controller, and mixed funnels hide which segment actually produces meetings.
Does lead generation work the same for agencies and software companies?
The pipeline is the same: signal, company, decision-maker, verified email, message, reply. The content differs. Agencies win with timing and one specific finding; software companies win by catching the moment a buyer starts questioning its current tool.
Is cold email allowed in regulated industries?
In the US, B2B cold email is allowed when it follows the CAN-SPAM Act: honest headers and subject lines, a physical address and a working opt-out. Regulated sectors add rules on what you may claim, so have your compliance or legal advisor review your messaging.
How long before an industry funnel shows results?
Plan for a few weeks of inbox warm-up before real volume, then at least 30 days of sending so full sequences run. In security, edtech or banking, long buying cycles mean meetings can take months to turn into revenue.