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91% of marketers say attribution is important to their success, yet only 31% are very confident in their current models.
57% of companies are using some form of marketing attribution model in 2025.
22% of organizations still rely exclusively on last-click attribution.
38% of marketers say attribution is their #1 analytics challenge.
64% of CMOs say attribution directly influences budgeting decisions.
29% of companies have a dedicated attribution specialist or analyst.
47% of businesses upgraded attribution tools in the past 12 months.
74% of high-growth companies use multi-touch attribution.
Marketers using attribution platforms are 2.3x more likely to increase ROAS year-over-year.
43% of marketing teams believe attribution is under-funded in their organization.
28% use last-click attribution.
19% use first-click attribution.
14% use linear multi-touch models.
12% use time-decay models.
9% use U-shaped models.
6% use W-shaped models.
7% use data-driven algorithmic attribution.
Companies that switch from single-touch to multi-touch see an average 22% increase in budget efficiency.
U-shaped models are most common among B2B SaaS.
Data-driven attribution adoption has grown 44% YoY.
The average customer interacts with 6.5 touchpoints before converting.
In B2B, that number increases to 14+ touchpoints.
83% of marketers say customer paths are getting longer.
68% of consumers discover brands on mobile first.
Social media influences 41% of first-touch discovery.
Email is responsible for 31% of mid-funnel nurturing touches.
Paid search drives 29% of last-touch conversions.
52% of conversion paths include at least one remarketing touch.
11% of conversions involve 5+ ad platforms.
36% of consumers switch devices during the buying journey.
Companies using attribution effectively see 15–30% higher marketing ROI.
Attribution increases budget accuracy by an average of 19%.
Proper attribution reduces wasted ad spend by 27%.
Multi-touch attribution improves CPA efficiency by 14–36%, depending on channel mix.
61% of CMOs use attribution insights during quarterly spend re-allocation.
Attribution-driven companies scale winning campaigns 2.1x faster.
Attribution can reduce CAC by 8–24% depending on maturity.
Companies with data-driven attribution achieve 1.7x faster revenue growth.
Attribution insights influence 42% of creative optimization decisions.
Businesses report an average 12% improvement in lead quality after adopting attribution software.
55% of paid social conversions require 3+ touches to close.
TikTok ads are 1.9x more likely to influence first-touch vs. last-touch.
Facebook Ads win most mid-funnel influence (reported by 61% of advertisers).
Google Search wins most last-touch attribution (71%).
YouTube influences early-stage awareness in 48% of consumer journeys.
Display ads contribute assist value in 33% of paths but only direct conversion in 4%.
Retargeting ads increase conversion likelihood by 2.2x on average.
Brands using attribution adjust bids 3–7 times per week.
Lookalike audiences perform 18% better when guided by attribution insights.
Attribution reduces the chance of over-crediting branded search by 21%.
B2B sales cycles average 92 days from first touch to closed deal.
71% of B2B buyers consume 4+ pieces of content before contacting sales.
LinkedIn drives 68% of B2B first-touch interactions.
Webinars contribute 23% of mid-funnel influence in B2B.
Multi-touch attribution increases B2B opportunity win rates by 18%.
Lead scoring accuracy improves 32% when combined with attribution.
B2B remarketing reduces CAC by an average of 11%.
Account-based marketing improves attribution clarity by 26%.
58% of B2B teams track post-demo attribution signals.
CRM + attribution integration increases forecasting accuracy by 22%.
SEO contributes to first-touch awareness 47% of the time.
Blog content influences mid-funnel decisions in 56% of journeys.
Case studies are involved in 26% of B2B closing-stage decisions.
Video content is attributed in 34% of multi-touch funnels.
Interactive calculators boost last-touch conversion by 13%.
Email newsletters influence 19% of returning sessions.
Landing pages optimized using attribution data see +21% conversion lift.
Educational content correlates with higher lead-to-close velocity by 15%.
Attribution helps identify content decay 2.8x faster.
Brands that map content to touchpoints see 40% higher engagement rates.
62% of marketers use Google Analytics or GA4 for attribution.
33% use HubSpot, Salesforce, or Marketo attribution layers.
21% use specialized tools like Wicked Reports, Triple Whale, or Hyros.
44% of advertisers say GA4 attribution is not enough for scaling decisions.
41% of marketers report data silos between platforms.
27% say attribution setup took 3+ months.
32% of teams lack reliable CRM ↔ ad platform integration.
Only 14% have fully automated lead-to-revenue tracking.
49% plan to invest more in attribution tools in the next 12 months.
The average attribution tool costs $600–$4,800/month depending on scale.
56% of marketers say privacy rules have made attribution harder.
iOS14 tracking limitations reduced observable conversions by 18–32%.
Server-side tracking improves data accuracy by 13–27%.
Only 1 in 5 advertisers have fully implemented server-side event capture.
Cookie deprecation will impact 78% of existing attribution setups by 2026.
63% of teams now use UTM standardization practices.
45% send offline sales data back to ad platforms.
72% believe AI-driven attribution will become standard by 2027.
Zero-party data increases attribution accuracy by 16%.
CMOs list data reliability as their #1 barrier to attribution improvement.
AI-driven attribution adoption expected to exceed 60% by 2027.
Multi-touch attribution will replace single-touch as the dominant model by 2028.
Attribution will shift beyond ad spend to include brand lift & engagement scoring.
Offline conversions will be natively integrated in 90% of enterprise ad platforms.
Identity resolution tech will reduce cross-device loss by 35%+.
CRM pipelines will become the primary source of attribution truth.
First-party analytics will grow 2–4x in budget allocation.
Media mix modeling (MMM) will return as a complement to attribution tracking.
Attribution accuracy will become a competitive advantage metric.
Attribution will directly determine budget scaling decisions in most organizations.
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Bill Nash is the CMO of Marketing LTB with over a decade of experience, he has driven growth for Fortune 500 companies and startups through data-driven campaigns and advanced marketing technologies. He has written over 400 pieces of content about marketing, covering topics like marketing tips, guides, AI in advertising, advanced PPC strategies, conversion optimization, and others.