Why software categories stop meaning what buyers think

Between 2013 and 2021, Salesforce spent more than $55 billion buying ExactTarget, Demandware, MuleSoft, Tableau, and Slack. Each acquisition was described as expanding or completing the Salesforce platform.

The CRM still did not stay one thing.

In 1999, a CRM was a contact database with a pipeline view. In 2026, depending on the vendor, CRM can mean sales pipeline, marketing automation, customer data, support, chat, analytics, integration, AI agents, or revenue workflows.

The word survived. The product underneath changed.

That is normal. Software categories are useful when they are young. Then they stretch, split, get acquired, get renamed, and eventually stop describing what buyers think they describe.

The category lifecycle

A software category starts as a useful name for a real problem.

CRM helped companies stop tracking sales in spreadsheets. CDP helped marketers think about customer data. iPaaS helped teams name the integration problem. Observability helped engineers combine logs, metrics, and traces. Headless CMS helped teams publish content across channels.

For a short time, the category name, the buyer's problem, and the vendor's product match.

Then the work moves.

Operators find new bottlenecks. Vendors add features. Startups split off narrower use cases. Incumbents buy them back. Analysts stretch the definition. Marketing teams attach the latest buzzword. By renewal time, the category name may still be the same, but the product and the buyer problem have moved.

Why AI accelerates category decay

AI makes this worse because it makes feature copying cheaper.

When a new workflow becomes popular, vendors can add a draft assistant, a chat panel, an automation builder, or a summary feature faster than before. The product page changes quickly. The underlying workflow often does not.

That creates a buyer trap. A CRM with an AI assistant is still a CRM if the customer record, campaign work, finance numbers, and approvals stay separate. An attribution tool with AI summaries is still an attribution tool if it cannot prove the revenue join. A CMS with AI copy generation is still a CMS if the page does not know the offer, test, audience, approval, and result.

The question is not whether the vendor has AI. Most vendors will. The question is whether the work itself changed.

The five ways categories decay

1. Fragmentation. A successful category splits into smaller categories. CRM split into sales engagement, revenue intelligence, customer success, ABM, enablement, RevOps, and more.

2. Acquisition bloat. Incumbents buy the fragments and sell them as one platform. The logo is one. The data models, permissions, and workflows often are not.

3. Meaning drift. Vendors use the same category name for different products. "CDP" can mean event collection, marketing data, warehouse activation, identity stitching, or campaign coordination.

4. Naming inflation. When the category stops differentiating, every vendor adds the new word. AI-powered, AI agents, composable, real-time, no-code, platform. The new word works until everyone uses it.

5. Lock-in. Buyers stay because leaving costs more than staying. A CRM migration can take 18 to 36 months and cost millions. The product may no longer fit, but the renewal is cheaper than the rebuild.

Why this matters to buyers

Buying by category name feels safe. It can also be lazy.

Two tools in the same category may solve different jobs. A vendor can lead an analyst quadrant and still be wrong for your workflow. A product can call itself a platform and still require the buyer to stitch together the most important work.

The better question is not "what category are you in?"

The better question is: "What work does this let our team do that is painful today?"

For Lyberty's market, that work is concrete: plan, build, launch, measure, learn, and automate revenue work across initiatives, offers, pages, ads, email, attribution, spend, orders, refunds, payouts, COGS, margin, approvals, decisions, playbooks, and workflows.

The buyer test

A useful category should help a buyer predict the work the product will make easier. If it cannot do that, the category is mostly a search term.

Before accepting a category label, a buyer should ask:

• What daily workflow gets faster?
• Which current tools does this reduce or coordinate?
• Which numbers does it make more reliable?
• Which handoffs disappear?
• Which decisions can be made sooner?
• Which team owns the outcome?
• What remains manual after the product is installed?

This is especially important for broad labels like platform, automation, AI, analytics, and customer data. The labels are not wrong. They are incomplete. A buyer should force them back into the work.

What Lyberty does

Lyberty should not be evaluated as "another dashboard," "another CRO tool," "another attribution tool," or "another AI assistant."

Those labels each capture a piece. None captures the workflow.

Lyberty is built around revenue execution: the work that connects a goal to a plan, a plan to assets, assets to a launch, a launch to measured results, measured results to reusable learning, and learning to the next automated action. The first wedge is ecommerce growth execution because the loop is fast, measurable, and fragmented.

If the category language changes, the workflow does not. Teams will still need to plan initiatives, build offers, pages, campaigns, emails, journeys, experiments, and budget moves, launch them across channels, trust the numbers, keep the lesson, and automate the next safe step.

What to do when buying software

1. Start with the workflow, not the category.
2. Ask which tools the workflow touches today.
3. Ask which IDs, metrics, and decisions have to agree.
4. Ask what the vendor replaces and what it only reports on.
5. Estimate the cost of leaving before signing the contract.

Category names help you search. They should not make the buying decision.

Sources

1. Salesforce to Acquire ExactTarget. Salesforce, July 12, 2013. https://investor.salesforce.com/press-releases/press-release-details/2013/salesforce-acquires-exacttarget/default.aspx
2. Salesforce Completes Acquisition of Demandware. Salesforce 10-K, fiscal year 2017. https://investor.salesforce.com/financials/
3. Salesforce Completes Acquisition of MuleSoft. Salesforce, May 1, 2018. https://investor.salesforce.com/press-releases/press-release-details/2018/Salesforce-Completes-Acquisition-of-MuleSoft/default.aspx
4. Salesforce Completes Acquisition of Tableau. Salesforce, August 1, 2019. https://investor.salesforce.com/press-releases/press-release-details/2019/Salesforce-Completes-Acquisition-of-Tableau/default.aspx
5. Salesforce Completes Acquisition of Slack. Salesforce, July 21, 2021. https://investor.salesforce.com/press-releases/press-release-details/2021/Salesforce-Completes-Acquisition-of-Slack/default.aspx
6. Salesforce Announces Agentforce. Salesforce, September 12, 2024. https://www.salesforce.com/news/press-releases/2024/09/12/agentforce-announcement/
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11. Twilio to acquire Segment for $3.2 billion. Twilio, October 12, 2020. https://investors.twilio.com/news/news-details/2020/Twilio-Signs-Definitive-Agreement-to-Acquire-Segment/default.aspx
12. Cisco Completes Acquisition of Splunk. Cisco, March 18, 2024. https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2024/m03/cisco-completes-acquisition-of-splunk.html
13. Dell to sell Boomi to Francisco Partners and TPG for $4B. Dell, April 30, 2021. https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releases~usa~2021~04~20210430-dell-to-sell-boomi.htm
14. Workato raises $200M Series E at $5.7B valuation. TechCrunch, November 10, 2021. https://techcrunch.com/2021/11/10/workato-raises-200m-at-5-7b-valuation/
15. DataRobot at $6.3B valuation. TechCrunch, July 27, 2021. https://techcrunch.com/2021/07/27/datarobot-raises-300m-at-6-3b-valuation/
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