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Organic Search Traffic Growth

Definition

Organic Search Traffic Growth measures the change in website sessions originating from unpaid search engine results over time. It helps track SEO performance and discoverability.

Description

Organic Search Traffic Growth is a key indicator of SEO health and long-term discoverability, reflecting how non-paid visitors arrive through search engines based on how well your content aligns with their queries.

The relevance and interpretation of this metric shift depending on the model or product:

  • In B2B SaaS, it highlights the impact of blog strategy, solution pages, and keyword targeting
  • In eCommerce, it reflects ranking for product terms, category pages, and buying guides
  • In Content-led or PLG businesses, it shows how well your product educates and attracts through search

A rising trend typically signals improved domain authority, technical SEO, or keyword coverage. A falling trend could point to algorithmic penalties, content gaps, or a lack of optimization. By segmenting by cohort — such as query type, landing page, topic cluster, or device — you can surface opportunities to expand coverage, fix technical issues, or double down on converting content themes.

Organic Search Traffic Growth informs:

  • Strategic decisions, like content calendar prioritization or SEO investment levels
  • Tactical actions, such as fixing broken links, optimizing metadata, or updating stale pages
  • Operational improvements, including technical SEO audits and CMS hygiene
  • Cross-functional alignment, by connecting signals across content, SEO, web, and product marketing teams to support compounding, low-CAC growth

Key Drivers

These are the main factors that directly impact the metric. Understanding these lets you know what levers you can pull to improve the outcome

  • Content Depth and SEO Optimization: Long-form, intent-matched content outperforms fluff.
  • Domain Authority and Backlink Growth: Trusted domains rank faster — link-building matters.
  • Technical SEO and Page Experience: Broken pages, poor mobile UX, or slow load times reduce visibility.

Improvement Tactics & Quick Wins

Actionable ideas to optimize this KPI, from fast, low-effort wins to strategic initiatives that drive measurable impact.

  • If traffic is flat, run an SEO audit and refresh old high-potential pages with updated keywords and structure.
  • Add FAQ sections, schema markup, and TOC anchors to long-form pages.
  • Run a test building backlink partnerships via guest blogging or tool integrations.
  • Refine topic clusters around core use cases or verticals — not just generic product keywords.
  • Partner with demand gen to balance short-term paid with long-term organic investments.

  • Required Datapoints to calculate the metric


    • Organic Sessions (Google Analytics, GSC, etc.)
    • Comparison Period (MoM or YoY)
    • Keyword or Page Segmentation (optional)
  • Example to show how the metric is derived


    • February: 32,000 organic sessions
    • March: 38,400
    • Formula: (38,400 − 32,000) ÷ 32,000 = +20% MoM Growth

Formula

Formula

\[ \mathrm{Organic\ Search\ Traffic\ Growth} = \left( \frac{\mathrm{Current\ Period\ Organic\ Sessions} - \mathrm{Previous\ Period}}{\mathrm{Previous\ Period}} \right) \times 100 \]

Data Model Definition

How this KPI is structured in Cube.js, including its key measures, dimensions, and calculation logic for consistent reporting.

cube('OrganicSearchTraffic', {
  sql: `SELECT * FROM organic_search_traffic`,

  measures: {
    organicSessions: {
      sql: `organic_sessions`,
      type: 'sum',
      title: 'Organic Sessions',
      description: 'Total number of sessions originating from unpaid search engine results.'
    },
    organicTrafficGrowth: {
      sql: `organic_sessions`,
      type: 'number',
      title: 'Organic Traffic Growth',
      description: 'Growth in organic search traffic over the specified comparison period.'
    }
  },

  dimensions: {
    id: {
      sql: `id`,
      type: 'string',
      primaryKey: true
    },
    comparisonPeriod: {
      sql: `comparison_period`,
      type: 'string',
      title: 'Comparison Period',
      description: 'Period for comparison, e.g., MoM or YoY.'
    },
    keyword: {
      sql: `keyword`,
      type: 'string',
      title: 'Keyword',
      description: 'Keyword associated with the organic search session.'
    },
    page: {
      sql: `page`,
      type: 'string',
      title: 'Page',
      description: 'Page associated with the organic search session.'
    },
    sessionDate: {
      sql: `session_date`,
      type: 'time',
      title: 'Session Date',
      description: 'Date of the organic search session.'
    }
  }
});

Note: This is a reference implementation and should be used as a starting point. You’ll need to adapt it to match your own data model and schema


Positive & Negative Influences

  • Negative influences


    Factors that drive the metric in an undesirable direction, often signaling risk or decline.

