Australia verdict (TL;DR)
Verified 2026-05-24Australian BI is Microsoft-anchored at the enterprise end. Power BI dominates at the Big 4 banks, BHP, Rio Tinto, Telstra, Coles, Woolworths and most federal departments because Microsoft 365 E5 includes it and Azure Australia East/Central provides residency. Tableau holds second-place enterprise share at IAG, Suncorp, ANZ, NAB and Macquarie. Looker is the GCP-anchored choice at Wesfarmers and several federal agencies. Metabase is the open-source default at Aussie tech firms (Atlassian, Canva, SafetyCulture, Linktree, Culture Amp). Sigma and Hex grow fast at modern Aussie data teams. ThoughtSpot serves specific Aussie enterprise. Mode and Domo trail. Qlik Sense holds Aussie healthcare niches.
Picks for Australia
- Microsoft-anchored Aussie enterprise: power-bi Power BI is the default at CBA, NAB, Telstra, BHP, Coles and most federal departments. Bundled with Microsoft 365 E5, Azure Australia East/Central residency, IRAP at PROTECTED for Aussie federal use.
- Aussie enterprise with strong analytics-team capability: tableau Tableau is the long-standing Aussie enterprise BI choice at IAG, Suncorp, ANZ, NAB, Macquarie and several Aussie universities. AWS Sydney residency on enterprise tier.
- GCP-anchored Aussie enterprise: looker Looker (Google Cloud) runs at Wesfarmers, Bunnings, several federal agencies and Aussie tech firms on GCP. LookML governance fits enterprise data-team workflows.
- Aussie tech scale-up wanting OSS-friendly BI: metabase Metabase is the default at Aussie tech firms (Atlassian, Canva, SafetyCulture, Linktree, Culture Amp, Employment Hero, Octopus Deploy). Cheap, fast, self-hostable on AWS Sydney.
- Aussie data team running modern warehouse-native BI: sigma Sigma is the fastest-growing Aussie data team choice in 2026. Warehouse-native (Snowflake, BigQuery), spreadsheet-style UX that finance teams adopt without training.
- Aussie analytics or data-science team needing notebooks plus dashboards: hex Hex is the Aussie data-science team default at Atlassian-adjacent, Canva-adjacent and SafetyCulture-adjacent firms. Notebooks plus dashboards plus collaboration in one tool.
How the business intelligence (bi) software market looks in Australia
Australia's BI market is Microsoft-anchored at the enterprise end. Power BI is the dominant Aussie enterprise BI choice because Microsoft 365 E5 (heavily licensed across the Big 4 banks, BHP, Rio Tinto, Telstra, Coles, Woolworths and most federal departments) includes Power BI Pro, and Azure Australia East/Central provides the data residency that APRA CPS 234 and federal IRAP requirements demand. Microsoft Fabric (launched 2023) consolidated the Aussie data-and-BI stack at most large enterprises into a single platform, reducing Tableau and Qlik renewals.
Tableau holds entrenched Aussie enterprise positions at IAG, Suncorp, ANZ, NAB, Macquarie and several Aussie universities (Sydney, Melbourne, ANU, UNSW). Tableau's Aussie partner ecosystem (DiUS, Servian, Capgemini Australia, Deloitte Aussie analytics) is mature. Looker is the GCP-anchored choice at Wesfarmers, Bunnings and several federal agencies that adopted Google Cloud through 2020-2023. ThoughtSpot has Aussie enterprise pilots but limited scale.
Aussie tech firms have largely standardised on Metabase as the open-source default. Atlassian, Canva, SafetyCulture, Linktree, Culture Amp, Employment Hero, Deputy, Octopus Deploy, Go1, WiseTech, Pro Medicus and most Aussie B2B SaaS run Metabase self-hosted on AWS Sydney for internal analytics. Sigma and Hex grew sharply in 2024-2026 at Aussie modern data teams running Snowflake or BigQuery warehouses. Mode, Domo and Qlik Sense have smaller Aussie footprints, with Qlik retaining Aussie healthcare niches (Ramsay, Healthscope, Sonic Healthcare).
