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17 Essential Digital Marketing Statistics for the B2B Marketer in 2025

17 essential B2B digital marketing statistics for 2025 for B2B marketing leaders.
17 Essential Digital Marketing Statistics for the B2B Marketer in 2025
Marketing
September 18, 2025

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1) Budgets are flat: marketing sits at 7.7% of company revenue

Why it matters: Pressure to do more with less isn’t going away. Leaders need sharper prioritisation and clearer ROI cases.

How to apply: Ring-fence testing (5–10% of spend), consolidate tools, and protect proven growth drivers before adding new bets.

Stat source: Marketing Brew

2) Only 5% of your buyers are in-market right now (the 95:5 rule)

Why it matters: Most B2B demand is future demand. Brand creates tomorrow’s pipeline.

How to apply: Plan for both: run always-on memory-building (distinctive brand assets, category entry points) alongside capture.

Stat source: LinkedIn Business Solutions

3) In B2B, aim for roughly 50/50 brand vs. activation over the year

Why it matters: Over-funding short-term capture starves future growth.

How to apply: Quarterly split can flex with seasonality, but review full-year pacing against a 50/50 benchmark.

Stat source: LinkedIn Business Solutions

4) Search ads convert at ~2–3% for B2B SaaS & FinTech

Why it matters: Unlike e-commerce, where conversion rates can reach 7%+, B2B SaaS and FinTech campaigns typically see 2–3% conversion from ad click to lead. That lower rate reflects longer cycles, multi-stakeholder buying, and higher deal values.

How to apply: Model realistic conversion rates in your forecasts (not inflated by B2C averages). Test lower-commitment offers (e.g. free tools, trial sign-ups) to lift conversion, and optimise for quality over volume by tracking how many leads progress to demo, opportunity, and revenue.

Stat source: FirstPageSage, WordStream

5) AI is here (and hard): 32% of marketing orgs have fully implemented AI; 43% are experimenting

Why it matters: Advantage shifts to teams operationalising AI with trustworthy data and governance.

How to apply: Start with repetitive tasks (audience & creative analysis, alerts), enforce human-in-the-loop, and document model/usage policies.

Stat source: Salesforce

6) Data reality check: only 31% are fully satisfied with unifying customer data; only 48% track CLV (Customer Lifetime Value)

Why it matters: Without joined-up data and CLV, it’s tough to fund brand or scale ABM.

How to apply: Define a minimum viable data model (IDs, opportunities, product, region), implement CLV as a standard board metric, and reduce tool sprawl.

Stat source: Salesforce

7) B2B buying is complex: 6–10 stakeholders in a typical buying group; 77% rate the purchase as difficult

Why it matters: Messaging must address multiple jobs-to-be-done, not a single persona.

How to apply: Map content to finance, IT, ops and exec priorities; equip sales with role-specific enablement.

Stat source: Gartner

8) Buyers need more touchpoints: ~27 interactions per purchase (up from 17)

Why it matters: Single-touch attribution will under-credit upper-funnel and mid-funnel work.

How to apply: Move to multi-touch models and use experiments (geo holdouts, time-based splits) to validate incrementality.

Stat source: Forrester

9) ABM outperforms: ABM programs see a 20% lift in average deal size compared to traditional demand generation programs.

Why it matters: Focused, account-specific programmes convert complex buying groups which are often linked to higher deal values..

How to apply: Stand up a one-to-few ABM stream for your top ICP segments; align sales plays and marketing content at the account and buying-group level.

Stat source: Gartner

10) Buyers use ~10 channels in their journey

Why it matters: Omnichannel consistency (message, offer, identity) beats channel silos.

How to apply: Harmonise naming/UTMs, centralise audiences, and ensure creative coherence across sales-led and self-serve paths.

Stat source: McKinsey & Company

11) Thought leadership drives demand: 73% trust it more than product sheets; 86% become more receptive to outreach; 23% started buying after reading a strong piece

Why it matters: Quality POV content reaches the 95% out-of-market and moves them into consideration.

How to apply: Publish original research and practical frameworks; distribute via LinkedIn, email, PR and targeted PMPs; measure assisted pipeline and RFP invites.

Stat source: Edelman

12) Ad spend is still the largest line item for marketers (B2B and B2C)

Why it matters: Paid media remains the quickest lever, but only if creative is distinctive and measurement is robust.

How to apply: Set creative testing cadence (concept → asset → format), and track to qualified pipeline and payback, not just CTR/CPA.

Stat source: Salesforce

13) Third-party cookies are fading: 38% of marketers no longer use third-party data (down from 75% using it in 2022)

Why it matters: First-party data and clean consent are now core infrastructure.

How to apply: Build value-exchange to capture emails and preferences; deploy server-side tagging; standardise event taxonomies across web/app/CRM.

Stat source: Salesforce

14) FinTech momentum: FinTech revenues grew 21% YoY in 2024; 69% of public FinTechs are profitable

Why it matters: Growth pockets exist, priority is picking verticals/use-cases where budgets are active.

How to apply: Concentrate paid + ABM on scaled sub-sectors (payments, vertical SaaS, acquiring) with tailored value props and proof.

Stat source: BCG

15) ABM ROI quantified (regional): ABM programmes most commonly deliver 21–50% higher ROI, with 23% reporting 51–200% higher ROI

Why it matters: It’s not just “better”, it’s materially better when sales and marketing are aligned on target accounts.

How to apply: Start with a lighthouse cluster, align SDR sequences with 1:1 content, and report on account progression, not just leads.

Stat source: Forrester

16) Salesforce stack reality: teams use ~8 marketing tools; satisfaction with AI & data performance is low

Why it matters: Over-tooling without integration kills speed and signal.

How to apply: Consolidate analytics + CDP + activation; create a single audience catalog for paid/search/email/LinkedIn.

Stat source: Salesforce

17) Loyalty/retention data is under-utilised: only 39% say loyalty functionality is accessible across touchpoints

Why it matters: Expansion and NRR improvements are being left on the table.

How to apply: Pipe usage/contract data into paid and email for cross-sell/upsell plays; add expansion cohorts to your ABM plan.

Stat source: Salesforce

How to turn these insights into a digital marketing plan

  • Budgeting: Plan annual spend with a brand/activation 50/50 lens; quarterly flex for seasonality, but keep the year in balance. For ppc budget planning use our free ppc calculator.
  • Channels: Build an omnichannel spine (Search + LinkedIn + Email + Website) and add ABM for top accounts; measure with multi-touch and payback windows.
  • Creative & content: Ship distinctive brand assets and thought leadership that solves real problems; run message tests per stakeholder (finance, IT, ops) to handle 6–10 person buying groups.
  • Data & AI: Prioritise first-party capture, unify IDs, and apply AI where you have the cleanest data (audience scoring, anomaly detection, copy variants). Track CLV and pipeline quality over vanity metrics.

For help creating a digital marketing strategy that knows these numbers inside out talk to us today. Lever Digital is a B2B specialist ppc agency helping SaaS, Fintech, and eCommerce clients scale their paid media.

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