B Evidence Grade B Graded under review Safe to Cite Recent

60%

60% -- profitability increase for businesses using data analytics (2025)

2025  · McKinsey

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Attribution: McKinsey View source
Lighthouse Research Team
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Graded Evidence graded

Questions about this data

What is the profitability increase for businesses using data analytics?

The profitability increase for businesses using data analytics is 60% as of 2025 according to McKinsey. This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.

What is a good profitability increase benchmark for businesses using data analytics?

A strong profitability increase benchmark for businesses using data analytics is 60%, using the current serving value as of 2025. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.

How does businesses using data analytics profitability increase compare to the industry average?

The published profitability increase serving value for businesses using data analytics is 60% as of 2025. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.

What factors affect profitability increase for businesses using data analytics?

Primary drivers of profitability increase variation for businesses using data analytics include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 60% as of 2025.

What profitability increase should I aim for as a digital marketer in 2025?

For a digital marketer, the published profitability increase serving value is 60%; it is an evidence-grade reference, not a personalized target as of 2025. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.

Value
60%
Unit
Percentage
Data Vintage
2025
Entity
businesses using data analytics
B
Strong, reliable evidence

Approved for serving with evidence grade B. The record passes the documented quality and serving gates; consult the methodology for provenance details.

61/100 confidence

Single source - not yet corroborated

Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
McKinsey Primary Tier C
https://fliperce.com/blog/10-strategies-to-increase-the-value-of-an-e-commerce-store-before-selling/ ↗
Confidence: 48/100 Vintage: 2025 Channel: Deep Crawl
Source Article
10 Strategies to increase the value of an e-commerce store Before Selling
When preparing to sell your online business, it’s essential to increase the value of an e-commerce store to attract serious buyers and secure the best possible deal. Potential buyers are not just looking at your current sales; they are evaluating your store’s growth potential, operational efficiency…
Original Research
McKinsey · Original study ↗

McKinsey research; also cites 5-6% productivity increase (range midpoint used for productivity excluded)

Methodology documented
Industrymarketing
Plain Text
businesses using data analytics: 60% profitability increase. Source: McKinsey (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/mckinsey-data-analytics-profitability
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<blockquote cite="https://lighthousedata.io/data/mckinsey-data-analytics-profitability" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>60%</strong> -- profitability increase for businesses using data analytics<br><small>Source: McKinsey (2025) · <a href="https://lighthousedata.io/data/mckinsey-data-analytics-profitability" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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