Aussie federal-government BI is split. The Department of Home Affairs, Defence and intelligence agencies prefer Power BI inside Azure Australia Central PROTECTED tenant. The ATO, Services Australia, ASIC, APRA and AUSTRAC run mixed Power BI and Tableau stacks. State governments (NSW, Victoria) standardised on Power BI in recent years. Aussie universities split Tableau, Power BI and Looker depending on cloud anchor. ASD-aligned Defence requires self-hosted BI inside Defence-controlled networks.
BI software in Australia handles aggregated and sometimes individual personal information under the Privacy Act 1988. APP 11 security obligations apply to dashboards holding PII, with NDB scheme requiring 30-day OAIC notification for eligible breaches. APRA CPS 234 information-security applies to BI at banks, insurers and super funds, with explicit requirements on access management and audit logging. CPS 230 operational risk (effective mid-2025) extends to BI as material technology where decisions depend on it. ASIC Market Integrity Rules and the Corporations Act 2001 require record retention of analytics used in financial-services decisions. ATO requires record-keeping for tax-related analytics for 5 years. The Public Service Act 1999 and APS Information Management Standards govern federal BI. ASD Information Security Manual (ISM) controls apply at Defence. Federal procurement requires IRAP at OFFICIAL or PROTECTED, with Power BI in Australia Central GCC, AWS-hosted Tableau, Looker on GCP Sydney all having relevant attestations. SOCI Act 2018 covers BI material to critical-infrastructure operators. The Workplace Gender Equality Act 2012 requires reporting from >100-employee employers, with BI feeding compliance reporting. Modern Slavery Act 2018 statements apply at >A$100M revenue. The Aussie Consumer Data Right (CDR) feeds analytics use cases. Aboriginal and Torres Strait Islander data sovereignty principles (Maiam nayri Wingara) influence BI data-handling at some Aussie organisations.
Quick comparison, ranked for Australia
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 1 Microsoft Power BI | Microsoft 365 enterprises | $0 + $0/emp | $0 | 4.4 | Global | |
| 2 Tableau | Analyst-led mid-market and enterprise | $15/emp | $150 | 4.4 | Global | |
| 3 Looker | Google Cloud-anchored enterprise | $0 + $0/emp | $0 | 4.4 | Global | |
| 4 Metabase | Engineering-led SMB and mid-market | $0 + $0/emp | $0 | 4.5 | Global | |
| 5 Sigma | Cloud data warehouse-anchored organizations | Quote | - | 4.6 | Global | |
| 6 ThoughtSpot | Mid-market and enterprise | Quote | - | 4.5 | Global | |
| 10 Hex | SaaS data teams | $0 + $0/emp | $0 | 4.7 | Global | |
| 8 Qlik Sense | Traditional enterprise | Quote | - | 4.4 | Global | |
| 9 Mode | SaaS analyst teams | Quote | - | 4.5 | Global | |
| 7 Domo | SMB and mid-market without dedicated data stack | Quote | - | 4.3 | Global |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
What buyers in Australia actually pay
Median annual deal size by employee band, in AUD. Crowdsourced from anonymized buyer disclosures.
| Product | Employee band | Median annual (AUD) | Sample | Notes |
|---|---|---|---|---|
| Microsoft Power BI | Aussie enterprise 1,000-10,000 employees | A$285,000 | 32 | Power BI Premium Per User plus Pro AUD, Aussie enterprise tier |
| Tableau | Aussie enterprise | A$380,000 | 22 | Tableau Cloud Enterprise AUD, Aussie enterprise |
| Looker | Aussie GCP-anchored enterprise | A$285,000 | 14 | Looker Enterprise AUD, Aussie GCP-anchored |
| Metabase | Aussie tech scale-up | A$28,000 | 48 | Metabase Cloud Pro AUD or self-hosted infra cost, Aussie scale-up |
| Sigma | Aussie modern data team | A$95,000 | 22 | Sigma Pro AUD, Aussie modern data team |
| Hex | Aussie data-science team | A$62,000 | 18 | Hex Professional AUD, Aussie data-science team |
| ThoughtSpot | Aussie enterprise | A$145,000 | 12 | ThoughtSpot Cloud Enterprise AUD |
Australia-built or Australia-strong vendors worth knowing
Not yet ranked in our global top 10, but credible options for Australia buyers and worth a shortlist.
DiUS (Mantel Group)
Visit ↗Aussie-built data and BI consultancy now part of Mantel Group. Strong Tableau, Looker and Power BI implementation across Aussie enterprise.
