Demand Gen Tools and Tech Stack: The 7 You Actually Need (and the 8 Killing Your Budget)

You logged into the billing portal on day 14 and counted fourteen SaaS tools attached to "Marketing." Six of them haven't had a login in 90 days. One renewed three weeks ago for $34,000. And finance just CC'd you on a thread titled "Stack Rationalization, Q2 priority."

Welcome to the job nobody told you about in the interview.

If you're a Demand Gen Manager who just inherited a martech stack, or you're rebuilding one after a layoff trimmed your team, this guide is the conversation I wish someone had with me before I signed my first set of renewals. No vendor cheerleading. No fantasy "ultimate stack" diagram. Real numbers, real tradeoffs, and a 90-day plan to defend your decisions when the CFO walks over.

Why Most Stacks Are Broken

Tool sprawl is not a vendor problem. It's a process problem dressed up in invoices.

Here's the pattern. Sales asks for "better intent data." Someone buys 6sense. Three months later, content asks for "a better landing page builder." Someone buys Unbounce. A quarter after that, the SDR team complains about cadence visibility, so somebody pulls Salesloft out of a Slack thread. Nobody connects them. Nobody trains anyone. The contracts auto-renew. By year two, you're spending more on integrations than on the campaigns those integrations are supposed to power.

Every campaign request gets answered with a new vendor instead of a new process. The DGM inherits the bill and the blame. And if you're new in seat, the previous DGM's resume already lists "managed a 14-tool martech stack" as a win.

Your job is to make it eight or fewer. Maybe seven. And to make the seven actually talk to each other.

The Core 7 (What Actually Moves Pipeline)

Strip the stack down to these seven categories. If a tool doesn't fit one of these, it's a candidate for the kill list.

1. CRM: the source of truth, not your MAP

Your CRM is the system of record. Not your marketing automation platform. Not your data warehouse. The CRM. Pipeline lives here. Account ownership lives here. Every other tool either feeds it or reads from it.

Your three real options:

• Salesforce. The default for 100+ rep enterprise orgs. Deep customization, every integration, and an admin tax ($120-165/user/mo for Sales Cloud Enterprise plus a full-time admin once you're past 50 reps).
• HubSpot Sales Hub. The default for fast-growing mid-market. Cleaner UX, MAP and CRM in one suite, but the price scales hard once you cross 50 seats and you'll outgrow object customization eventually.
• Rework CRM. The choice for small/mid B2B teams that want a tight sales-marketing loop without Salesforce's admin overhead. CRM and Sales Ops start at $12/user/mo, Work Ops at $6/user/mo. Pricing's at rework.com/pricing. Where it fits: 20-200 person teams running cross-functional ops where Marketing and Sales need to live in the same pipeline view, with native lead routing and a unified chat inbox tied to the CRM timeline. Where it doesn't fit: 500+ rep enterprises with deep custom object models or heavy Salesforce-only ecosystem dependencies. Be honest about which side you're on before you switch.

Pick one. Don't run two CRMs in parallel "during migration" for more than 90 days. I've seen that drag on for two years and the data never reconciles.

2. Marketing Automation: pick one, only one

This is where most stacks duplicate themselves and bleed budget.

• HubSpot Marketing Hub. Best for teams under $20M ARR. The MAP, CRM, email engine, landing pages, and forms all live together. If your MQL routing is set up right, you don't need a separate ESP. Pro tier runs around $890/mo for 2,000 contacts; Enterprise is where you start paying $3,600/mo and up.
• Marketo Engage. Best for $20-200M ARR companies running complex nurture programs with multiple business units. Powerful, ugly, and you'll need a Marketo consultant on retainer. Budget $30-60K/year for the platform plus $24-60K/year for the consultant.
• Pardot (Marketing Cloud Account Engagement). Pick this only if you're a Salesforce shop committed to staying in that ecosystem. Tight Salesforce sync is the entire reason it exists.

