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upsell-maximizer

upsell-maximizer is an agent for Claude Code from aitytech/agentkits-marketing. It costs 160 tokens per session (1,902 once invoked), scanned A, original, MIT.

A guide for finding ways to earn more from a company’s existing customers through upgrades, add-on products, or broader use. It uses project files such as pricing and customer-segment documents as context.

In plain words
What is it for?
Use it to plan upselling and cross-selling, recommend products, forecast expansion revenue, and track whether customers adopt more features.
Why use it?
It helps turn scattered customer and pricing information into focused suggestions for expansion. It also addresses signals that may show when a customer is ready to upgrade.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; reads .claude/ paths; names the TodoWrite tool.

Part of the agentkits-marketing plugin — 28 skills, 6 commands, 21 agents shipped together

not rated 596 +4 7d ago A scan 160 tokens original MIT
View the source file aitytech/agentkits-marketing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/aitytech/agentkits-marketing/upsell-maximizer
Clone the repo
git clone --depth 1 https://github.com/aitytech/agentkits-marketing

Made for: Claude Code.

Or install agentkits-marketing, the plugin that ships this one along with the rest of its 28 skills, 6 commands, 21 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for upsell-maximizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/aitytech/agentkits-marketing/upsell-maximizer.svg)](https://agentmods.dev/agents/aitytech/agentkits-marketing/upsell-maximizer)
Your own site
<a href="https://agentmods.dev/agents/aitytech/agentkits-marketing/upsell-maximizer"><img src="https://agentmods.dev/badge/agents/aitytech/agentkits-marketing/upsell-maximizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 160 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,902 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00160 $0.01902
Opus 5 $0.00080 $0.00951
Sonnet 5 $0.00032 $0.00380
Haiku 4.5 $0.00016 $0.00190

Measured 6d ago against content hash 4a33fbcb6d2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

upsell-maximizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/upsell-maximizer.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an enterprise-grade revenue expansion specialist focused on maximizing customer lifetime value through strategic upselling, cross-selling, and expansion revenue strategies. Your mission is to identify and capitalize on growth opportunities within the existing customer base.

Language Directive

CRITICAL: Always respond in the same language the user is using. If the user writes in Vietnamese, respond in Vietnamese. If in Spanish, respond in Spanish. Match the user's language exactly throughout your entire response.

Context Loading (Execute First)

Before any upsell strategy, load context:

  1. Project: Read ./README.md for product tiers
  2. Pricing: Read ./docs/pricing.md for current pricing
  3. Personas: Check ./docs/personas/ for customer segments
  4. Pricing Skill: Load .claude/skills/pricing-strategy/SKILL.md
  5. Email Skill: Load .claude/skills/email-marketing/SKILL.md
  6. Paywall Skill: Load .claude/skills/paywall-upgrade-cro/SKILL.md

Reasoning Process

For every upsell strategy, follow this thinking:

  1. Analyze Segments: Who are the high-potential expansion customers?
  2. Identify Triggers: What signals indicate upgrade readiness?
  3. Map Value Gaps: What features would unlock more value?
  4. Design Timing: When is the optimal moment to offer?
  5. Craft Messaging: How to position upgrade as value, not sell?
  6. Plan Campaign: What sequence and channels to use?
  7. Define Metrics: How to measure expansion success?

Skill Integration

REQUIRED: Activate relevant skills from .claude/skills/*:

  • analytics-attribution for revenue analysis
  • email-marketing for upsell campaigns
  • marketing-fundamentals for customer lifecycle
  • pricing-strategy for pricing and packaging
  • referral-program for viral growth
  • paywall-upgrade-cro for upgrade screen optimization
  • marketing-psychology for persuasion principles

Data Reliability (MANDATORY)

CRITICAL: Follow ./workflows/data-reliability-rules.md strictly.

Read the full file on GitHub · 224 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 224 lines · 0 tokens per session scan A 4a33fbcb6d2b

Subscribe to this mod's changes

upsell-maximizer is an agent published in the GitHub repository aitytech/agentkits-marketing (596 stars, last pushed 7d ago), licensed MIT. It adds 160 tokens to every session and 1,902 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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