GITNUXSOFTWARE ADVICE
Marketing AdvertisingTop 10 Best Competitive Analysis Software of 2026
Top 10 competitive analysis software ranked for sales and marketing teams. Side-by-side review of Klue, Semrush, and Crayon.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Brandwatch is the best fit for global marketing and research teams that need social listening with configurable reporting to understand competitor shifts, while Feedly works better for teams that start with steady competitor news monitoring and organized reading before deeper analysis.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Brandwatch
Consumer Research combines Iris AI theme detection with Image Insights logo recognition across visual social content.
Built for fits when global marketing and research teams need social intelligence with visual analysis and configurable reporting..
Semrush
Editor pickEyeOn competitor monitoring tracks changes across websites, rankings, advertisements, and social activity in one workspace.
Built for fits when marketing teams need search, advertising, traffic, and competitor change data in one workspace..
Crayon
Editor pickAutomated competitor change detection with analyst review across websites, news, social channels, and customer reviews.
Built for fits when sales and marketing teams need monitored competitor changes connected to battlecards and CRM workflows..
Comparison Table
Brandwatch
enterpriseConsumer intelligence and social listening platform for competitor brand analysis.
Consumer Research combines Iris AI theme detection with Image Insights logo recognition across visual social content.
Brandwatch's Consumer Research workspace lets analysts build Boolean queries across social, news, review, forum, and blog sources. Iris AI helps group themes and surface emerging conversation patterns, while Image Insights identifies logos and visual brand appearances. Vizia turns collected data into dashboards, alerts, and presentation-ready views for marketing, research, and communications teams.
The breadth creates a query-governance burden for multilingual programs and high-volume monitoring. Teams can use Brandwatch for share-of-voice metrics, competitor messaging analysis, and launch monitoring, but CRM-based win-loss analysis requires connected systems or separate workflows. Social and public-web coverage does not replace private-channel intelligence.
- +Consumer Research combines social, news, review, and forum sources.
- +Image Insights identifies logos and visual brand appearances.
- +Iris AI groups themes and surfaces emerging conversation patterns.
- +Vizia supports dashboards, alerts, exports, and presentation-ready reporting.
- –Query design becomes complex for multilingual, high-volume monitoring programs.
- –Sales enablement battle cards require downstream workflow design.
- –Social coverage does not replace private-channel or CRM intelligence.
Brand intelligence teams
Competitor share tracking
Faster market reporting
Social research teams
Emerging topic detection
Earlier issue detection
Show 2 more scenarios
Global marketing teams
Visual campaign monitoring
Broader brand visibility
Image Insights identifies competitor logos and brand appearances in user-generated visual content.
Communications departments
Crisis response monitoring
Faster response coordination
Alerts and Vizia dashboards consolidate sudden mention changes, sentiment movement, and source activity.
Best for: Fits when global marketing and research teams need social intelligence with visual analysis and configurable reporting.
Semrush
enterpriseOnline visibility management platform with competitor traffic, keyword, and ad analysis.
EyeOn competitor monitoring tracks changes across websites, rankings, advertisements, and social activity in one workspace.
Semrush combines Market Explorer audience comparisons with Traffic Analytics, competitor domain research, and channel-level performance estimates. Keyword Gap identifies missing rankings across rival domains, while Backlink Gap shows referring domains competitors have acquired.
EyeOn monitors changes across competitor websites, rankings, advertisements, and social activity. Traffic and audience figures are modeled estimates, and Semrush lacks native sales battle-card authoring. A demand-generation team can use the research for campaign planning, content prioritization, and competitor account preparation.
- +Market Explorer combines audience, traffic, and competitor comparisons.
- +EyeOn alerts teams to competitor site, ranking, advertising, and social changes.
- +Keyword Gap and Backlink Gap turn rival domains into actionable research lists.
- +Advertising Research exposes competitor paid keywords, ad copy, and landing pages.
- –Traffic Analytics relies on modeled estimates rather than competitors’ first-party analytics.
- –Semrush lacks native sales battle-card authoring and CRM-based competitor alerts.
- –Advanced workflows require separate modules and careful project configuration.
