Marketing Technology Stack

The 23-tool marketing stack that nobody used

In 2021, a marketing agency audit revealed a £380/month software bill across 23 marketing tools. The team of four used:

• 3 tools daily (email platform, Google Analytics, project management)
• 4 tools weekly (social scheduling, Google Ads, Meta Ads, Google Search Console)
• 7 tools monthly or less (competitor monitoring, heatmaps, CRM, SEO tools)
• 9 tools rarely or never (inherited from departed team members, free trials that became paid)

The annual cost: £4,560. The cost per actively used tool: £228/year (for the 7 regularly used). The rest — £2,160/year — was waste.

More problematically, the fragmented stack meant data lived in 23 separate places. Connecting a lead's journey from first touch (Google Analytics) through email engagement (Mailchimp) to CRM record (HubSpot) required manual correlation. It was never done.

The agency cut to 9 tools, reduced costs to £1,800/year, and spent the saved time on integration: connecting GA4 to HubSpot so that every lead's source was visible in the CRM. Within 3 months, the team could tell which channels produced customers for the first time.

The right stack is small, integrated, and used.

(Illustrative scenario based on patterns common in marketing agency operations. Specific figures are representative of real-world outcomes — not a verified account of a specific named company.)

The marketing technology landscape

Marketing technology (martech) has over 14,000 tools as of 2024 (Brinker, ChiefMarTec), growing rapidly from 11,000 in 2023 — a landscape that grows every year. The strategic challenge isn't finding tools; it's choosing the right minimal set and actually using them.

The core martech stack by function:

The rule: Start with one tool per function. Add a second only when the first is fully utilised and creating a specific bottleneck.

The CRM: the most important tool most businesses underuse

A CRM (Customer Relationship Management) system is the single most impactful marketing technology investment for most businesses — and the most commonly underused.

What a CRM does for marketing:

• Stores every contact with their complete interaction history
• Tracks which marketing source generated each lead
• Records the journey from lead to customer
• Enables segmentation for targeted campaigns
• Provides pipeline visibility for revenue forecasting

What most CRMs become instead: A contact list that salespeople update inconsistently, missing acquisition source data, with no connection to marketing campaigns.

The critical CRM setup element: lead source tracking When a lead fills in a form on your website, the CRM should automatically capture:

• The UTM source/medium/campaign they came from
• The landing page they converted on
• The date of first contact

Without this, the "which marketing channel generates our best customers?" question can never be answered from CRM data.

CRM selection by stage:

Marketing automation: what it should and shouldn't do

What marketing automation is for:

• Sending the right email to the right person at the right time based on their behaviour
• Lead scoring (prioritising leads for sales based on engagement signals)
• Nurture sequences that run without manual intervention
• Triggered communications (post-purchase, post-signup, re-engagement)

What marketing automation is not for:

• Replacing genuine human relationship-building at high-ACV B2B
• Creating the illusion of personalisation (first-name merge tags in otherwise generic emails)
• Automating communications to segments that haven't been defined

The automation cascade:

Start with these three automations before building anything more complex:

1. Welcome sequence (new subscriber or trial signup)
2. Abandoned cart or abandoned conversion action
3. Post-purchase or post-close nurture

These three cover the highest-ROI automation use cases for most businesses.

Back to the 23-tool stack

After consolidating from 23 tools to 9, the team didn't lose capability — they gained it. With GA4 connected to HubSpot, the question "which channel produces our best customers?" could finally be answered from a single screen, something that had been impossible when lead journeys had to be manually correlated across disconnected platforms. The time previously spent reconciling data became time spent on actual marketing. The right stack is one you stop thinking about: the tools disappear into the background, the data flows without intervention, and the decisions happen because the information is simply there when you need it.

Key takeaways

• The right stack is small and integrated. 7 well-used, connected tools outperform 23 disconnected ones every time.
• The CRM is the most important marketing tool most businesses underuse. Lead source tracking in the CRM is the difference between knowing which channels produce customers and guessing.
• Automation should start with three sequences. Welcome, abandoned conversion, post-purchase/close. These cover the highest-ROI automation use cases before building anything more complex.
• Add tools only when there's a specific decision they enable. "We should track this" is not a reason to buy a tool. "We need to know X to decide Y" is.
• Integration creates value; fragmentation destroys it. Data in disconnected silos can't answer the questions that matter most — channel performance, customer LTV by source, or pipeline attribution.