# Adhaction

*/Startups/Adhaction*

## Startup Overview

This analytics engine reconstructs fragmented user session paths directly from raw server logs. By bypassing the browser entirely, it captures behavioral data without relying on fragile client-side scripts. The system ingests standard web server and application logs to map exact user journeys from entry to conversion.

Growth and data teams face massive visibility gaps caused by ad blockers, strict browser privacy defaults, and dropped network requests. Conventional tracking methods fail to capture significant portions of user activity, leaving product organizations with broken funnels and incomplete attribution.

Where event analytics platforms like Amplitude, Mixpanel, and Snowplow depend heavily on client-side tracking pixels, this architecture operates entirely at the server level. This completely independent, privacy-native approach delivers absolute data accuracy immune to client-side interference and third-party cookie restrictions.

## Startup Founding Hypothesis

**Approach**: that reconstructs fragmented session paths from raw server logs
**Competitors**:
- [Amplitude](/Competitors/Amplitude)
- [Mixpanel](/Competitors/Mixpanel)
- [Snowplow](/Competitors/Snowplow)
**Differentiator2x2**: privacy-native and completely independent of client-side tracking pixels

## Startup Solution Coordinate

**Solution**: [Session Trace Engine](/Software/Session_Trace_Engine)

## Startup Position2x2

```mermaid
quadrantChart
    title Market Position
    x-axis Pixel-Dependent --> Pixel-Independent
    y-axis Standard SaaS Privacy --> Privacy-Native
    quadrant-1 Server-Log Analytics
    quadrant-2 First-Party Trackers
    quadrant-3 Cloud Analytics
    quadrant-4 Generic Log Parsers
    Adhaction: [0.85, 0.85]
    Snowplow: [0.35, 0.80]
    Mixpanel: [0.25, 0.45]
    Amplitude: [0.15, 0.35]
```

## Startup Offer

**Proof**:
- Targeting e-commerce operators seeking to recover session visibility lost to client-side ad blockers
- Designed for privacy-focused healthcare platforms aiming to track user journeys without third-party tracking pixels
- Aimed at fintech engineering teams attempting to replace missing mixpanel events using immutable server-side API logs
**Tiers**:
- Name: Growth Pipeline · Price: ~$300–$600/mo · Inclusions: Up to 50 million server log lines processed per month, 30-day session retention, and automated bot filtering
- Name: Scale Ingestion · Price: ~$1,000–$2,500/mo · Inclusions: Up to 500 million server log lines processed per month, 1-year data retention, and custom log-to-event mapping rules
- Name: Single Tenant · Price: ~$4,000–$8,000/mo · Inclusions: Unlimited log volume processed in an isolated infrastructure instance, designed to meet strict compliance mandates
**Guarantee**: If the platform cannot successfully parse and reconstruct verifiable session paths from your standard server logs within the first 14 days, you receive a full refund and keep the data exports.
**Business Function**: ProvideService
**Objection Handlers**:
- Server logs lack a unique user identifier for anonymous traffic. -> We apply probabilistic clustering using IP, user-agent, and timestamp deltas to reconstruct continuous anonymous sessions.
- Bot traffic will skew our analytics if we rely on raw server logs. -> The ingestion engine is built to strip known crawlers, scrapers, and anomalous request patterns before sessionization.
- Routing server logs to a new vendor requires heavy engineering work. -> Designed to ingest standard NGINX, Apache, and load balancer logs securely via direct S3 bucket sharing or webhook streams.
- We will lose granular UI interactions like button hovers. -> True, the platform maps concrete page loads and state changes to ensure 100% reliable tracking and privacy compliance, rather than fragile micro-interactions.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Authoritative and exact, characterized by strict adherence to technical privacy facts.
**Tagline**: Map complete user journeys from raw server logs without pixels.
**Icon Concept**: ledger
**Palette Intent**: institutional-cool
**Visual Identity**: Deep navy and stark white anchor the palette, supported by strict monospaced typography that references the unstyled plaintext of raw server environments.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Adhaction → Head of Data Infrastructure → Product Analytics Team
**Gtm Motion**: Acquires data engineering teams through a self-serve parser for standard Nginx and Apache logs, expanding into enterprise deployments by upselling cross-server session reconstruction and dedicated data-warehouse pipelines.
**Agent Channel**: Intended to list within the Model Context Protocol (MCP) directory and LangChain tool registry as a server-log querying endpoint, allowing autonomous data-analysis agents to retrieve reconstructed session paths without client-side telemetry.
**Primary Channel**: Technical tutorials and open-source repositories targeting data engineers searching for cookieless analytics and server-side tracking alternatives.

