Cribl Organic Growth Opportunities

Create a massive library of pre-calculated ROI sheets for every combination of data volume, retention period, and competitor tool. This play directly targets high-intent buyers making budget decisions by providing instant, tangible cost-saving projections.

Example Keywords

• "Splunk cost for 5 TB per day"
• "Elastic hot vs warm storage price 90 days"
• "reduce Datadog log bill 12-month retention"
• "[Competitor] cost calculator"

Rationale

Buyers in the late stages of their journey are intensely focused on Total Cost of Ownership (TCO). By providing thousands of static pages that answer these specific, high-value financial questions, Cribl can intercept users at the point of purchase decision and immediately demonstrate a compelling ROI against any competitor.

Topical Authority

Cribl already demonstrates authority with its existing pricing pages, which drive significant traffic. Expanding this into a granular, competitor-focused calculator for every conceivable scenario would establish Cribl as the definitive resource for understanding and controlling observability costs, a core part of their value proposition.

Internal Data Sources

Leverage the internal win-loss database containing anonymized before/after customer ingest volumes and costs. This can be combined with data from the existing 'cribl pricing' calculator endpoint and anonymized customer bills to create highly accurate and defensible cost models.

Estimated Number of Pages

21,600+ (60 volume tiers × 12 retention tiers × 30 incumbent vendors)

Develop a comprehensive index of mapping cards that show how every field across major telemetry schemas (OCSF, ECS, OTEL) aligns. Each page will detail how to normalize these disparate fields using Cribl, solving a daily, complex problem for data engineers.

Example Keywords

• "OCSF dst_port field meaning"
• "ecs.source.ip vs otel net.peer.ip"
• "normalize device.vendor to OCSF"
• "map AWS CloudTrail to Elastic Common Schema"

Rationale

Data normalization is a foundational challenge in observability and security. By creating a definitive, cross-schema dictionary, Cribl can become an indispensable resource for practitioners, attracting users who are actively designing and building data pipelines and are looking for tools to simplify the process.

Topical Authority

The domain already ranks for 'data normalization', receiving over 500 monthly visits to that single page. This play explodes that authority across thousands of specific, long-tail terms, solidifying Cribl's position as the expert in telemetry data structure and transformation.

Internal Data Sources

Utilize internal Normalization Pack lookup tables which contain pre-built mappings. This can be enriched with anonymized pipeline metrics from the Edge/Stream fleet showing the prevalence of certain fields, adding a unique, data-driven layer of insight.

Estimated Number of Pages

5,500+ (5 major schemas × ~1,100 fields each)

Generate static heatmap pages calculating log egress fees and latency for every possible cloud region-to-destination pair. Each page will feature a Cribl Edge savings overlay, visually demonstrating how local processing eliminates these costs.

Example Keywords

• "data egress cost us-east-1 to eu-west-2"
• "azure germany-west log export price"
• "reduce cloudwatch egress fees"
• "gcp inter-region network pricing"

Rationale

Cloud egress fees are a significant and often unpredictable cost for enterprises, representing a major pain point for budget holders. This play targets users actively researching these costs, allowing Cribl to introduce its Edge product as a direct, quantifiable solution to a problem competitors' architectures often exacerbate.

Topical Authority

While Cribl has content on cost control, it lacks specificity at the network/region level. Owning this niche provides a first-mover advantage and reinforces the 'Data Engine' concept by showing mastery over the physical and financial logistics of data movement, a topic competitors largely ignore.

Internal Data Sources

This play would be powered by an internal benchmarking spreadsheet maintained by the Solutions Engineering team, which tracks traffic costs, round-trip times (RTT), and cost-per-GB between regions. This proprietary dataset makes the play highly defensible and difficult for others to replicate accurately.

Estimated Number of Pages

4,200+ (350 cloud regions × 12 common targets)

Publish a massive cookbook of copy-pasteable regex patterns for extracting fields from common log sources. Each 'recipe' will include the regex, notes on edge cases, and a ready-to-use Cribl Stream pipeline snippet.

Example Keywords

• "regex for Palo Alto threat logs"
• "extract Azure AD user agents regex"
• "nginx regex to capture client IP"
• "grok pattern for syslog timestamp"

Rationale

Field extraction via regex is a constant, time-consuming task for IT and security practitioners. By providing a vast library of proven, ready-to-use patterns, Cribl can attract a huge audience of hands-on users, building brand loyalty and demonstrating the product's utility at the earliest stages of problem-solving.

Topical Authority

The domain already has a successful page for 'regex extract', proving Google trusts Cribl for this type of technical content. This play scales that success by a factor of 4,000, aiming to capture the long-tail search traffic for every major log source, a strategy that will be difficult for competitors to match in breadth and depth.

Internal Data Sources

The core of this play comes from the Cribl Packs Git repository, which contains thousands of known-good regex patterns. This can be supplemented with data from Zendesk support tickets tagged with 'field_extraction_failure' to address common mistakes and edge cases, providing value beyond standard documentation.

Estimated Number of Pages

4,000+ (1,000 sources × 4 high-value fields each)

Build an encyclopedia of short reference pages explaining thousands of cloud and security event IDs. Each page will detail the event's meaning, its typical 'noise' level, and an optimal Cribl pipeline for handling it, providing a unique cost-savings angle.

Example Keywords

• "AWS CloudTrail event AccessDenied meaning"
• "Windows Event ID 4625 SIEM cost"
• "Cisco ASA msg %ASA-6-106015 explained"
• "what is event code 5156"

Rationale

Engineers and analysts frequently search for specific event codes when troubleshooting or building detection rules. By creating a definitive resource that not only explains the code but also provides an immediate action (the Cribl pipeline to filter, enrich, or drop it), Cribl can intercept users at their moment of need and guide them toward the product.

Topical Authority

Cribl's existing glossary pages demonstrate success in ranking for definition-style content ('telemetry', 'siem'). This play applies that proven model at a massive scale to a new set of highly specific, technical keywords, creating a deep moat of long-tail traffic.

Internal Data Sources

This strategy can be powered by crawling public vendor documentation for code definitions, then merging that with anonymized customer telemetry on event frequency and data size (in KB). This unique combination allows Cribl to provide a 'storage cost' angle that no simple documentation scrape could ever offer.

Estimated Number of Pages

3,000+ (covering thousands of event codes across major vendors)

Improvements Summary

Expand and optimize glossary pages targeting high-potential keywords currently ranking on page 2 or low page 1. Implement structured content, multimedia, and internal linking to capture featured snippets and drive authority to product pages.

Improvements Details

Rewrite meta titles and H1s to prioritize exact-match keywords such as 'observability engineer' and 'SIEM'. Expand articles to 800–1,200 words with clear definitions, product relevance, examples, and FAQ sections. Add FAQPage and HowTo schema, custom graphics, short videos, and comparison tables. Strengthen internal links to product pages and related glossary terms, and create a comprehensive glossary index targeting 'observability glossary'.

Improvements Rationale

These improvements address missed opportunities for featured snippets and low click-through rates by providing richer, more structured content that aligns with search intent. Enhanced internal linking and schema markup will help pass authority to key product pages and improve overall site visibility. The strategy aims to move target keywords into higher positions, increase traffic, and establish the site as a trusted source for observability definitions.