ENFutureinapps

Marketing and analytics automation

Launch marketing fastermanage it with data

We automate campaign preparation, segments, content, approvals and reports. AI helps analyze outcomes, detect anomalies and choose the next actions.

See the process
Template-based campaignsEnd-to-end analyticsControlled AI recommendations

Marketing today

Campaigns and outcomes

Data updated

Leads

+18%

CPL

-12%

ROMI

+24%

Channel contribution7D
Search
Social
CRM

AI detected rising lead costs and prepared recommendations. Changes are waiting for specialist approval.

Where marketing loses time and budget

Problems begin when execution, data and decisions live in separate spreadsheets and services.

Recurring campaigns are rebuilt manually every time

Segments move between CRM and ad platforms as files

Content waits for approval and becomes outdated

Reports are compiled manually from several systems

Lead costs rise before the team notices the problem

Sales and marketing calculate outcomes differently

One workflow from idea to revenue

Automation connects campaign creation, launches, spend, leads and sales.

Goal and audience

Offer, segment, channel and KPI.

Content

Copy and creative variants based on brand rules.

Approval

Budget, legal checks and confirmation.

Launch

Campaign creation through advertising APIs.

AI analysis

Anomalies, causes and next actions.

What can be automated

The solution depends on your CRM, advertising channels and analytics model.

Campaign creation

Templates, naming, UTM tags, groups and ads.

Audience segments

CRM selection, updates and audience exclusions.

Copy and creatives

AI variants based on briefs, offers and brand rules.

Launch approval

Limits, roles, required checks and history.

End-to-end analytics

Spend, inquiries, deals, revenue and ROMI.

AI analytics

Anomaly detection, explanations and recommendations.

Control levels

AI proposes, your business stays in control

Automation should not spend budget or publish unapproved content on its own. Every action has defined rules and an autonomy level.

1Draft without publication
2Launch after approval
3Automatic action within limits
4Complete change log
Workflow autonomyConfigurable
DraftApprovalAutomatic

Verifiable outcome

Every recommendation links to source data and every action is recorded.

How implementation works

We start with a repeatable process that already has data and a clear outcome.

01

Map the process

Document channels, roles, stages, approvals and current time costs.

02

Align the data

Define shared events, sources, spend, inquiries, deals and revenue.

03

Build the first workflow

Automate one campaign, segment or recurring report.

04

Add AI

Introduce generation or analysis where the outcome can be verified.

05

Measure and expand

Compare speed, data quality and metrics before and after launch.

Data and integrations

Connect advertising, CRM and sales

Data follows one path from advertising spend to paid deals and returns to marketing for the next decisions.

CRMЯндекс ДиректVK AdsCall trackingWeb analyticsBIAPIn8n

Advertising

Sales

Shared UTM and sources
Data quality checks
Role-based access

Applied workflows

Marketing and analytics cases

Recurring campaign automation, personalization and outcome analysis.

Retail network01

Marketing campaign automation

A single workflow for segments, content, launches and reporting.

Outcome

Recurring launches and reports follow one workflow while the team focuses on offers and hypotheses.

CRM marketing02

SMS Uplift Optimization

Targeted campaigns for retail

Outcome

Conversion x2, costs /3

E-commerce03

Recommendation System

Personalization for watch store

Outcome

+30.5% purchases of new products

Start with one workflow

Find the first automation with a measurable impact

Show us how your team launches campaigns and builds reports. We will identify the bottleneck, available data and a safe first workflow.

You can attach a report, media plan or approval workflow.

Frequently asked questions

Can campaigns be created automatically?

Yes. The system can prepare structure, naming, UTM tags, groups and ads, then transfer them through an API. Publication can require specialist approval.

Can AI create copy and creatives?

Yes. AI prepares variants based on the brief, product, audience and brand rules. Final review and publication autonomy are configured separately.

What does AI analytics mean?

AI detects unusual changes, compares channel metrics, suggests possible causes and prepares recommendations. Conclusions remain linked to the underlying verified data.

Will AI manage advertising budgets on its own?

Only when your rules allow it. We usually begin with recommendations and approvals, then enable automatic actions within defined limits.

Can advertising spend be linked to CRM sales?

Yes. We align identifiers, sources and events before connecting advertising spend, inquiries, deals and revenue.