## Startup Customer Journey

```mermaid
flowchart LR; A[Server-Side Tracking Tutorial] --> B[Self-Serve Log Parser]; B --> C[Reconstructed Session Path]; C --> D[Growth Pipeline Tier]; D --> E[Dedicated Warehouse Pipeline]; E --> F[Case Study Participant];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day shadow tracking pilot: Run log ingestion in parallel with existing client-side analytics to prove a measurably higher capture rate of actual user sessions.
- 30-day compliance validation pilot: Successfully ingest and map standard Apache logs to continuous user journeys while passing the client's internal data privacy audit.
**Target Metrics**:
- Target: 25% recovery of user session data previously blocked by client-side tracking restrictions.
- Target: 100% elimination of third-party tracking cookies from the primary application architecture.
- Aim: 95% automated filtering of known crawler, scraper, and anomalous bot traffic prior to sessionization.
- Target: 14-day time-to-value for parsing and reconstructing verifiable session paths from raw NGINX logs.
**Target Case Studies**:
- Mid-market e-commerce operator: Recovers session visibility previously lost to client-side ad blockers, restoring accurate cart-abandonment tracking directly from standard server logs.
- Privacy-focused digital health platform: Maps complete user journeys and state changes without deploying a single third-party tracking pixel to maintain strict privacy compliance.
- Growth-stage fintech engineering team: Replaces incomplete client-side event data by reconstructing continuous anonymous sessions from immutable server-side API logs.
**Testimonial Targets**:
- Head of E-Commerce Analytics: Confidence in possessing a reliable, ad-blocker-immune source of truth for funnel conversion analysis.
- Chief Information Security Officer at a healthcare platform: Assurance that user session data derives entirely from internal server logs, neutralizing third-party data leakage risks.
- Lead Data Engineer at a fintech company: Satisfaction with the simplicity of routing load balancer logs via direct S3 bucket sharing without requiring new client instrumentation.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Session reconstruction from server logs fails to achieve usable accuracy due to shared IP addresses, NATs, and VPNs masking individual user paths. · Mitigation Status: in-progress
- Severity: high · Description: Processing complete, raw server logs for high-traffic web applications incurs exorbitant compute and storage costs that destroy gross margins. · Mitigation Status: unmitigated
- Severity: high · Description: Analytics teams refuse to migrate from Mixpanel or Amplitude because server logs inherently lack visibility into rich client-side UI interactions like scroll depth and hover states. · Mitigation Status: unmitigated
- Severity: moderate · Description: Cloud infrastructure providers update their default logging formats and break the proprietary log parsing pipelines required for session ingestion. · Mitigation Status: mitigated

## Startup Competitors

- [Amplitude](/Competitors/Amplitude) — Client-Side Incumbent
- [Mixpanel](/Competitors/Mixpanel) — Client-Side Incumbent
- [Snowplow](/Competitors/Snowplow) — Data Infrastructure
- [Google Analytics](/Competitors/Google_Analytics) — Status Quo
- [PostHog Analytics](/Competitors/PostHog_Analytics) — Product Analytics
- [In-House Log Parsing](/Competitors/In-House_Log_Parsing) — DIY

## Startup Story Brand

**Hero**:
- **Need**: to maintain an immutable record of system truth that satisfies both compliance and product analytics
- **Want**: to reconstruct complete user journeys without using fragile client-side tracking pixels
- **Identity**: the engineering lead at a privacy-focused fintech company
**Plan**:
- Step: Stream logs · Detail: Point your NGINX, Apache, or S3 bucket logs to our secure ingestion endpoint.
- Step: Inspect paths · Detail: Validate the probabilistic clustering of sessions across IP, user-agent, and state-change timestamps.
- Step: Export events · Detail: Push clean, sessionized event data into your warehouse or BI tool for a 100% accurate journey map.