If you're under $20M ARR and you're paying for Marketo plus a separate ESP plus HubSpot Sales, you have a consolidation play worth $80-120K/year sitting right there. Run the numbers.

3. ABM Signal: only if you're actually doing ABM

Intent data tools are the most over-bought category in B2B. Buy one only if you have:

• A defined target account list (300-2,000 accounts, not "every company in North America")
• Sales reps who'll actually act on signals within 48 hours
• A Marketing-Sales SLA on what counts as an actionable signal

If those three aren't in place, intent data is expensive noise.

When you do buy, the choices:

• 6sense. The heavyweight. Best signal quality, deepest predictive models, $80-150K/year for mid-market plans. Worth it if you have a 5+ person SDR team and a real ABM motion.
• Demandbase. Strong on advertising integration and account-based ad orchestration. Similar price band to 6sense.
• Clearbit / Common Room. For smaller teams or budget-constrained orgs. Lighter signal but costs $15-40K/year and gets you 70% of the value.

If your ACV is under $20K and your sales cycle is under 60 days, you probably don't need ABM signal at all. Run paid plus SEO and skip this whole line item.

4. Content + Email Engine

If you bought HubSpot Marketing Hub already, this is solved. Don't buy a second tool.

If you're on Marketo, you'll likely have a separate ESP for one-off broadcast email (Customer.io or even Mailchimp for newsletters), and a separate landing page builder (Webflow or Unbounce). That's three tools doing the work of one HubSpot subscription. Worth modeling whether the Marketo savings beats the consolidation savings.

5. Paid Ads Platforms

LinkedIn and Google. That's the stack for 95% of B2B SaaS demand gen.

The platforms aren't your bottleneck. Your reps and creative are. Don't spend $30K/year on a "paid ad management platform" if your problem is that nobody's writing landing pages or testing creative weekly. Tools don't fix execution gaps.

6. Attribution

This is where DGMs get talked into spending six figures on a problem that didn't need a six-figure solution.

• Dreamdata. Strongest for B2B SaaS, native CRM and MAP integration, $30-80K/year. Worth it if your CFO is asking "where's pipeline coming from?" and you can't answer in under 10 minutes.
• HockeyStack. Newer entrant, slicker UX, similar price band. Strong on first-touch and self-serve dashboards.
• A simple multi-touch model in your BI. For teams under $10M ARR, you don't need an attribution platform. You need a defined model (W-shape or U-shape), clean UTM hygiene, and Looker or Metabase to render it. Most teams skip the discipline and buy the tool, then discover the tool can't fix their dirty UTMs either.

Try the BI approach first. Buy the platform when the BI approach fails specifically because your data volume or stitching complexity exceeds what a SQL model can handle.

7. BI / Dashboarding

Visibility beats vendor. Every time.

• Looker. For teams already on GCP or with a data team. Powerful, expensive ($60K+/year typical), needs LookML fluency.
• Metabase. For teams under 50 employees. Open-source option exists, cloud is around $85/user/mo. Gets you 80% of Looker for 20% of the cost.
• A tight Google Sheet + Sheets connector. For teams under $5M ARR, this is genuinely fine. The reason your dashboards are bad isn't the tool. It's that nobody's defined the four metrics that matter.

The DGM who says "we don't have visibility" usually has visibility. They have ten dashboards instead of one.

Nice-to-Have vs Blocks-Revenue

Here's the test. Ask yourself: if this tool dies tomorrow, what breaks?

Sort every tool you have through that lens. The "blocks revenue" list is short. Everything else is a candidate for renegotiation, downgrade, or cancellation.

Tool Fatigue Is Real

Reps log into four tools to send one outbound sequence. Marketing logs into six to launch one campaign. Every added tool has a cognitive tax that compounds, and that tax doesn't show up in any vendor's ROI deck.

When I audited one Series B team last year, the average campaign launch touched eight tools: HubSpot for landing page, Marketo for email, Salesforce for list pull, 6sense for account scoring, LinkedIn for ads, Webflow for the form, Workato for syncing the form to Salesforce, and Slack for the launch handoff. Eight tools. Three teams. Two weeks per campaign.