Servian (Cognizant)
Visit ↗Aussie-built data consultancy acquired by Cognizant. Major Aussie enterprise data and BI implementation partner.
Yellowfin BI
Visit ↗Melbourne-headquartered. Aussie-built BI platform. Niche enterprise deployments, particularly in Aussie government and healthcare.
Snowflake ANZ
Visit ↗Snowflake (not BI itself but the dominant Aussie cloud warehouse) on AWS Sydney is the underlying data layer for most modern Aussie BI deployments.
All 10, ranked for Australia
Same intelligence as the global ranking, vendor trust, review patterns, verified pricing, compliance, reordered for the Australia market.
Microsoft Power BI
Enterprise BI default for Microsoft 365 shops.
Power BI is the enterprise BI default driven by bundle economics, at $10/user (Pro tier, bundled into Microsoft 365 E5 at no extra cost), it's effectively free for organizations already on Microsoft 365 E5. The product has overtaken Tableau in market share since 2020 through Microsoft's integration advantages: native Excel, Microsoft Fabric data platform, Azure Data Lake, and Copilot AI. Trade-offs: best-fit only when Microsoft-anchored; non-Microsoft organizations get less value.
Microsoft 365-anchored enterprises (500+ employees) wanting BI bundled with productivity stack.
Google Workspace organizations (Looker better), non-Microsoft analyst teams (Tableau better), or open-source-leaning engineering teams (Metabase wins).
Strengths
- Bundle economics ($10/user; free in E5)
- Native Microsoft 365 + Azure + Fabric integration
- Largest BI install base globally
- Microsoft Copilot AI in Power BI
- Strong DAX modeling language
- Public company financial transparency
Weaknesses
- Best-fit only for Microsoft-anchored orgs
- Premium tier ($14-$24K/capacity) for advanced features
- Mac users get limited functionality
- DAX learning curve steep
- Dataflow performance can lag
Pricing tiers
public- Power BI FreePersonal use; cannot share$0+$0 /mo +/emp
- Power BI ProPer user; included in Microsoft 365 E5$10 /emp/mo
- Power BI Premium Per UserPer user with Premium features$20 /emp/mo
- Power BI Premium CapacityPer capacity unit; shared org-wide$4995 /mo
- Microsoft FabricUnified data platformQuote
- · Premium capacity for embedded analytics ($5K+/month)
- · Microsoft Fabric data platform separate
Key features
- +Native Excel integration
- +DAX modeling
- +Power BI Copilot AI
- +Mobile apps
- +Microsoft Fabric integration
- +Embedded analytics
- +500+ data connectors
Tableau
Best-in-class visualization for analyst-led teams.
Tableau is the visualization leader, the product's strength is the deepest, most polished visualization library in the category. Analyst-led teams consistently prefer Tableau for ad-hoc exploration and dashboard design quality. Acquired by Salesforce in 2019 for $15.7B. Trade-offs: pricing has escalated under Salesforce ($15-$75/user/month), Tableau Cloud Online vs Tableau Server licensing complexity, and the August 2025 6% Salesforce-wide price increase.
Analyst-led teams (10-1,000 analysts) where ad-hoc exploration and visualization quality drive value.
Microsoft-anchored enterprises (Power BI cheaper), engineering-led BI (Metabase wins), or budget-conscious teams.
Strengths
- Best-in-class visualization library
- Analyst-led teams consistently prefer it
- Made for ad-hoc exploration
- Tableau Pulse AI for natural language
- Salesforce CRM integration
Weaknesses
- Pricing escalated under Salesforce
- August 2025 6% price increase
- Tableau Cloud Online vs Server complexity
- Performance lags Power BI at scale
- Implementation requires training
Pricing tiers
public- ViewerView-only access$15 /emp/mo
- ExplorerEdit and explore$42 /emp/mo
- CreatorFull Tableau Desktop + Cloud$75 /emp/mo
- Tableau EnterpriseCustom enterprise tierQuote
- · Salesforce CRM separate
- · Multi-year contracts standard
- · August 2025 6% price increase
Key features
- +Tableau Desktop + Cloud
- +Visualization library
- +Tableau Pulse AI
- +Salesforce CRM integration
- +Mobile apps
- +Embedded analytics
- +500+ data connectors
Looker
Google Cloud / BigQuery anchored enterprise BI.
