Glossary

What is DA?

Domain Authority (Moz)

Definition, formula, India benchmarks, and the operator-grade nuance behind it.

Definition

Domain Authority is Moz's 0–100 score of a domain's likelihood to rank in search. DA is calculated from backlink quantity, quality, and other signals. DA is comparable to Ahrefs' DR but uses different weighting.

  1. DA = Moz's 0–100 ranking-likelihood score.

  2. Comparable to Ahrefs DR; not always equal due to different algorithms.

  3. Useful for competitor analysis; less directly actionable than DR.

Formula

Domain Authority is Moz's proprietary 0–100 score combining backlink profile strength with linking-domain signals.

DA = f(Linking Root Domains × Quality × MozTrust) on 0–100 logarithmic scale
Example
Input: Site with 1,200 linking root domains, mixed quality
Result: DA ≈ 42

The operator's read on DA

DA was the dominant domain metric pre-Ahrefs but Ahrefs' DR has overtaken in operator usage. DA still matters for legacy SEO tools and some agency reporting. Track DA only if your tool stack uses it; otherwise prefer DR for consistency. Indian SEO operators in 2026 mostly track DR; DA is residual.

India 2026 benchmarks — DA

Common mistakes to avoid

FAQ

Frequently asked questions

What's a typical DA value in India?

India 2026 benchmarks vary by category: Same patterns as DR — Indian D2C DA: 20–55, B2B SaaS DA: 25–60; DA correlates ~0.85 with DR for most Indian sites; DA tends to be 5–10 points lower than DR for the same domain. Bands compress in saturated CPM regimes and widen as products move from impulse to considered. The right benchmark for your business depends on stage, gross margin, and channel mix.

What are the most common mistakes when tracking DA?

Three mistakes recur most often: Tracking both DA and DR redundantly without choosing one.; Treating DA as updates-frequently — Moz updates monthly.; Using DA as the only ranking signal.. The simplest defense is to define each metric explicitly in your reporting playbook and avoid mixing definitions across teams.

How does DA relate to other unit-economics metrics?

DA is most useful in context. Pair it with DR and BACKLINKS to build a complete picture. DA alone can mislead — the relationship between metrics matters more than any single number.

Should I optimize DA or accept industry-standard values?

Optimization depends on your stage. Early-stage businesses often have DA values outside healthy bands and need to fix structural issues (audience, creative, retention) before chasing the metric. Established businesses can compound through marginal improvements. Frameleads' Growth System maps which lever moves which metric in your specific category.

Industry adaptations

How DA behaves per industry

DA is a universal metric, but its band, drivers, and optimisation levers vary by category. Drill into the industry-specific version below for the deep view.

Adjacent questions

Questions about DA

Deeper reading

Long-form guides on related topics

Related terms

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Sources & references

Cited primary and analyst sources. Independent of Frameleads' own data.

  1. IBEF — India Brand Equity Foundation: Indian Industry ReportsIBEF (Ministry of Commerce & Industry)

    Sector-level market size, growth, and policy context for Indian industries.

  2. IAMAI — Internet & Mobile Association of IndiaIAMAI

    Digital advertising industry body; reports on India internet user base, ad spend, and platform shares.

  3. MoSPI — Ministry of Statistics and Programme ImplementationGovernment of India

    Primary source for India macro-economic indicators (CPI, GDP, household consumption).

  4. ASCI Code for Self-Regulation of Advertising in IndiaAdvertising Standards Council of India

    Mandatory baseline for all advertising claims in India — including digital, influencer, and comparative ads.

Last reviewed: by Ajsal AbbasRefreshed quarterly from live client data
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