First-touch ignores everything that happened after acquisition.
A lead source may have created the first record, but the customer may have required weeks of texts, calls, appointments, reactivation, and human handoff before buying.
AI Attribution Reports
Stop forcing every sale into first-touch or last-touch attribution.
Real customers do not buy in a straight line. TECOBI AI Attribution Reports help businesses understand true influence by assigning weighted credit across provider sources, TECOBI AI engagement, human follow-up, appointment activity, and the sales process that led to a sold outcome.
Model Weighted attribution
Evidence Provider, TECOBI, journey signals
Output Percent, reason, confidence
Sales Attribution
Provider A45%
TECOBI38%
Provider B17%
AI Summary
Sale influenced by acquisition source, long-cycle nurture, late-stage appointment support, and recent customer re-engagement.
Why old models fail
First-touch and last-touch attribution are too simple for AI-powered customer journeys.
Traditional attribution models were built for cleaner funnels than most businesses actually have. They usually over-credit one moment and under-credit the operational work that kept the customer moving.
Last-touch can over-credit whoever happened to be there at the end.
The final appointment, call, or desk interaction matters, but it does not always explain the full path that moved the customer from cold to sold.
Single-source attribution hides operational influence.
AI follow-up, Response Bot routing, TECOBI human support, provider quality, appointment activity, and sales process execution can all contribute to one sale.
Weighted attribution model
AI evaluates the journey, not just the first or final event.
TECOBI’s attribution workflow is designed to evaluate the evidence around a real sale: where the lead came from, how the customer engaged, whether TECOBI reactivated or nurtured the opportunity, and which late-stage activities supported the outcome.
01
Provider baseline and timeline
TECOBI evaluates the lead’s master provider, provider submissions, provider seed messages, and the acquisition baseline so source credit is not erased casually.
02
TECOBI automation and AI activity
Auto Bots®, Response Bot behavior, AI-created messages, follow-up touches, and automation timing can be considered as part of the sales influence picture.
03
Human and TECOBI support touches
Dealer human messages, TECOBI Ninja activity, outbound calls, inbound replies, and connected calls help show how the customer was actually worked.
04
Appointment and showroom milestones
Appointment created, appointment set, showed, missed, cancelled, showed/lost, sold, and Desk Log activity all add context to the path to purchase.
05
Recency and dormancy patterns
The model can look for recent activity, long-dormant reactivation, last-touch timing, and late-stage support before assigning weighted influence.
06
Sold Desk Log anchor
The scoring starts from a sold Desk Log, so attribution is attached to a real outcome instead of a generic engagement report.
What reports show
Each sale can become a weighted attribution record with reasoning.
Instead of forcing the whole sale into one bucket, TECOBI can generate attribution slices that explain how much credit belongs to each provider and how much credit belongs to TECOBI’s engagement layer.
Provider credit
Provider entries receive percentage credit and reasoning, preserving acquisition value when the provider was the baseline source.
TECOBI credit
TECOBI receives a weighted share when AI, automation, texting, reactivation, or support activity materially contributed to the sale.
Reasoning for every slice
Each attribution slice can include a human-readable reason so leaders can understand why credit was assigned.
Confidence score
A confidence value helps distinguish strong evidence from cases where the journey is less clear.
Scored-at and version tracking
Attribution records include scoring time and versioning so teams know when the model evaluated the sale.
Aggregate source reporting
Persisted attribution can roll up across sold Desk Logs to show weighted provider and TECOBI shares over a date range.
Guardrails
AI attribution needs controls, not just a clever answer.
The goal is not to make AI take credit for everything. TECOBI’s attribution workflow uses validation, normalization, provider baselines, caps, and eligibility rules so reporting remains practical for business decisions.
Percentages are normalized to equal 100%.Provider candidates must be known providers from the customer record or submission timeline.Provider baseline credit is protected by guardrails when acquisition evidence is strong.TECOBI share can be capped when the evidence does not justify excessive credit.Invalid or stale attribution results are rejected instead of silently saved.Sold attribution requires a sold Desk Log with a lead and sold date.
Business impact
Better attribution changes how leaders allocate money, coach teams, and evaluate AI.
Weighted attribution gives leaders a more realistic view of what influenced revenue. That matters for provider budgets, AI optimization, team coaching, and understanding long-cycle customers who do not convert from one touch.
Budget allocation
Compare source spend against weighted influence instead of assuming one provider deserves 100% of the credit.
AI performance review
Understand whether AI follow-up and Response Bot activity are creating real sales influence, not just message volume.
Provider conversations
Have more honest source-performance discussions by separating acquisition value from nurture, reactivation, and sales execution.
Sales process coaching
Use attribution summaries to see whether calls, appointments, showroom activity, and follow-up created momentum.
Long-cycle visibility
Give proper credit to persistent engagement when a customer buys after a long dormant or multi-touch journey.
Executive reporting
Show leaders a truer view of how revenue is influenced across provider sources, AI systems, and human operations.
Connected platform
Attribution works because it is connected to the operating record.
TECOBI can score influence because the platform sees more than a source field. It sees conversations, AI touches, appointments, desk activity, sold outcomes, and reporting data together.
Desking and Desk Log
AI Attribution Reports use sold Desk Logs as the outcome anchor for scoring.
Explore Desking and Desk Log Auto Bots®
Proactive AI follow-up and reactivation can become part of the influence story when it contributes to a sale.
Explore Auto Bots® Reports and AI Reporting
Attribution rolls into the broader reporting layer beside AI, team, source, appointment, and campaign analytics.
Explore Reports and AI ReportingAI Attribution Reports
Understand what really helped create the sale.
TECOBI helps businesses move beyond outdated attribution models with weighted, evidence-backed reporting across providers, AI, and sales operations.