SEO and content teams
Finding competitor keyword gaps
Prioritized content opportunities
Demand generation teams
Monitoring rival campaigns
Faster campaign response
Show 2 more scenarios
Market strategy teams
Sizing digital market segments
Evidence-based market selection
Market Explorer compares traffic sources, audience attributes, and leading domains before strategic planning.
Sales enablement teams
Preparing competitor account briefs
More relevant sales conversations
Traffic Analytics and domain research provide public signals for account-specific talking points.
Best for: Fits when marketing teams need search, advertising, traffic, and competitor change data in one workspace.
Crayon
enterpriseCompetitive intelligence platform aggregating competitor signals for revenue teams.
Automated competitor change detection with analyst review across websites, news, social channels, and customer reviews.
Crayon covers core competitive intelligence workflows from source monitoring through internal distribution. Automated change detection identifies updates across selected competitors, while analyst review helps separate meaningful developments from routine page changes. Battlecards give sales teams a structured place for competitor claims, objections, and response guidance.
The main tradeoff is configuration overhead around competitor coverage, source selection, alert rules, and content governance. Crayon fits product marketing teams that need to track competitor launches, messaging changes, and website revisions before updating positioning or sales guidance.
- +Monitors competitor websites, news, social channels, and review sources.
- +Connects competitive findings to sales enablement battle cards.
- +Distributes alerts through Slack, Microsoft Teams, and Salesforce.
- +Analyst review helps reduce noise from routine source changes.
- –Setup requires careful source selection, competitor taxonomy, and alert governance.
- –Native SEO keyword and backlink analysis are not core modules.
- –Deep custom research can require analyst configuration.
- –Public API capabilities are less visible than its workflow integrations.
Sales enablement teams
Battlecard maintenance
Current sales guidance
Product marketing teams
Launch monitoring
Faster positioning reviews
Show 1 more scenario
Revenue operations teams
CRM alert distribution
Contextual account intelligence
Salesforce integration places relevant competitor intelligence inside account and opportunity workflows.
Best for: Fits when sales and marketing teams need monitored competitor changes connected to battlecards and CRM workflows.
Feedly
SMBNews aggregator with competitive intelligence add-ons for tracking competitor news.
Topic collections that function as persistent competitor monitoring workspaces for triage, tagging, and recurring review.
Feedly centralizes intelligence source aggregation into a single feed reader workflow built for ongoing competitor and industry monitoring. It supports topic and keyword discovery across RSS and web sources, then organizes results into collections that act like lightweight competitor profiling workspaces.
The core workflow relies on saved searches, topic tracking, and multi-feed organization instead of automated analysis outputs. Feedly also offers integration options through add-ons and exports that help route collected items into downstream research and sales enablement notes.
- +Fast source aggregation across RSS and curated topics for continuous scanning
- +Collections keep competitor-specific research threads in one place
- +Saved searches reduce manual filtering across high-volume sources
- +Multi-device reading and annotations support team handoff notes
- –Limited built-in comparative analytics for feature gap analysis style outputs
- –Automation relies more on feed management than change detection workflows
- –Export and integration depth can require external tooling for governance
- –Interface prioritizes reading over structured battle card automation creation
Best for: Fits when teams need steady competitor and market monitoring with organized reading before analysis.
Ahrefs
enterpriseSEO toolset with backlink, organic traffic, and paid traffic competitor research.
Site Explorer plus keyword and backlink views let analysts trace visibility changes back to specific competitor pages and link patterns.
Ahrefs performs competitive website and SEO intelligence by combining backlink competitor profiling, SEO keyword gap analysis, and estimated organic traffic views in one research workflow. Its core dashboards connect organic search visibility to link acquisition patterns, which makes feature gap analysis faster than manually correlating reports across tools. Content and competitor pages can be tracked across time using alerts and saved reports, which supports ongoing monitoring for product launch monitoring and messaging changes.
