Ask a business question. Get a decision you can defend.
Ask in plain English
“Why is Affiliate B converting less than last week?”
Diagnosis — intent score dropped 31%, driven by a duration threshold breach on 44% of calls.
Action — tighten the duration filter on this affiliate before scaling spend.
- 44%
- Calls over duration limit
- −31%
- Intent score, 7 days
- Stable
- Billable rate
Every recommendation cites the filters, thresholds and rules behind it.
- 13
- Predefined decision areas, included in every plan
- Under a minute
- From a plain-English question to a recommended action
- Read-only
- Your data stays in your infrastructure and never trains a model
You are not short of dashboards. You are short of decisions.
You ask
“Which campaigns should I scale this week?”
“Why is Affiliate B underperforming?”
“Do I have fraud risk in this source?”
In plain English — no SQL, no dashboard hunting, no analyst queue.
Nextdara applies
Your decision framework
Pre-built evaluation logic, KPI formulas and decision rules, configured for how your operation actually works.
Your rules and thresholds
Fraud limits, quality targets, scaling conditions.
Your live data
Calls, revenue, margins, affiliates.
Your business context
Buyers, campaigns, KPI priorities, terminology.
You get
A direct answer
No ambiguity, no interpretation required.
A diagnosis
What is driving the result, and why.
An action
Scale, optimize, monitor or pause.
The data evidence
The numbers behind every call.
In under a minute, from a question typed by any team member.
Every analysis resolves to one of four actions.
Scale what works with confidence and increase profitable volume.
“Which campaigns are ready to grow this week?”
3 campaigns qualify — quality above threshold, fraud low, margin healthy.
Improve performance by eliminating inefficiencies and increasing effectiveness.
“Why is Affiliate B converting less than last week?”
Intent score dropped 31% — duration threshold breach on 44% of calls.
Monitor business performance so you can detect issues early and act fast.
“What's my profitability vs. last month?”
PPC down 12% — margin pressure from 2 affiliates, billing stable.
Pause or limit activities that create risk, reduce profitability or do not align with goals.
“Is there fraud risk in SubID cluster B?”
Fraud rate 6.2% — above limit. Pause and audit recommended.
Three questions, asked in the same order every time.
Reading from
Sources are unified into one business context rather than analysed as isolated reports. The more connected that context, the more accurate the recommendation.
- Lead distribution platforms
- Routing platforms
- CRM systems
- QA tools
- Data warehouses and databases
- APIs and custom integrations
Built to be trusted with the call, not just the chart.
From question to action in seconds
No analyst queue, no dashboard hunting, no SQL. Any team member asks in plain English and gets a diagnosis with a recommended action in under a minute.
Decisions you can explain
Business rules are encoded in versioned configuration, not left to model guesswork. Fraud thresholds, scaling conditions and safety overrides are deterministic and auditable.
A full audit trail on every decision
Every recommendation cites the data filters, thresholds and rules that produced it, with complete logging for compliance, review and accountability.
Configured for your business
Every client gets a dedicated knowledge package — your terminology, your KPIs, your thresholds, your decision rules. No generic templates.
Connects to what you already have
Works with your existing warehouse and QA platform. No data migration and no new infrastructure required beyond authorized, least-privilege access.
Freedom to choose your model
The stack is modular. Move between supported AI providers without rebuilding anything — you hold the account, select the authorized model and pay the provider directly.
Thirteen areas, included in every plan.
Lead quality and eligibility
Is this worth acting on?
- Data Eligibility
- Whether a record is complete, consented and valid enough to act on or sell.
- Traffic Quality
- Which sources send traffic that converts, and which send volume that does not.
- Customer Intent
- How strong the buying signal is behind a call, form or click.
- Fraud Risk
- Duplicate, synthetic and misrepresented traffic, scored against your limits.
Revenue and margin
Where is the money made or lost?
- Monetization
- Where revenue is actually earned across buyers, campaigns and placements.
- Profitability
- Margin by campaign, source, buyer, product and operational segment.
- Scaling Readiness
- Which campaigns clear your quality and margin bar to receive more spend.
Operations
What changed, and who is driving it?
- Operational Classification
- How volume is categorized, so every analysis groups it the same way.
- Operational Diagnostics
- Why a metric moved, traced back to the factors that contributed.
- Agent Performance
- Handling, conversion and quality differences across agents and teams.
Governance
Can we stand behind the decision?
- Compliance
- Consent, disclosure and regulatory obligations checked against each campaign.
- Overall Health Score
- A single composite read on the current state of the operation.
- Decision Engine
- The versioned rule set that makes every recommendation reproducible.
Priced for a focused deployment, a growing operation, or an enterprise.
- Up to 2 users
- 1 business vertical
- No custom decision areas
- Up to 3 support hours / month
- Core rules and recommendations
- Limited alerts and anomaly detection
- Up to 5 users
- Up to 3 business verticals
- Up to 3 custom decision areas
- Up to 5 support hours / month
- Expanded rules, full recommendations
- Quarterly operational review
- Custom users and verticals
- 4+ custom decision areas
- Optional dedicated environment
- Up to 15 support hours / month
- Advanced rules, alerts and permissions
- Monthly operational review
| Included capability | Professional | Business | Enterprise |
|---|---|---|---|
| Natural-language analysis | Included | Included | Included |
| Included users | Up to 2 | Up to 5 | Custom |
| Business verticals | 1 | Up to 3 | Custom |
| Custom areas beyond predefined | None | Up to 3 | 4+ |
| Technical usage profile | Defined in Order Form | Defined in Order Form | Custom |
| Included support per month | Up to 3 hours | Up to 5 hours | Up to 15 hours |
| Business rules and decision trees | Core | Expanded | Advanced / custom |
| Prioritized recommendations | Core | Full | Custom |
| Alerts and anomaly detection | Limited | Included | Advanced |
| Roles and permissions | Basic | Included | Advanced |
| Operational review | — | Quarterly | Monthly |
| Dedicated environment | — | — | Available |
Prices are in U.S. dollars and exclude applicable taxes. All subscriptions require a 12-month initial agreement, billed monthly in advance. Implementation is scoped and quoted after discovery. Data volume, processing frequency, query activity and infrastructure requirements are confirmed during discovery and documented in the Order Form.
Nothing is quoted before it is understood.
Discovery evaluates
- Your lead generation, acquisition, distribution and monetization model.
- Current business situation, objectives, constraints and decision-making processes.
- Existing operating, commercial, quality and compliance rules.
- Required decision trees, use cases, KPIs, definitions and expected outcomes.
- Data sources, ownership, location, structure, quality and readiness.
- Required integrations, security controls, roles, permissions and AI provider preferences.
- Expected data volume, processing frequency, support level and infrastructure needs.
Then you receive
- A defined implementation scope and its assumptions.
- Proposed architecture and data access approach.
- Included data sources, business rules and decision areas.
- Responsibilities for Bit Solution Group and for your team.
- Estimated timeline, required team and implementation price.
Your data stays yours. Your AI provider stays yours.
- Read-only by designAccess is authorized and least-privilege wherever supported, and enforced at the tool layer.
- Never used for trainingYour data is never used to train any model and is never shared across clients.
- Boundaries documentedData access, retention, processing boundaries and security responsibilities are set at implementation.
- Governed accessOrganization-level roles, permissions and a traceable history of every analysis run.