Active Listening and Campaign & Bid Optimisation

Description:

The fundamental purpose is to develop a SaaS platform capable of acting as an intelligent and autonomous system for the management of digital campaigns, with the ability to react immediately to changes in the competitive environment and consumer behaviour.In today’s market, where trends and conversations evolve minute by minute, traditional campaigns—based on manual adjustments and delayed analysis—are insufficient for maintaining relevance and efficiency. For this reason, the tool must:

• Monitor external signals in real time (social media mentions, sentiment, emerging trends, relevant news, and competitor movements).

• Analyse and process these signals using predictive algorithms and optimisation models to anticipate changes in demand, cost per click (CPC), and positioning opportunities.

• Make automatic decisions on:

  • Adjustment of advertising bids on platforms such as Google Ads, Meta, TikTok, LinkedIn, etc.

  • Redistribution of budgets between campaigns, audiences, and channels to maximise returns.

  • Activation of dynamic creatives (DCO) that adapt messages, images, and calls to action depending on the detected context.

• Integrate with measurement tools and CRM to ensure traceability, conversion tracking, and continuous learning.

Ultimately, the objective is to turn campaign management into an automated, intelligent, and adaptable process that enables:

• Reducing reaction time to market changes from hours or days to seconds.

• Optimising advertising investment based on real signals, avoiding waste and maximising ROAS.

• Improving the end user’s experience by displaying more relevant and timely messages, increasing conversion rates.

What We’re Looking For:

• SaaS platform with active listening and real-time analysis:

  • Continuous monitoring of social networks (X, Instagram, TikTok, Facebook, LinkedIn), industry news (electricity price, consumption trends and recommendations), competitors (Iberdrola, Endesa, Octopus, Naturgy), and emerging trends.

  • Detection of critical signals: changes in sentiment, appearance of trending topics, competitor moves, price or messaging variations.

  • Intelligent processing via semantic analysis algorithms, topic modelling, and demand prediction to anticipate opportunities or risks.

• Automatic optimisation of digital campaigns:

  • Dynamic adjustment of bids on advertising platforms (Google Ads, Meta, TikTok, DV360) according to detected signals.

  • Redistribution of budgets across channels and audiences to maximise ROAS and reduce CPA.

  • Adaptive creatives (DCO): automatic variation of messages, images, and CTAs based on context (e.g., leveraging a trending topic or responding to competitor actions).

  • Decision engine with guardrails: business rules ensuring control (budget limits, frequency, brand safety).

• Integration with external landing pages and digital environments

  • Full adaptation of the user journey: not just in the initial ad, but also in the landing experience.

  • Lightweight SDK or CDN rules to modify content in real time without affecting load speed.

  • Contextual personalisation: messages, offers, and creatives aligned with the signal that triggered the campaign.

  • End-to-end measurement: integration with GA4 and CRM for traceability, attribution, and continuous learning.

Conditions:

• Startups with experience in AI, analytics, and automation.

• Functional MVP in 3-6 months.

• Regulatory compliance (including GDPR).

• Ability to integrate with existing systems