**Guide**:
- **Empathy**: When ad blockers break your frontend events, your team loses the ability to debug failed checkouts or map actual user intent.
**Problem**:
- **Villain**: pixel-based tracking
- **External**: Product teams struggle with missing Mixpanel events because ad blockers and Safari ITP strip away 30% of client-side data.
- **Internal**: You feel like you are making critical product decisions based on incomplete and corrupted datasets.
- **Philosophical**: Digital analytics was built for verifiable system logs, not brittle third-party scripts that users increasingly block.
**Success**: You possess a 100% reliable session record derived directly from your server logs, immune to ad blockers and browser privacy shifts.
**One Liner**: Every day, engineering leads lose visibility to ad blockers. Adhaction reconstructs paths from raw server logs so product teams have 100% accurate data without pixels.
**Positioning**:
- **So That**: recover 100% of user journeys lost to client-side ad blockers
- **Unlike**: Amplitude or Mixpanel
- **For Whom**: privacy-focused fintech and healthcare engineering teams
- **Category**: Server-side session reconstruction
**Call To Action**:
- **Direct**: Process Growth Pipeline
- **Transitional**: View sample session schema
**Failure Stakes**:
- Decisions made on 30% missing data
- Compliance risks from third-party pixels
- Unreproducible checkout errors
**Transformation**:
- **To**: the infrastructure's data architect
- **From**: an engineer fixing broken Mixpanel events
**Controlling Idea**: System logs provide the only immutable truth for user journey mapping.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every day, engineering leads lose visibility to ad blockers. Adhaction reconstructs paths from raw server logs so product teams have 100% accurate data without pixels.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 83b21a1b144c1738

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Server-side session reconstruction for privacy-focused fintech and healthcare engineering teams. Unlike Amplitude or Mixpanel — recover 100% of user journeys lost to client-side ad blockers.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 23b6da1c2b0385b5

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Product teams struggle with missing Mixpanel events because ad blockers and Safari ITP strip away 30% of client-side data.
Solution: Every day, engineering leads lose visibility to ad blockers. Adhaction reconstructs paths from raw server logs so product teams have 100% accurate data without pixels.
Customer: privacy-focused fintech and healthcare engineering teams
Unlike: Amplitude or Mixpanel
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 6ee84a11a18eb8c3

## Startup Token M E D D P I C C

**Pain**: Product teams struggle with missing Mixpanel events because ad blockers and Safari ITP strip away 30% of client-side data.
**Metrics**: Target: You possess a 100% reliable session record derived directly from your server logs, immune to ad blockers and browser privacy shifts.
**Rendered**: Pain: Product teams struggle with missing Mixpanel events because ad blockers and Safari ITP strip away 30% of client-side data.
Economic buyer: Head of Data Infrastructure
Metrics: Target: You possess a 100% reliable session record derived directly from your server logs, immune to ad blockers and browser privacy shifts.
Competition: Amplitude or Mixpanel
**Mechanism**: spine-derived-v1
**Competition**: Amplitude or Mixpanel
**Economic Buyer**: Head of Data Infrastructure
**Vocab Fingerprint**: a9458db5fbbb2d6e

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Server-side session reconstruction for privacy-focused fintech and healthcare engineering teams

privacy-focused fintech and healthcare engineering teams — Product teams struggle with missing Mixpanel events because ad blockers and Safari ITP strip away 30% of client-side data. Every day, engineering leads lose visibility to ad blockers. Adhaction reconstructs paths from raw server logs so product teams have 100% accurate data without pixels.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 14567d04443a050c