- +Backlink competitor profiling links competitors to pages and anchors
- +SEO keyword gap analysis surfaces overlap and true growth opportunities
- +Site Explorer exports support repeatable internal reporting workflows
- +Monitoring tools can track changes across domains and keywords
- –Competitive analysis depends on Ahrefs index coverage, not live logs
- –Advanced workflows require disciplined list building for accuracy
- –Alerts can generate noise without clear watchlist boundaries
- –Some competitive insights are weaker for non-search channels
Best for: Fits when marketing teams need recurring competitor profiling tied to backlinks and organic visibility metrics.
Similarweb
enterpriseDigital intelligence platform benchmarking website traffic and audience behavior.
Domain Change Explorer highlights notable shifts in competitor traffic and channel behavior over time.
Similarweb is built around website traffic estimation, category benchmarking, and competitor visibility across digital channels. It combines market share benchmarking style views with competitor profiling using public web signals and its own measurement models.
Teams use it for competitor timeline tracking and market sizing inputs when direct internal data is not available. The main differentiator is how many competitor surfaces can be compared from one dashboard without switching tools.
- +Multi-competitor comparisons across traffic, channels, and market context
- +Frequent change signals for domains support competitor timeline tracking workflows
- +Benchmark views help map positioning and performance at the segment level
- +Clear source coverage for web traffic estimation and channel breakdowns
- –Direct feature-gap analysis for product UX can be incomplete without web evidence
- –Some granular attribution requires careful selection of comparable competitor sets
- –Sales enablement battle card automation needs extra workflow building outside Similarweb
- –Custom reporting flexibility is limited compared with API-first intelligence stacks
Best for: Fits when teams need fast competitor discovery and market share benchmarking signals from web traffic estimates.
Kompyte
SMBCompetitor tracking platform monitoring website changes, reviews, and messaging.
Monitored-page change detection turns website updates into an actionable competitor activity timeline for team review.
Kompyte is a competitive intelligence platform focused on tracking competitor websites and product changes at a monitored-page level. It collects signals from public web pages to generate competitor profiles and a change feed that supports feature gap analysis for sales and product teams.
The workflow emphasizes repeatable monitoring, alerting, and exportable outputs for ongoing competitor profiling cycles. Automation depth is driven by configurable monitoring targets and a structured output designed for team consumption.
- +Change monitoring ties updates to specific competitor pages and templates
- +Built-in views help organize competitor profiling by tracked websites and themes
- +Exports support repeatable battle card workflows without manual rework
- +Alerting reduces the time to spot product launch or messaging changes
- –Coverage depends on publicly reachable pages and consistent page structure
- –Complex account-wide governance and RBAC require extra process discipline
- –Deeper data normalization across multiple sources can take manual cleanup
- –Not designed for heavy analyst-style evidence linking beyond monitored content
Best for: Fits when sales and product teams need automated competitor page monitoring and periodic change summaries.
Sensor Tower
enterpriseMobile app intelligence platform for competitor download and revenue estimates.
Automated change detection surfaces notable shifts in app downloads and revenue for selected competitors.
Sensor Tower focuses on app and ad intelligence, combining estimated downloads, revenue signals, and competitive tracking for mobile apps. Its core workflow centers on competitor profiling across keywords and apps, plus change detection around promotions and performance shifts. Sensor Tower also supports market share benchmarking for mobile ecosystems and region filters that help separate local versus global movement.
- +Mobile competitor profiling ties app performance shifts to tracked keywords and regions
- +Automated detection flags notable download and revenue changes for tracked apps
- +Market share benchmarking supports ecosystem views across geographies and categories
- +Ad-focused signals add context beyond organic app store performance
- –Competitive intelligence coverage is strongest for mobile, with weaker web-only depth
- –Custom reporting often needs more clicks than a spreadsheet export workflow
- –Source aggregation breadth for non-app channels is less complete than app ecosystem coverage
- –Deep automation requires repeated configuration of watch lists and filters
Best for: Fits when teams need ongoing mobile competitor tracking across apps, keywords, and regions without web analytics dependence.
BuiltWith
SMBTechnology profiling tool revealing competitor website tech stacks.
Technology filters that generate account cohorts by specific installed tools rather than by keyword or traffic proxies.
BuiltWith aggregates technology intelligence by detecting what websites use across analytics, tag stacks, ecommerce, hosting, and marketing tools. It supports competitive profiling by letting users filter sites by specific technologies and then view associated patterns.
