SEMrush Analytics: How to Use It for Marketing Data Analysis in 2026

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5 min read

SEMrush Analytics has become the default SEO platform for marketing teams tracking organic search performance, but most analysts struggle to move that data beyond the SEMrush dashboard. Traffic insights sit in one tool, paid media data lives in another, and CRM conversions stay locked in a third. This fragmentation makes it nearly impossible to answer basic questions like "which SEO campaigns drive revenue?" or "how does organic traffic compare to paid performance this quarter?"

This guide shows marketing data analysts how to use SEMrush Analytics effectively — from configuring domain tracking and running competitive audits to exporting SEO metrics into centralized dashboards where they can be analyzed alongside the rest of your marketing stack.

Key Takeaways

✓ SEMrush Analytics provides organic traffic estimates, keyword rankings, backlink profiles, and competitive intelligence across 142,000 active paying customer accounts as of 2026

✓ The Traffic Analytics module delivers visit counts, traffic sources, audience demographics, and engagement metrics without requiring access to competitors' internal analytics

✓ Marketing data analysts use SEMrush primarily for three workflows: domain health audits, competitor benchmarking, and keyword gap analysis

✓ SEMrush data becomes exponentially more valuable when combined with conversion data from your CRM, ad spend from paid channels, and attribution signals from marketing automation platforms

✓ Most teams export SEMrush metrics via API or CSV to centralize reporting — manual exports break down at scale when tracking dozens of domains or refreshing data daily

✓ Improvado connects SEMrush directly to your data warehouse or BI tool, auto-refreshing 1,000+ metrics and eliminating manual export workflows that consume analyst time

What Is SEMrush Analytics and Why Marketing Teams Use It

SEMrush Analytics is the traffic analysis and competitive intelligence layer inside the SEMrush SEO platform. It estimates website traffic, identifies traffic sources, tracks keyword rankings, audits backlink profiles, and benchmarks your domain against competitors — all without requiring access to their internal analytics.

Marketing data analysts rely on SEMrush for visibility into metrics Google Analytics won't surface: competitor traffic trends, keyword difficulty scores, SERP feature ownership, and referring domain authority. It answers questions like "which competitors rank for our target keywords?" and "where is their traffic coming from?" These insights inform content strategy, paid search budget allocation, and partnership decisions.

The challenge: SEMrush data becomes actionable only when combined with your own conversion data, ad spend, and attribution signals. A competitor ranking #1 for a high-volume keyword means nothing if that keyword doesn't drive revenue for your business model. You need SEMrush metrics inside the same dashboard as your Google Ads ROI, Salesforce pipeline, and HubSpot attribution reports.

Pro tip:
Combine SEMrush organic rankings with Google Ads CPC to identify where improving SEO could cut your paid search spend by 40–60% per keyword.
See it in action →

Step 1: Configure Domain Tracking and Baseline Metrics

Start by adding your primary domain to SEMrush's Domain Overview tool. Navigate to Domain Analytics → Overview, enter your root domain (no protocol, no subdomain), and select your target country. SEMrush will generate a baseline report showing organic search traffic estimates, paid search traffic, backlink count, and keyword rankings.

Set up ongoing tracking by creating a Position Tracking project. This monitors your keyword rankings daily and alerts you to SERP changes. Add your target keyword list — typically 50–200 terms split between brand, product, and category keywords. Configure location targeting to match where your customers search from (city, state, or country level).

Connecting Google Analytics for Accurate Baselines

SEMrush traffic estimates are modeled predictions, not actual session counts. Connect your Google Analytics account via the integration menu to replace estimates with real traffic data for your own domain. This improves accuracy for keyword performance reports and competitive gap analysis — SEMrush will use your actual traffic to calibrate its predictive models for similar domains.

Without this connection, you're comparing real competitor data (from SEMrush's panel) against estimated data for your own site. The delta can be significant for low-traffic domains or niche industries where SEMrush's panel coverage is thin.

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Step 2: Run Traffic Source Analysis

Open Traffic Analytics and enter a competitor domain. SEMrush breaks down their traffic by source: direct, referral, organic search, paid search, social, and display advertising. Use this to identify which channels drive the majority of their visits.

The Geographic Distribution report shows which countries send traffic. If a competitor gets 60% of visits from the UK but you're US-focused, their keyword strategy won't translate directly. Filter insights by geography to avoid false signals.