    • Poor Content Quality: Low-quality or irrelevant content reduces search engine rankings, decreasing organic search traffic.
    • Lack of Backlinks: Insufficient backlinks from authoritative sites weaken domain authority, negatively impacting search rankings and organic traffic.
    • Technical SEO Issues: Issues like broken links, slow load times, and poor mobile experience reduce site visibility, decreasing organic search traffic.
    • Keyword Cannibalization: Multiple pages targeting the same keywords can confuse search engines, reducing overall organic traffic.
    • High Bounce Rate: A high bounce rate indicates poor user experience or irrelevant content, negatively affecting search engine rankings and organic traffic.
  • Positive influences


    Factors that push the metric in a favorable direction, supporting growth or improvement.

    • Content Depth and SEO Optimization: High-quality, intent-matched content increases relevance and ranking potential, leading to higher organic search traffic.
    • Domain Authority and Backlink Growth: Increased backlinks from reputable sites enhance domain authority, improving search engine rankings and organic traffic.
    • Technical SEO and Page Experience: Optimized technical SEO and improved page experience enhance site visibility and user engagement, boosting organic search traffic.
    • Keyword Optimization: Effective keyword targeting and optimization improve search engine rankings, increasing organic traffic.
    • User Engagement Metrics: Higher user engagement, such as longer session durations and lower bounce rates, signals quality content to search engines, enhancing organic traffic.

Involved Roles & Activities


Funnel Stage & Type

  • AAARRR Funnel Stage


    This KPI is associated with the following stages in the AAARRR (Pirate Metrics) funnel:

    Awareness
    Acquisition

  • Type


    This KPI is classified as a Lagging Indicator. It reflects the results of past actions or behaviors and is used to validate performance or assess the impact of previous strategies.


Supporting Leading & Lagging Metrics

  • Leading


    These leading indicators influence this KPI and act as early signals that forecast future changes in this KPI.

    • Website Traffic: Website Traffic reflects the total volume of visitors to the site, providing an early indicator of potential organic search traffic increases. A sustained rise in website traffic, especially from organic sources, often precedes and predicts growth in Organic Search Traffic.
    • Unique Visitors: Unique Visitors measures the distinct number of individuals visiting the website. Growth in unique visitors from organic search sources typically precedes and contributes to Organic Search Traffic Growth, serving as an early signal of improved SEO discoverability.
    • Page Views: Increased Page Views, particularly on content and landing pages, can signal rising organic interest and improved search rankings. More organic page views often translate into measurable growth in Organic Search Traffic.
    • Content Engagement: High levels of Content Engagement (e.g., shares, time on page, comments) suggest that content is resonating and likely being rewarded by search engines, which can lead to subsequent increases in Organic Search Traffic.
    • Brand Awareness: Greater Brand Awareness leads to more branded and non-branded organic searches, which can forecast and drive future Organic Search Traffic Growth as more users actively seek out the brand.
  • Lagging


    These lagging indicators confirm, quantify, or amplify this KPI and help explain the broader business impact on this KPI after the fact.

    • Branded Search Volume: Branded Search Volume quantifies the number of users searching for the brand by name. Increases here often confirm that Organic Search Traffic Growth is being driven by stronger brand demand and recognition.
    • SEO Traffic Growth Rate: SEO Traffic Growth Rate directly measures the change in organic search traffic over time and amplifies trends observed in Organic Search Traffic Growth, providing a more granular rate of change for diagnostics.
    • Conversion Rate: Conversion Rate helps quantify the business impact of Organic Search Traffic Growth by showing how effectively increased organic traffic is turning into valuable actions (e.g., sign-ups, purchases).
    • Organic Acquisition Rate: Organic Acquisition Rate measures the share of new users acquired through unpaid channels, confirming that Organic Search Traffic Growth is translating into actual new customer acquisition.
    • Direct Traffic Growth: Direct Traffic Growth can support and amplify Organic Search Traffic Growth, indicating that improved organic visibility may also be driving more users to visit directly, confirming broader brand and SEO impact.