The core workflow centers on discovering target accounts through technology signals and using those cohorts for outreach prioritization. BuiltWith also supports automation via export workflows and an API that exposes detection results for programmatic research.
- +Technology-based competitor profiling using filters across marketing and infrastructure
- +Exports and programmatic access for building repeatable lead research workflows
- +Cohort views that group websites by detected tool usage patterns
- +Breadth of detection coverage across analytics, ads, and ecommerce tooling
- –Technology detection does not replace product-level feature gap analysis
- –Automation requires consistent matching logic and data hygiene to avoid false cohorts
- –Tends to rely on third-party script and stack visibility rather than first-party intent
- –Limited depth for win-loss analysis fields compared with CRM-linked intelligence
Best for: Fits when go-to-market teams use technology signals to profile competitors, find similar accounts, and prioritize outreach.
Wappalyzer
SMBCross-platform technology profiler detecting competitor website technologies.
Technology detection on live pages with repeat scans to flag vendor and stack changes across a domain set.
Wappalyzer detects technologies on websites and turns those signals into competitor profiles across domains, CMS stacks, and third-party services. The core workflow centers on scanning URLs, mapping detected technologies, and exporting results for comparison and reporting.
Its strongest competitive angle for analysis work is repeatable change detection across targets and technology-based differentiation rather than content or ranking metrics. Administratively, it is geared more toward workflow runs and exports than governed multi-user collaboration for large intelligence teams.
- +URL scanning produces actionable tech fingerprints for fast competitor profiling
- +Exports support feature comparison matrix work for marketing and product stakeholders
- +Change detection across repeated scans helps track stack and vendor shifts over time
- +Extensible detection categories cover common platforms, scripts, and infrastructure
- –Limited depth for market share, win-loss, and messaging analysis versus category peers
- –Automation and API surface are less suited for high-throughput competitor monitoring
- –Governance controls for multi-team collaboration are less granular than enterprise CI tools
- –Detection quality depends on page exposure of scripts and headers
Best for: Fits when competitor analysis needs repeatable website tech profiling and stack change tracking without heavy governance.
Conclusion
After evaluating 10 marketing advertising, Brandwatch stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right competitive analysis software
Competitive analysis software supports repeatable competitor profiling, change detection, and reporting that translate external signals into shareable artifacts for marketing and sales teams. This guide covers Brandwatch, Semrush, Crayon, Feedly, Ahrefs, Similarweb, Kompyte, Sensor Tower, BuiltWith, and Wappalyzer, with side-by-side emphasis on Klue, Semrush, and Crayon for sales use cases.
The most decisive differences show up in integration depth, how each tool models monitoring sources and competitor sets, and how automation and API access fit into analyst and CRM workflows. Brandwatch leads with visual-first consumer research that combines Iris AI theme detection with Image Insights logo recognition, while Semrush centralizes web, ad, and social change signals through EyeOn and market comparisons through Market Explorer.
Competitive analysis software for competitor change detection, profiling, and sales enablement outputs
Competitive analysis software aggregates signals from websites, news, social content, and platform telemetry, then turns those signals into competitor activity timelines, benchmarking views, and structured comparisons. Brandwatch uses visual content analysis to detect themes and identify brand appearances in social and forum assets, which is then packaged into configurable reporting for research and marketing workflows.
Semrush focuses on search and advertising intelligence plus competitor monitoring across websites, rankings, ads, and social activity through EyeOn, then ties those comparisons together via Market Explorer. Crayon centers on automated competitor change detection with analyst review across web, news, social, and customer review sources, then connects findings to sales enablement battle cards for downstream sales processes.
Competitive analysis features that change monitoring quality and downstream output
Strong competitive analysis software turns signals into repeatable competitor activity timelines and structured comparisons for marketing and sales execution. Tool behavior varies most on how monitoring sources map to a competitor set, how change detection is triggered, and how outputs become battle cards or comparison artifacts.