Drill into the Traffic Journey report to see which pages receive the most visits and where users go next. High-traffic landing pages reveal their content strategy. Pages with high exit rates signal where their funnel breaks. Combine this with your own Google Analytics behavior flow to spot gaps in your customer journey.

Identifying Referral Sources and Partnership Opportunities

The Referrals tab lists domains sending traffic via backlinks. Sort by visit count to find their highest-value partnerships. If three competitors all receive referral traffic from the same industry publication, that publication becomes a link-building target for your team.

Export the referral list and cross-reference it with your backlink audit. Domains linking to competitors but not to you represent immediate outreach opportunities.

Step 3: Benchmark Your Domain Against Competitors

SEMrush's Market Explorer tool compares up to 20 domains side-by-side. Add your domain plus 4–5 direct competitors. SEMrush generates a quadrant chart plotting market share against traffic growth. Domains in the top-right quadrant (high share, high growth) are winning; bottom-left domains are declining.

Use the Traffic Comparison report to overlay traffic trends month-by-month. Sudden spikes usually indicate a viral content hit, a product launch, or a paid campaign. Sustained growth over six months signals SEO momentum or successful content strategy. Declining traffic often correlates with algorithm updates or technical SEO issues.

Improvado auto-syncs SEMrush rankings with your CRM and ad platforms daily
Stop exporting CSVs. Improvado connects SEMrush directly to your data warehouse, auto-mapping 1,000+ metrics to a standardized schema alongside Google Ads, Salesforce, and 500+ other sources. When SEMrush changes a field name, Improvado updates the connector and preserves historical data so your dashboards don't break.

Step 4: Conduct Keyword Gap Analysis

The Keyword Gap tool identifies terms your competitors rank for that you don't. Enter your domain and up to four competitor domains. SEMrush returns three lists: keywords unique to competitors, keywords you all share, and untapped keywords where no one ranks strongly.

Filter by search volume (1,000+ monthly searches) and keyword difficulty (under 50) to find high-opportunity terms. Sort by traffic potential to prioritize keywords that drive clicks, not just impressions. Export the list and cross-reference it with your content calendar — these are your content gaps.

The Weak keywords tab shows terms where competitors outrank you despite similar domain authority. These are quick wins: you already have ranking pages, but optimization or fresh content could push you higher.

Using Intent Filters to Prioritize Commercial Keywords

SEMrush classifies keywords by intent: informational, navigational, commercial, or transactional. Filter your gap analysis to show only commercial and transactional terms — these drive revenue. Informational keywords build top-of-funnel awareness but rarely convert directly.

Export the filtered list into your attribution model. Track which keywords from the gap analysis later appear in conversion paths. This closes the loop between SEO research and revenue impact.

Navigate to Backlink Analytics and enter your domain. SEMrush displays total backlinks, referring domains, domain authority score, and toxic link percentage. Healthy profiles show steady growth in referring domains with minimal toxic links (under 5%).

The Indexed Pages report reveals how many of your pages have at least one backlink. Pages with zero backlinks are invisible to SEMrush's crawler and likely underperforming in organic search. Prioritize internal linking or outreach campaigns for these orphaned pages.

Run the Toxic Score audit to identify spammy or low-quality backlinks. Export the list and submit a disavow file to Google Search Console if toxic links exceed 10% of your profile. Leaving them unaddressed can trigger manual penalties.

Switch to a competitor domain in Backlink Analytics. Sort their backlinks by authority score to find high-value domains. Filter by dofollow links only — nofollow links pass no SEO equity. Export the top 100 referring domains and cross-reference them with your own backlink profile. Domains linking to competitors but not to you are outreach targets.

Use the Backlink Gap tool to automate this process. Enter your domain and up to four competitors. SEMrush highlights domains linking to multiple competitors but missing your site. These are warm leads: they already cover your industry and have linked to similar companies.

Step 6: Export Data for Centralized Reporting

SEMrush offers CSV exports for most reports, but exporting manually doesn't scale. A typical marketing data analyst tracks 10–30 domains (your sites plus competitors) across 50–200 keywords. Refreshing this data daily via CSV exports consumes hours.

SEMrush provides an API for programmatic access. The API returns keyword rankings, backlink counts, traffic estimates, and SERP features in JSON format. You'll need a developer or data engineer to build connectors, handle rate limits, and write transformation logic to map SEMrush's schema to your data warehouse.

Most teams hit three bottlenecks: API rate limits (SEMrush restricts calls per hour), schema changes (SEMrush updates field names without notice), and historical data gaps (the API returns current snapshots, not time-series data unless you log it yourself).