Looker is the modern enterprise BI built around the LookML semantic layer, a programmatic approach to defining business metrics that engineering teams can version-control. Acquired by Google in 2019 for $2.6B. Best-fit for organizations on Google Cloud and BigQuery where Looker's native integration is differentiating. Trade-offs: pricing is opaque (custom enterprise), implementation requires LookML expertise.
Enterprises on Google Cloud / BigQuery with engineering-led data teams that value LookML semantic layer.
Microsoft-anchored orgs (Power BI cheaper), analyst-led teams (Tableau better), or anyone wanting transparent pricing.
Strengths
- LookML semantic layer (version-controllable metrics)
- Native BigQuery integration
- Google Cloud security and governance
- Best for engineering-led data teams
- Looker Studio (formerly Data Studio) free tier
Weaknesses
- Pricing opaque (custom enterprise)
- Implementation requires LookML expertise
- Best-fit narrowed to Google Cloud orgs
- UI complexity vs Power BI
- Looker vs Looker Studio brand confusion
Pricing tiers
opaque- Looker StandardIndustry estimate $30K-$100K annuallyQuote
- Looker EnterpriseIndustry estimate $100K-$500K annuallyQuote
- Looker StudioFree; basic dashboards$0+$0 /mo +/emp
- · BigQuery costs separate
- · Implementation services
- · Multi-year contracts standard
Key features
- +LookML semantic layer
- +Native BigQuery integration
- +Embedded analytics (Liquid templating)
- +Mobile apps
- +Looker Studio (free dashboards)
- +Duet AI for Looker
- +Data Actions
Metabase
Open-source BI for engineering-led teams.
Metabase is the open-source BI default for engineering-led teams that want analytics without enterprise pricing. The product's strength is the lowest setup time in the category, connect to a database and get a working BI tool in under an hour. Free open-source self-hosted version is genuinely free; cloud offering ($85/month + per-user) for managed hosting. Trade-offs: enterprise governance features less mature, customer support gated to paid tiers.
Engineering-led SMB and mid-market (5-500 employees) wanting BI without enterprise pricing.
Enterprise governance-heavy orgs (Power BI/Tableau better), traditional analyst teams, or non-technical-led organizations.
Strengths
- Free open-source self-hosted version
- Lowest setup time in category
- Fits engineering-led teams
- Modern UX
- Native query builder + SQL editor
- Embedded analytics in Pro tier
Weaknesses
- Enterprise governance features less mature
- Self-hosted requires DevOps capacity
- Customer support gated to paid tiers
- Pricing scales with users on cloud version
Pricing tiers
public- Open SourceSelf-hosted; unlimited users$0+$0 /mo +/emp
- Cloud StarterUp to 5 users; managed hosting$85 /mo
- Cloud ProPer 50 users; SSO, embedded analytics$500 /mo
- EnterpriseSelf-hosted + Pro features + dedicated supportQuote
- · Self-hosted requires DevOps capacity
- · Cloud pricing scales with users
Key features
- +Query builder
- +SQL editor
- +Dashboards and pulses
- +Embedded analytics (Pro)
- +API for custom workflows
- +X-ray (auto-explore)
- +Native database connectors
Sigma
Modern cloud-native BI built on Snowflake.
Sigma is the modern cloud-native BI built on Snowflake (and Databricks, BigQuery, Redshift). The product's strength is the spreadsheet-friendly UX, non-technical users can explore data with Excel-style formulas while data lives natively in the warehouse. Built for orgs already on Snowflake. Trade-offs: best-fit narrowed to cloud data warehouse users, pricing requires sales engagement at higher tiers.
Cloud data warehouse-anchored organizations (Snowflake, BigQuery, Databricks) wanting spreadsheet-friendly BI.
Non-cloud-warehouse orgs (Tableau/Power BI better), open-source-leaning teams (Metabase wins), or budget-conscious SMBs.