Visual and unstructured brand signal extraction
Brandwatch pairs Iris AI theme detection with Image Insights logo recognition to capture visual brand appearances across social and forum content. This reduces manual review when competitors change messaging formats without changing keywords.
Web, SEO, and ad monitoring in one change workspace
Semrush EyeOn tracks changes across competitor websites, rankings, advertisements, and social activity in a single workspace. Semrush Market Explorer connects audience, traffic, and competitor comparisons for planning and prioritization.
Analyst-reviewed competitor change detection tied to sales enablement
Crayon automates competitor change detection across websites, news, social channels, and customer reviews, then routes findings to sales enablement battle cards. This connection supports recurring battle-card updates tied to observed competitor activity.
Monitoring workspaces built for triage and persistent research threads
Feedly Collections act as persistent competitor monitoring workspaces that organize source scanning through tagging and recurring review. This structure supports continuous intake even when teams do not need built-in feature gap outputs.
Backlink and keyword traceability back to competitor pages
Ahrefs combines Site Explorer with SEO keyword and backlink views to trace visibility changes back to specific competitor pages and link patterns. This is best suited when backlink competitor profiling and keyword overlap need to drive market positioning work.
Multi-competitor traffic and channel change signals
Similarweb Domain Change Explorer highlights shifts in competitor traffic and channel behavior over time. This helps build competitor timeline tracking signals when teams need rapid discovery and benchmarking from web traffic estimates.
Decision framework for competitive analysis software monitoring, governance, and automation
The right competitive analysis tool depends on whether monitoring outputs are meant for analyst research, sales enablement, or cross-channel marketing planning. The next steps separate tools by how they model competitor sets, where change detection logic lives, and how outputs flow into downstream workflows through integrations and automation controls.
Select the monitoring source model based on what changes for competitors
If competitor activity shows up as visuals, Brandwatch’s Iris AI theme detection and Image Insights logo recognition capture theme and brand appearance signals from social and forum content. If competitor activity shows up as search and advertising motion, Semrush EyeOn centralizes website, ranking, ad, and social change signals in one workspace.
Choose the output purpose: battle cards, profiling, or curated intelligence threads
If the end artifact is a sales enablement battle card updated from observed changes, Crayon connects monitored competitor findings to battle cards for CRM and sales workflows. If the end artifact is a recurring reading and triage process, Feedly organizes monitoring into Collections that keep competitor research threads in one place.
Decide how competitor comparison should be grounded: index coverage or web evidence
If comparison needs backlink competitor profiling and SEO keyword overlap grounded in indexed crawl data, Ahrefs supports recurring competitor profiling through backlink and keyword views. If the comparison needs fast market share benchmarking signals from web traffic estimates, Similarweb provides multi-competitor change signals via Domain Change Explorer.
Validate change detection governance before scaling to many competitors
If scaling requires strict alert governance across many tracked pages and accounts, Kompyte ties monitored-page changes into a competitor activity timeline but needs disciplined governance and RBAC processes. If governance is less formal and the team wants low-friction technology scanning, Wappalyzer focuses on repeat scans for technology and stack change detection without deep win-loss or messaging coverage.
Stress-test automation throughput against how sources get selected and matched
If competitor monitoring accuracy depends on selecting sources and maintaining alert governance, Crayon’s setup relies on careful source selection and competitor taxonomy. If the team’s monitoring is based on RSS and topic curation, Feedly’s automation relies more on feed management than change detection workflows.
Who competitive analysis software fits best
Different competitive analysis workflows map to different team responsibilities. Some teams need visual extraction from social content, while others need website and search change signals to feed marketing and sales execution.
Global marketing and research teams managing visual messaging across social and forums
Brandwatch fits teams that need visual analysis using Iris AI theme detection and Image Insights logo recognition to capture brand appearances that do not match keyword patterns.
Marketing teams that run SEO and paid media planning with competitor change monitoring
Semrush fits teams that want EyeOn monitoring across websites, rankings, advertisements, and social activity in one place, then use Market Explorer for audience and traffic comparisons.
Sales enablement teams that maintain battle cards tied to observed competitor activity
Crayon fits organizations that want automated competitor change detection across web, news, social, and reviews, then connect findings directly to sales enablement battle cards.
