Apricode AI is an ontology-driven, AI-native growth marketing operating system for enterprise teams. It unifies unified attribution, creative intelligence, and autonomous campaign optimization across 16+ ad channels, so teams command outcomes instead of managing channels.

How much does Apricode AI cost?

Apricode AI pricing is USD, global-uniform: Starter is $2,000/month, Growth $5,000/month, Scale $10,000/month, and Enterprise starts at a $15,000/month floor with a custom MSA. All plans are sales-led (LOI/pilot); there is no public free trial.

Which advertising platforms does Apricode AI support?

Apricode AI supports 16+ channels including Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, DV360, CTV, DOOH, and Retail Media, all connected via OAuth 2.0 into a single semantic knowledge graph.

What is AI marketing operating system?

An AI marketing operating system is a unified platform that connects planning, creative, media buying, measurement, and optimization into one system of record. Instead of stitching point tools together, it uses AI agents to reason over a shared data layer and act on marketing decisions autonomously.

What is Marketing Mix Modeling (MMM)?

Marketing Mix Modeling is a statistical method that estimates how each channel and tactic contributes to business outcomes using aggregate, privacy-safe data. It models response curves, adstock (carryover) effects, and saturation, then recommends how to reallocate budget for the highest incremental return.

What is Multi-touch attribution (MTA)?

Multi-touch attribution assigns credit for a conversion across the multiple touchpoints a customer interacts with before converting. Unlike last-click attribution, MTA distributes value across the journey using models such as linear, time-decay, or data-driven algorithmic weighting.

What is Incrementality?

Incrementality measures the additional conversions or revenue that an ad actually caused — outcomes that would not have happened without it. It is typically quantified through controlled experiments such as geo tests or holdout groups, isolating true causal lift from correlation.

What is Return on ad spend (ROAS)?

Return on ad spend is the revenue generated for every unit of currency spent on advertising, calculated as revenue divided by ad spend. It is a core efficiency metric, though it is most meaningful when paired with incrementality and profit margin rather than read in isolation.

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization is the practice of structuring content and technical signals so that AI answer engines — such as ChatGPT, Perplexity, and Google AI Overviews — cite your site as a source. Key tactics include answer-first content, question-based headings, valid structured data, and allowing live-retrieval AI crawlers.

What is Dynamic Creative Optimization (DCO)?

Dynamic Creative Optimization automatically assembles and serves the best-performing variation of an ad in real time. It combines modular creative elements — headlines, images, offers — and uses performance signals to match the most relevant combination to each audience or context.

What is Retail media network?

A retail media network is an advertising platform operated by a retailer that lets brands buy ads across the retailer's owned channels — such as its site, app, and in-store screens — using its first-party purchase data for targeting and closed-loop measurement.

What is Connected TV (CTV)?

Connected TV refers to televisions that stream content over the internet, either through smart TVs or devices like streaming sticks and consoles. CTV advertising delivers addressable, measurable video ads to these screens, blending the reach of TV with the targeting of digital.

What is Marketing knowledge graph?

A marketing knowledge graph is a semantic data model in which entities — campaigns, creatives, audiences, signals, and conversions — are represented as connected objects with defined relationships. This ontology lets AI agents reason across the whole marketing system rather than analyzing siloed tables.

Glossary

AI marketing, defined.

Plain-language definitions of the measurement, media, and AI terms modern growth teams rely on — each answer written to stand on its own.

What is AI marketing operating system?: An AI marketing operating system is a unified platform that connects planning, creative, media buying, measurement, and optimization into one system of record. Instead of stitching point tools together, it uses AI agents to reason over a shared data layer and act on marketing decisions autonomously.
What is Marketing Mix Modeling (MMM)?: Marketing Mix Modeling is a statistical method that estimates how each channel and tactic contributes to business outcomes using aggregate, privacy-safe data. It models response curves, adstock (carryover) effects, and saturation, then recommends how to reallocate budget for the highest incremental return.
What is Multi-touch attribution (MTA)?: Multi-touch attribution assigns credit for a conversion across the multiple touchpoints a customer interacts with before converting. Unlike last-click attribution, MTA distributes value across the journey using models such as linear, time-decay, or data-driven algorithmic weighting.
What is Incrementality?: Incrementality measures the additional conversions or revenue that an ad actually caused — outcomes that would not have happened without it. It is typically quantified through controlled experiments such as geo tests or holdout groups, isolating true causal lift from correlation.
What is Return on ad spend (ROAS)?: Return on ad spend is the revenue generated for every unit of currency spent on advertising, calculated as revenue divided by ad spend. It is a core efficiency metric, though it is most meaningful when paired with incrementality and profit margin rather than read in isolation.
What is Generative Engine Optimization (GEO)?: Generative Engine Optimization is the practice of structuring content and technical signals so that AI answer engines — such as ChatGPT, Perplexity, and Google AI Overviews — cite your site as a source. Key tactics include answer-first content, question-based headings, valid structured data, and allowing live-retrieval AI crawlers.
What is Dynamic Creative Optimization (DCO)?: Dynamic Creative Optimization automatically assembles and serves the best-performing variation of an ad in real time. It combines modular creative elements — headlines, images, offers — and uses performance signals to match the most relevant combination to each audience or context.
What is Retail media network?: A retail media network is an advertising platform operated by a retailer that lets brands buy ads across the retailer's owned channels — such as its site, app, and in-store screens — using its first-party purchase data for targeting and closed-loop measurement.
What is Connected TV (CTV)?: Connected TV refers to televisions that stream content over the internet, either through smart TVs or devices like streaming sticks and consoles. CTV advertising delivers addressable, measurable video ads to these screens, blending the reach of TV with the targeting of digital.
What is Marketing knowledge graph?: A marketing knowledge graph is a semantic data model in which entities — campaigns, creatives, audiences, signals, and conversions — are represented as connected objects with defined relationships. This ontology lets AI agents reason across the whole marketing system rather than analyzing siloed tables.

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