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Server-side session reconstruction. Every day, engineering leads lose visibility to ad blockers. Adhaction reconstructs paths from raw server logs so product teams have 100% accurate data without pixels. Serves privacy-focused fintech and healthcare engineering teams.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 4edc3c585da72116

## Neighborhood

### Candidate solutions

- [Therapy Plan Abandonment](/Problems/Therapy_Plan_Abandonment) — candidate solution for · Problems

### Composed of

- [Regimen Continuity Service](/Services/Regimen_Continuity_Service) — composes · Services
- [Clinical Chart API](/Software/Clinical_Chart_API) — composes · Software
- [Mobility Telemetry Engine](/Software/Mobility_Telemetry_Engine) — composes · Software
- [Friction Remediation Agent](/Agents/Friction_Remediation_Agent) — composes · Agents
- [Cadence Calibration Agent](/Agents/Cadence_Calibration_Agent) — composes · Agents
- [Therapy Retention Service](/Services/Therapy_Retention_Service) — composes · Services
- [Clinical Ledger Sync API](/Software/Clinical_Ledger_Sync_API) — composes · Software
- [Telemetry Parsing Agent](/Agents/Telemetry_Parsing_Agent) — composes · Agents
- [Therapy Intervention Worker](/Agents/Therapy_Intervention_Worker) — composes · Agents
- [Skeletal Tracking Engine](/Software/Skeletal_Tracking_Engine) — composes · Software

### Competitors

- [PostHog Analytics](/Competitors/PostHog_Analytics) — competes with · Competitors
- [Snowplow](/Competitors/Snowplow) — competes with · Competitors
- [In-House Log Parsing](/Competitors/In-House_Log_Parsing) — competes with · Competitors
- [Amplitude](/Competitors/Amplitude) — competes with · Competitors
- [Mixpanel](/Competitors/Mixpanel) — competes with · Competitors
- [Google Analytics](/Competitors/Google_Analytics) — competes with · Competitors
- [MedBridge](/Competitors/MedBridge) — competes with · Competitors
- [Static PDF Packets](/Competitors/Static_PDF_Packets) — competes with · Competitors
- [Manual Phone Check-Ins](/Competitors/Manual_Phone_Check-Ins) — competes with · Competitors
- [HEP2go](/Competitors/HEP2go) — competes with · Competitors
- [verbal adherence interrogations](/Competitors/verbal_adherence_interrogations) — competes with · Competitors
- [Manual Phone Follow-Ups](/Competitors/Manual_Phone_Follow-Ups) — competes with · Competitors
- [MedBridge Home Programs](/Competitors/MedBridge_Home_Programs) — competes with · Competitors
- [WebPT Billing Ledgers](/Competitors/WebPT_Billing_Ledgers) — competes with · Competitors
- [HEP2go Exercise Portals](/Competitors/HEP2go_Exercise_Portals) — competes with · Competitors
- [HEP2go Home Programs](/Competitors/HEP2go_Home_Programs) — competes with · Competitors
- [MedBridge Exercise Library](/Competitors/MedBridge_Exercise_Library) — competes with · Competitors
- [Manual Verbal Interrogations](/Competitors/Manual_Verbal_Interrogations) — competes with · Competitors
- [MedBridge Portals](/Competitors/MedBridge_Portals) — competes with · Competitors
- [HEP2go Printouts](/Competitors/HEP2go_Printouts) — competes with · Competitors
- [Printed Exercise Packets](/Competitors/Printed_Exercise_Packets) — competes with · Competitors
- [WebPT Clinical Ledgers](/Competitors/WebPT_Clinical_Ledgers) — competes with · Competitors
- [MedBridge Video Libraries](/Competitors/MedBridge_Video_Libraries) — competes with · Competitors
- [WebPT](/Competitors/WebPT) — competes with · Competitors
- [Static PDF Printouts](/Competitors/Static_PDF_Printouts) — competes with · Competitors
- [Static PDF Diagrams](/Competitors/Static_PDF_Diagrams) — competes with · Competitors
- [Paper Packets](/Competitors/Paper_Packets) — competes with · Competitors
- [printed instruction packets](/Competitors/printed_instruction_packets) — competes with · Competitors
- [Paper Instruction Packets](/Competitors/Paper_Instruction_Packets) — competes with · Competitors
- [Static Exercise Packets](/Competitors/Static_Exercise_Packets) — competes with · Competitors

### What it offers

- [Session Trace Engine](/Software/Session_Trace_Engine) — offers · Software
- [Adhaction Telemetry Agent](/Agents/Adhaction_Telemetry_Agent) — offers · Agents

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

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