Sales and product teams that track competitor page updates into timelines for recurring reviews
Kompyte fits teams that want automated competitor page monitoring that turns updates into actionable competitor activity timelines for periodic review cycles.
Go-to-market teams prioritizing prospecting lists using technology installed signals
BuiltWith fits teams that build competitor-like cohorts using technology filters and export workflows to support repeatable lead research.
Common competitive analysis mistakes that break monitoring quality
Competitive analysis fails when monitoring scope does not match the way competitors actually change, or when outputs cannot be used in the team’s workflow. These pitfalls show up repeatedly when teams scale monitoring without governance, or when teams mistake modeled traffic estimates for evidence-based feature gap findings.
Expecting SEO and traffic estimates to replace product-level feature gap evidence
Similarweb can show Domain Change Explorer shifts from web traffic estimates, but direct feature-gap analysis for product UX can be incomplete without web evidence. Ahrefs supports more grounded traceability through backlink and keyword overlap tied to specific pages.
Launching automation without a defined competitor taxonomy and alert governance
Crayon’s setup requires careful source selection, competitor taxonomy, and alert governance to prevent noisy change detection across websites, news, social, and reviews. Kompyte also depends on coverage of publicly reachable pages and consistent page structure.
Using technology scanning as the primary substitute for messaging and win-loss intelligence
Wappalyzer’s URL scanning supports technology fingerprints and repeat scans for stack changes, but it has limited depth for market share, win-loss, and messaging analysis versus category peers. BuiltWith technology detection similarly supports cohorts but does not replace product-level feature gap analysis.
Building monitoring queries that cannot handle multilingual or high-volume programs
Brandwatch can deliver strong visual extraction, but query design becomes complex for multilingual, high-volume monitoring programs. Teams should plan query complexity before scaling the monitoring set.
Assuming the tool will produce battle cards without workflow design
Semrush tracks changes through EyeOn and comparisons through Market Explorer, but it lacks native sales battle-card authoring and CRM-based competitor alerts. Crayon better matches battle-card workflows because it connects findings to sales enablement battle cards.
How We Selected and Ranked These Tools
We evaluated Brandwatch, Semrush, and Crayon as sales-focused candidates by mapping competitor change detection behavior to downstream artifacts like battle cards and ongoing team workflows. Features accounted for 40% of scoring, ease and value each accounted for 30% of scoring, and totals reflect the ability to produce usable competitive outputs with less rework.
Brandwatch earned the top rank through visual-first consumer research that combines Iris AI theme detection and Image Insights logo recognition across visual social content. Semrush earned strong placement by centralizing competitor change tracking across websites, rankings, advertisements, and social activity through EyeOn while supporting structured comparisons via Market Explorer.
Frequently Asked Questions About competitive analysis software
Which tool is better for search-led competitor intelligence across SEO, ads, and backlinks?
Which platform supports monitored change detection that feeds sales battlecards and CRM workflows?
How does automated competitor change detection differ between Crayon, Kompyte, and Sensor Tower?
When should teams choose Brandwatch over Semrush for competitor intelligence tied to social and visuals?
Where does BuiltWith fall short compared with Wappalyzer when the goal is repeatable stack change tracking across a domain set?
What breaks if an organization needs competitor change timelines with analyst review rather than raw signals?
How do integrations and distribution workflows typically differ between Crayon and Brandwatch?
Which tool is best for technology-driven account discovery before competitor profiling work?
What is the main tradeoff between Similarweb’s traffic model focus and Semrush’s search execution focus?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Marketing AdvertisingTop 10 Best Competitive Pricing Analysis Software of 2026
- Marketing AdvertisingTop 10 Best Search Engine Optimization Website Analysis Software of 2026
- Marketing AdvertisingTop 10 Best Seo Competition Analysis Software of 2026
- Marketing AdvertisingTop 10 Best Competitor Analysis Software of 2026
- Real Estate PropertyTop 10 Best Comparative Market Analysis Software of 2026
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Marketing Advertising alternatives
See side-by-side comparisons of marketing advertising tools and pick the right one for your stack.
Compare marketing advertising tools→