Strengths
- Cloud-native architecture on Snowflake/Databricks
- Spreadsheet-friendly UX for non-technical users
- Made for orgs already on Snowflake
- Modern collaboration features
- Strong embedded analytics
Weaknesses
- Best-fit narrowed to cloud data warehouse users
- Pricing requires sales engagement at higher tiers
- Smaller integration ecosystem than Power BI
- Brand recognition lower than Tableau
Pricing tiers
partial- EssentialsIndustry estimate $400/user/yearQuote
- ProfessionalIndustry estimate $700/user/yearQuote
- EnterpriseCustom enterprise tierQuote
- · Multi-year contracts standard
- · Implementation services
Key features
- +Cloud data warehouse native
- +Spreadsheet-style formulas
- +Collaboration features
- +Embedded analytics
- +Sigma AI assistant
- +API for custom workflows
- +Data writeback
ThoughtSpot
Search-driven AI BI.
ThoughtSpot pioneered search-driven BI, natural language questions to data without SQL or pre-built dashboards. The product's positioning: "Google for your data." Best for organizations where business users need to ask ad-hoc questions without analyst gatekeeping. Acquired Mode 2023. Trade-offs: pricing high (enterprise-only), implementation requires data prep, brand momentum has been mixed.
Mid-market and enterprise (200-5,000 employees) where business users need to ask ad-hoc questions without analyst gatekeeping.
SMB (Metabase cheaper), budget-conscious teams, or organizations with mature analyst teams (Tableau or Looker better fit).
Strengths
- Natural language search-first interface
- Right call for "ask data questions" use cases
- AI-driven insights
- ThoughtSpot Sage AI
- Mode acquisition expanded SQL-led BI
- Modern UX
Weaknesses
- Pricing high (enterprise-only)
- Implementation requires data prep
- Brand momentum mixed
- Best-fit ceiling on data complexity
- Uneven support quality
Pricing tiers
opaque- ThoughtSpot ProIndustry estimate $30K-$100K annually mid-marketQuote
- ThoughtSpot EnterpriseIndustry estimate $100K-$500K annually enterpriseQuote
- · Implementation services
- · Multi-year contracts standard
Key features
- +Natural language search
- +Sage AI assistant
- +AI-driven insights
- +Liveboards (dashboards)
- +Embedded analytics
- +API for custom workflows
- +Mode (analyst SQL) acquisition
Hex
Modern analyst notebooks + apps + AI.
Hex is the modern data analyst platform combining notebooks, dashboards, and AI agents on one surface. Best-fit for SaaS data teams who want to build interactive data apps without engineering. Magic AI launched 2023, now central to the product. Trade-offs: best-fit narrowed to mature data teams, pricing requires sales engagement.
SaaS data teams (10-500 analysts) wanting to build interactive data apps with AI assistance.
Non-technical business users (Power BI/Tableau better), enterprise governance-heavy orgs, or simple newsletter-style dashboarding.
Strengths
- Modern notebooks + dashboards + apps
- Hex Magic AI for natural language to SQL
- Right call for SaaS data teams
- Collaboration features
- Native cloud data warehouse integration
Weaknesses
- Best-fit narrowed to mature data teams
- Pricing requires sales engagement
- Smaller market presence than category leaders
- Best-fit ceiling on enterprise governance
Pricing tiers
partial- PersonalFree for personal use$0+$0 /mo +/emp
- TeamPer user; collaboration features$24 /emp/mo
- ProfessionalAdds Hex Magic AI, advanced features$60 /emp/mo
- EnterpriseCustom enterprise tierQuote
- · Hex Magic AI add-on
- · Multi-year contracts at enterprise
Key features
- +Notebooks + dashboards + apps
- +Hex Magic AI
- +SQL + Python + R
- +Collaboration features
- +Native cloud DWH integration
- +Reactive cells
- +API
Qlik Sense
Long-standing enterprise associative BI.
Qlik Sense is the long-standing enterprise BI platform with the distinctive associative engine, a column-store architecture that lets users explore data ad-hoc without pre-defining relationships. Acquired by Thoma Bravo in 2016 for $3B; merged with Talend (data integration) in 2023. Trade-offs: pricing high, brand momentum has slowed, post-PE-acquisition pricing escalation.
Traditional enterprises (1,000+ employees) with mature BI programs that want associative engine ad-hoc exploration.
SMB (Metabase cheaper), modern cloud-native teams (Sigma better), or anyone affected by PE-driven pricing.