Signs your SEO reporting is broken
⚠️
5 signs your SEMrush workflow needs an upgradeMarketing data teams switch to Improvado when…
  • You spend 8+ hours per week exporting SEMrush CSVs and manually joining them with Google Ads and CRM data in spreadsheets
  • SEMrush schema changes break your custom API scripts every quarter, requiring engineering time to fix connectors
  • You can't answer 'which SEO keywords drive pipeline?' because SEMrush rankings and Salesforce opportunities live in separate systems
  • Your dashboards show last week's SEMrush data because manual refresh workflows can't keep up with daily ranking changes
  • You track 10+ competitor domains but have no automated way to benchmark their traffic trends against your own Google Analytics data
Talk to an expert →

Common Mistakes to Avoid

Treating SEMrush traffic estimates as ground truth. SEMrush models traffic using panel data and clickstream signals. Estimates can be off by 30–50% for low-traffic domains or niche industries. Always validate SEMrush data against your own Google Analytics before making budget decisions.

Ignoring search intent when prioritizing keywords. A keyword with 10,000 monthly searches sounds valuable, but if it's informational and your product requires a demo, that traffic won't convert. Filter gap analysis by commercial and transactional intent. Track which SEMrush keywords later appear in your CRM's conversion paths.

Running backlink audits once and never revisiting. Your backlink profile changes daily. Competitors launch campaigns, domains go offline, and toxic links accumulate. Schedule monthly backlink audits and set up alerts for sudden drops in referring domains — they often signal technical issues or negative SEO attacks.

Comparing your domain to competitors without adjusting for scale. A competitor with 10x your traffic will rank for 10x more keywords. Use SEMrush's Market Share metric instead of absolute traffic counts. Market share normalizes for size and reveals whether you're gaining or losing ground relative to category growth.

Exporting SEMrush data into spreadsheets and calling it reporting. CSV exports go stale the moment you download them. By the time you've aggregated three competitor domains across five metrics, your rankings have shifted. Use SEMrush's API or a marketing data platform to auto-refresh reports.

Preserve historical SEMrush data even when connectors change
SEMrush updates field names and adds new metrics without notice. Improvado maintains two years of historical data through schema changes, so your year-over-year ranking comparisons and traffic trend reports never break. Marketing data governance included: 250+ validation rules catch data quality issues before they reach your dashboard.

Tools That Centralize SEMrush Analytics with Other Marketing Data

SEMrush works best when its metrics sit alongside your paid media spend, CRM pipeline, and web analytics. Here are the platforms marketing data analysts use to centralize SEMrush data:

PlatformSEMrush IntegrationBest ForLimitations
ImprovadoPre-built connector with 1,000+ metrics auto-mapped to MCDM schema; daily refresh; historical data preserved through schema changesMid-market and enterprise teams needing SEMrush + 500+ other sources in one data model; no-code setup for marketers, full SQL access for analystsCustom pricing; not ideal for small teams under 10 people or those needing only SEMrush without other integrations
SupermetricsSEMrush connector available; exports to Google Sheets, BigQuery, or SnowflakeAgencies and small teams exporting to Google Sheets or basic BI dashboardsNo built-in data transformation; requires manual schema mapping; historical data gaps on connector updates
FivetranCommunity-built SEMrush connector; syncs to cloud data warehousesEngineering-led teams with existing data pipelines and warehouse infrastructureRequires SQL and dbt skills for transformation; no marketing-specific data models; connector maintained by community, not Fivetran
SEMrush API + Custom ScriptsFull API access; build your own connectorsTeams with dedicated data engineering resources and highly custom reporting needsOngoing maintenance burden; rate limits; schema change management; no historical data unless you log it

Improvado eliminates the export and transformation layer entirely. The platform connects SEMrush directly to your data warehouse, auto-maps 1,000+ SEMrush metrics to a standardized schema, and joins them with data from Google Ads, Salesforce, HubSpot, and 500+ other sources. When SEMrush changes a field name or adds a metric, Improvado updates the connector and preserves two years of historical data so your dashboards don't break.

1,000+SEMrush metrics auto-synced daily
Improvado maps every SEMrush metric to a standardized schema alongside 500+ other marketing sources — no CSV exports, no manual joins.
Book a demo →

How Marketing Data Analysts Use SEMrush in Cross-Channel Reporting

The most common use case: combining SEMrush organic keyword rankings with Google Ads paid keyword performance to identify arbitrage opportunities. If you rank #8 organically for a high-intent keyword but pay $12 per click in Google Ads, improving your organic rank to #3 could cut your paid spend by 40–60% for that term.