Their actual problem wasn't tool count. It was that nobody had documented the launch process. Adding a ninth tool wouldn't fix it. Killing four would.

Integration Costs Nobody Warned You About

Budget 15-25% of your total stack cost for "glue."

• iPaaS like Workato or Tray.io. $15-50K/year depending on connection count.
• Zapier sprawl. Looks free until you're on the $599/mo Team plan with 47 zaps nobody's owning.
• The consultant on retainer. The one who keeps Marketo and Salesforce talking when something breaks at 11pm. $2,000-5,000/mo at most agencies.
• Your own time. The hours you spend in vendor support tickets, debugging field mappings, explaining to finance why the renewal increased 22%.

If your stack costs $300K/year, plan for $45-75K of glue. If you're not budgeting for it, your CFO is going to find out the hard way at year-end.

The 90-Day Stack Audit

Here's the playbook I run every time I take over a stack.

Weeks 1-2: Inventory + login data

Pull the billing portal. Pull every SSO admin panel. Build one spreadsheet:

This sheet is your only artifact for the first two weeks. Don't make decisions yet. Just see the truth.

Weeks 3-4: Talk to every user

Every license owner gets 20 minutes. One question: "Walk me through the last campaign you used this for." If they can't answer, that's the data point.

You're not auditing tools. You're auditing process. The tools are downstream.

Weeks 5-8: Cut decisions and renegotiate

Now you score. Use this scorecard for every tool:

Anything under 3.0 average is a kill candidate. Anything between 3.0 and 3.5 is a renegotiate candidate (downgrade tier, fewer seats, or consolidate the workflow into another tool).

Weeks 9-12: Consolidate or replace

Execute. Three rules:

1. Don't cancel and migrate in the same quarter. Cancel one quarter, migrate the next.
2. Document the new process before you turn off the old tool. Always.
3. Tell finance what you saved. In writing. With the specific dollar figure. This is your political capital for the next budget cycle.

When to Consolidate (and When Not To)

Consolidate when the same job is done twice. Two tools sending email? Pick one. Two tools tracking pipeline? Pick one. Two tools showing dashboards? Pick the one your CEO opens.

Don't consolidate when the "all-in-one" vendor is mediocre at the one thing that matters most. HubSpot's reporting is fine for most teams; if your CFO needs revenue attribution at the campaign-touch level for board reporting, HubSpot's reports won't cut it and you'll need Dreamdata or a real BI layer regardless of what the HubSpot rep tells you.

The trap is consolidating to a vendor that's good at five things and great at none. That's how teams end up with a tool that "does ABM, attribution, and ads" but does each one 60% as well as the specialist. You don't save money. You just spread mediocrity across more workflows.

Closing

Your stack should be boring.

Boring stacks ship campaigns on time. Boring stacks let reps focus on selling instead of swivel-chairing between tabs. Boring stacks don't generate Slack threads at 9pm about why the data in HubSpot doesn't match the data in Salesforce.

Exciting stacks generate those Slack threads. Exciting stacks have 14 logos in the all-hands deck. Exciting stacks get the previous DGM fired in 18 months.

Your job isn't to own a sexy stack. It's to ship pipeline with the smallest stack that works, and to defend that decision when finance comes asking. Seven tools. Maybe eight. One CRM that's the source of truth. One MAP. Real owners. Documented processes. Budgeted glue.

The goal isn't to be the DGM with the most impressive martech diagram. It's to be the DGM whose pipeline number went up while the stack cost went down. That's the story you want on your next resume.

Learn More

• A Day in the Life of a Demand Gen Manager
• Your First 30/60/90 Days as a New Demand Gen Manager
• Funnel Math: MQL to SQL to Opportunity Forensics
• Demand Gen Metrics: Pipeline Contribution, CAC, and What to Report
• AI in the Demand Gen Manager Workflow