Strengths
- Distinctive associative engine for ad-hoc exploration
- Long-standing enterprise BI brand
- Talend (data integration) merger expands scope
- Made for traditional enterprise
- Mature governance features
Weaknesses
- Pricing high
- Brand momentum slowed
- Post-Thoma Bravo pricing escalation
- UI feels dated vs Power BI
- Customer support quality flagged
Pricing tiers
opaque- Qlik Sense BusinessIndustry estimate $30K-$100K annuallyQuote
- Qlik Sense Enterprise SaaSIndustry estimate $100K-$500K annuallyQuote
- · Talend (data integration) priced separately
- · Multi-year contracts standard
Key features
- +Associative engine
- +Self-service analytics
- +Embedded analytics
- +Talend data integration (separate)
- +Qlik AutoML
- +Mobile apps
Mode
Analyst-focused SQL-led BI.
Mode is the SQL-first BI platform built for analyst teams. Acquired by ThoughtSpot in 2023 for $200M, now positioned as the analyst-focused complement to ThoughtSpot's search-led BI. Best for SaaS analyst teams comfortable in SQL who want notebooks + dashboards. Trade-offs: best-fit narrowed to SQL-comfortable teams, post-acquisition product positioning still settling.
SaaS analyst teams (5-200 analysts) comfortable in SQL who want notebooks + dashboards on one platform.
Non-technical business users (Power BI/Tableau better), enterprise governance-heavy orgs (Looker wins), or budget-conscious teams.
Strengths
- SQL-first; best fit for analyst teams
- Notebooks + dashboards
- Strong R/Python integration
- Modern UX
- API for custom workflows
Weaknesses
- Best-fit narrowed to SQL-comfortable teams
- Post-ThoughtSpot acquisition positioning still settling
- Smaller integration ecosystem than Tableau/Power BI
- Pricing requires sales engagement
Pricing tiers
opaque- Mode StudioIndustry estimate $400-$700/user/yearQuote
- Mode EnterpriseIndustry estimate $1,200+/user/yearQuote
- · Multi-year contracts standard
- · Annual billing
Key features
- +SQL editor
- +Notebooks (Python/R)
- +Dashboards
- +Embedded analytics
- +API for custom workflows
- +Visual explorer
Domo
Full data platform with BI for SMB-mid.
Domo is the all-in-one data platform, BI + ETL + data warehouse + dashboards on one platform. Works for SMBs and mid-market that don't yet have a dedicated data stack and want one platform to handle everything. Trade-offs: pricing requires sales engagement, brand momentum has slowed, Support depends on tier.
SMB and mid-market organizations (50-1,000 employees) without dedicated data warehouse wanting one platform for BI + data integration.
Mature data teams with separate warehouse (Tableau/Sigma better fit), Microsoft-anchored orgs, or anyone wanting data layer flexibility.
Strengths
- All-in-one platform (BI + ETL + warehouse)
- Built for SMBs without dedicated data stack
- 1,000+ data connectors
- Modern UX
- Mobile-first design
Weaknesses
- Pricing requires sales engagement
- Brand momentum slowed
- Support inconsistency reported
- Best-fit ceiling around 5,000 users
- Lock-in to Domo data layer
Pricing tiers
opaque- StandardIndustry estimate $20K-$80K annually SMBQuote
- EnterpriseIndustry estimate $80K-$300K annually mid-enterpriseQuote
- · Multi-year contracts standard
- · Implementation services
Key features
- +BI + ETL + warehouse on one platform
- +1,000+ data connectors
- +Mobile-first design
- +Domo AI Service Layer
- +Custom apps
- +Data sharing
Frequently asked questions
The questions buyers actually ask before they sign.
Why is Power BI so dominant in Aussie enterprise?
Where should BI data sit for an Aussie bank or insurer?
What BI tools do Aussie tech firms standardise on?
Power BI vs Tableau vs Looker, which one?
How much should I budget for BI?
How long does BI implementation take?
Should I pick a cloud data warehouse-aligned BI?
How do AI features compare in 2026?
Should I evaluate via free trial?
What about embedded analytics?
How does this differ from data warehouse / ETL software?
Final word
Looking at a different market? See the global Business Intelligence (BI) Software ranking, or pick another country at the top of this page.
Last updated 2026-05-24. Local pricing reverified quarterly. Found something inaccurate? Tell us.