Build a unified keyword performance table with columns for SEMrush organic position, Google Ads CPC, Google Ads conversion rate, and Salesforce opportunity value. Sort by total spend (CPC × monthly clicks). Keywords in the top 20 by spend but outside the top 5 organic positions are your highest-ROI SEO targets.

Another workflow: joining SEMrush traffic estimates with HubSpot lead source data. Export your top 50 organic landing pages from SEMrush, then query HubSpot for leads attributed to those URLs. Pages with high SEMrush traffic but low HubSpot conversions have a conversion problem, not a traffic problem. Pages with low SEMrush traffic but high conversion rates are undermonetized — invest in SEO or paid amplification.

A third pattern: correlating SEMrush domain authority changes with Salesforce pipeline velocity. When your domain authority score increases (driven by new backlinks), does your average deal size grow? Does time-to-close decrease? Most teams never connect these dots because the data lives in separate systems. Centralized reporting reveals whether your SEO investments impact revenue, not just traffic.

✦ SEO + Paid + CRMConnect once. Improvado refreshes SEMrush data daily.Pre-built connectors for SEMrush, Google Ads, Salesforce, and 1,000+s — no engineering required.
1,000+SEMrush metrics auto-mapped
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DaysTo full implementation

Advanced SEMrush Analytics Workflows

Tracking SERP Feature Ownership

SEMrush's SERP Features report shows which domains own featured snippets, People Also Ask boxes, and local packs for your target keywords. Export the report and filter for features you don't own. Featured snippets steal 8–12% of clicks from the #1 organic result. Winning a snippet for a high-volume keyword is equivalent to moving from position #3 to #1.

Build a monthly tracker: keywords where you rank in positions 1–5 but don't own the snippet. These are snippet-theft opportunities. Rewrite your content to directly answer the question in the first 50 words, use structured data markup, and format answers as numbered lists or tables.

Monitoring Competitor Content Gaps Over Time

Run the Keyword Gap tool quarterly and export the results to a historical database. Compare this quarter's gaps against last quarter's. Keywords that moved from your competitor's gap list to your rankings prove your content strategy is working. Keywords that remain in the gap for three consecutive quarters signal structural issues — your domain authority is too low, your content quality isn't competitive, or the keyword isn't worth targeting.

Track gap closure rate as a KPI: (keywords closed this quarter) / (total gap keywords last quarter). A healthy SEO program closes 15–25% of gaps per quarter. Below 10% means your content production is too slow or targeting the wrong terms.

Building Predictive Traffic Models

Export six months of SEMrush traffic estimates and keyword ranking data into a time-series model. Use your BI tool's forecasting module (Looker, Tableau, Power BI all support this) to project traffic three months forward based on current ranking velocity. Compare forecasted traffic against your demand-gen targets. If the model predicts 40,000 organic visits but your pipeline goal requires 60,000, you know you need to accelerate SEO or shift budget to paid channels.

Combine this with your CAC model. If SEMrush predicts 20% organic traffic growth next quarter and your average visitor-to-lead rate is 3%, you can forecast lead volume and calculate the incremental pipeline value of your SEO program. This turns SEMrush from a reporting tool into a planning tool.

Conclusion

SEMrush Analytics gives marketing data analysts visibility into organic search performance, competitive keyword strategies, and backlink profiles that Google Analytics can't provide. But its value multiplies when SEMrush data is combined with conversion metrics, ad spend, and CRM pipeline in centralized dashboards where you can measure SEO's impact on revenue, not just traffic.

The bottleneck for most teams isn't SEMrush's capabilities — it's the operational cost of exporting, transforming, and refreshing that data daily alongside 10–30 other marketing sources. Manual exports break down at scale. Custom API scripts require ongoing engineering maintenance. Marketing data platforms like Improvado eliminate that middle layer, auto-syncing SEMrush metrics with 1,000+ other sources so analysts spend time on insights instead of data plumbing.

Every week you manually export SEMrush data is another week your team can't answer 'which SEO efforts drive revenue?' Book a demo today.
Book a demo →

Frequently Asked Questions

How accurate is SEMrush traffic data compared to Google Analytics?

SEMrush traffic estimates are modeled predictions based on panel data, not direct measurement. For high-traffic domains in competitive industries, estimates typically land within 20–30% of actual Google Analytics sessions. For low-traffic sites or niche verticals where SEMrush's panel coverage is thin, the margin can exceed 50%. Always connect your Google Analytics account to SEMrush via the integration menu — this replaces estimates with real data for your own domain and improves calibration for competitive benchmarks. Use SEMrush traffic data for directional insights and trend analysis, not absolute session counts.

Can I export SEMrush data automatically without using the API?

SEMrush supports scheduled CSV exports via its Reports feature, but this still requires manual upload into your data warehouse or BI tool. The exports don't include historical comparisons, schema mapping, or transformations — you're responsible for normalizing field names and joining data across reports. For one-time audits, CSV exports work. For daily or weekly reporting across multiple domains, the operational cost outweighs the benefit. Most marketing data teams either build API connectors in-house or use a marketing data platform like Improvado that handles SEMrush ingestion, transformation, and historical data preservation automatically.

How many competitor domains should I track in SEMrush?

Start with four to six direct competitors — companies selling similar products to the same audience in the same geography. Add two to three aspirational competitors: larger brands you want to benchmark against but don't compete with directly yet. Tracking more than 10 domains creates noise without additional insight. The goal isn't comprehensive market coverage; it's identifying specific keyword gaps, backlink opportunities, and traffic trends that inform your strategy. Run quarterly reviews to rotate competitors in and out based on market shifts.

What does SEMrush keyword difficulty score actually measure?

Keyword difficulty is SEMrush's 0–100 estimate of how hard it will be to rank in the top 10 organic results for a given keyword. It's calculated using the domain authority of currently ranking pages, their backlink profiles, and on-page optimization signals. A score under 30 suggests you can rank with strong content and basic SEO. Scores between 30–50 require competitive content plus targeted backlinks. Above 50, you're competing against established authority sites and need sustained effort over six to twelve months. Keyword difficulty is a useful filter for prioritization, but it doesn't account for search intent match or your existing domain authority — always cross-reference it with your current ranking position.

Is the free version of SEMrush sufficient for marketing data analysis?

The free SEMrush account limits you to 10 requests per day and doesn't include bulk exports, API access, historical data, or position tracking. You can run occasional competitor lookups or keyword research, but you can't build ongoing reports or track ranking changes over time. For marketing data analysts responsible for weekly or monthly reporting, the free tier doesn't provide enough data volume or refresh frequency. SEMrush's Pro plan starts at $139.95 per month and unlocks 3,000 reports per day, CSV exports, and limited API access. Enterprise teams tracking dozens of domains typically need the Business or Enterprise tier for higher limits and custom reporting.

Can SEMrush replace Google Analytics for website traffic measurement?

No. SEMrush traffic estimates are useful for competitive benchmarking and directional trends, but they're modeled predictions, not direct measurement. Google Analytics tracks actual user sessions, page views, events, and conversions via your site's tracking code. You need both: Google Analytics for accurate measurement of your own traffic and user behavior, SEMrush for visibility into competitor traffic and organic search performance you can't see in Google Analytics. When combined, they answer complementary questions — Google Analytics tells you what your visitors do; SEMrush tells you how your performance compares to competitors and where you have keyword gaps.

How do I integrate SEMrush data with my CRM and ad platforms?

SEMrush doesn't offer native integrations with CRMs like Salesforce or HubSpot. You have three options: export SEMrush data as CSV and manually upload it into your CRM (doesn't scale), build custom API connectors using SEMrush's API and your CRM's API (requires engineering resources and ongoing maintenance), or use a marketing data platform like Improvado that pre-builds connectors for SEMrush and 500+ other sources. The third option auto-syncs SEMrush keyword rankings, traffic estimates, and backlink data into the same data warehouse as your Salesforce opportunities, Google Ads spend, and HubSpot attribution — enabling cross-channel reporting without custom code.

FAQ

⚡️ Pro tip

"While Improvado doesn't directly adjust audience settings, it supports audience expansion by providing the tools you need to analyze and refine performance across platforms:

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Consistent UTMs: Larger audiences often span multiple platforms. Improvado ensures consistent UTM monitoring, enabling you to gather detailed performance data from Instagram, Facebook, LinkedIn, and beyond.

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Cross-platform data integration: With larger audiences spread across platforms, consolidating performance metrics becomes essential. Improvado unifies this data and makes it easier to spot trends and opportunities.

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VP of Product at Improvado
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