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What is Braze Sage AI? Braze Sage AI is the set of AI and machine learning capabilities built into the Braze customer engagement platform, announced on June 27, 2023. Braze now markets these under the BrazeAI name, including BrazeAI Decisioning Studio and BrazeAI Agents. Key capabilities of Braze Sage AI AI Recommendation Engine: matches Braze Catalog items to customers most likely to buy AI Content QA: checks tone, structure and grammar before sending Query and segment building: natural-language prompts into reports and segments Personalized Paths: matches each customer with the right message, channel and offer in Canvas Tone Control: sets tone for AI-generated copy in the AI Copywriting Assistant BrazeAI Decisioning Studio: 1:1 personalization at scale How Braze Sage AI works The AI features run on Braze's data and messaging stack. Marketers use them in Canvas and the copywriting assistant, and generative parts were launched using OpenAI GPT models. BrazeAI Agents are described as always-on agents for engagement across email, mobile, web, SMS/RCS and WhatsApp. Who uses Braze Sage AI? Marketing and lifecycle teams that already use Braze to message customers across channels. Braze Sage AI pricing Braze does not publish pricing, and its site directs buyers to a pricing page and sales. Sage AI features are part of the Braze platform rather than a stand-alone price. Braze Sage AI alternatives Dynamic Yield personalizes web and commerce experiences, Smartly automates paid social creative, and Seventh Sense optimizes email send times. Braze Sage AI works inside the Braze engagement platform.
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What is Charles? Charles is a conversational AI and marketing platform for brand-to-customer messaging, mainly on WhatsApp. Brands use it to run campaigns and automations over chat channels, answer customer replies with AI agents, and read campaign performance. Its core assistant, called cowork, builds campaigns and automations from a plain-language description and shows its reasoning, and nothing goes live until a person approves it. Key capabilities of Charles cowork campaign builder: builds campaigns and automations from a plain-language description, with approval before launch. AI agents: answer customer replies in the same chat thread, recommend products and hand off to a person when needed. Performance reporting: reads campaign results and suggests changes you can apply with one click. Ready-made solutions: abandoned cart, back-in-stock, win-back, product recommendations, appointment booking, lead qualification, FAQ automation, reviews and referrals. Multi-channel messaging: WhatsApp, RCS, Webchat, Instagram Direct and Facebook Messenger. How Charles works A marketer describes the campaign they want, such as a back-in-stock message or a win-back flow, and cowork drafts the audience, messages and timing. After approval it launches over the chosen channel. Customer replies go to an AI agent that answers questions, recommends products and escalates to a human when needed. Results feed back into reporting, where the platform suggests adjustments. Who uses Charles? Charles is built for ecommerce and retail brands that want to talk to customers on WhatsApp and other chat channels, particularly Shopify and Shopware merchants. Marketing, CRM and customer service teams use it for lifecycle messaging and conversational support. Brands without a WhatsApp Business setup will need to arrange that as part of onboarding. Charles pricing Charles does not publish prices or a free trial on its website. Buyers use the book a demo or talk to sales links to get a quote. Charles alternatives HubSpot Breeze is the AI layer inside HubSpot's CRM, so it suits teams already running marketing and sales in HubSpot rather than WhatsApp-first commerce. Smartly automates paid social advertising and creative at scale, which is a different channel focus from owned messaging. Anyword generates and scores marketing copy, but it does not run conversational campaigns or reply to customers.
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What is Ryze AI? Ryze AI describes itself as an autonomous AI marketer. It manages paid advertising across Google, Meta, TikTok, LinkedIn and Microsoft Ads with 24/7 audits and adjustments, runs technical SEO work, and generates landing pages from brand guidelines. Key capabilities of Ryze AI Paid ads management: audits, budget and bid adjustments and AI creative generation. Account audits: continuous performance checks across accounts. SEO: technical audits, content optimization, schema and rank tracking. Website builder: landing pages from brand guidelines with A/B tests. Reporting: Slack or email reports. Agency tools: bulk audits, client reports and white-label options. How Ryze AI works You connect your ad and analytics accounts, Ryze audits them and proposes or applies changes such as bid and budget updates, and reports through Slack or email. The vendor also offers a free website scan after you enter your email. Who uses Ryze AI? Small businesses, ecommerce brands and agencies running paid media who want constant optimization without a dedicated specialist for each channel. Ryze AI pricing Ryze charges a flat monthly fee. Plan tiers and prices are on a separate pricing page, and a free trial is offered with terms not stated on the main page. Ryze AI alternatives Birch automates ad management through rules across Meta and Google accounts, and is more rule-driven. Lebesgue provides marketing analytics for ecommerce brands. Segwise focuses on creative analytics for ads.
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What is Moloco? Moloco is an AI-powered advertising platform that automates real-time decisions in digital advertising. It operates two products: Moloco Ads for performance marketers and Moloco Commerce Media for retailers and marketplaces. The company was founded in 2013. Key capabilities of Moloco Moloco Ads: acquire and retain customers across 2.9 million independent apps and connected TVs Outcome optimization: campaigns optimized for ROAS and LTV Moloco Commerce Media: retailers and marketplaces build ad businesses on their own properties CARA architecture: Compound Ad Recommendation Architecture coordinating models, agents and software Global reach: 2 billion+ daily active users in 230 countries and territories Purchase-intent targeting: connects advertisers with shoppers at intent moments How Moloco works Moloco's CARA system coordinates machine learning models, agents and specialized software across ad decisioning, bidding and optimization in real time. Advertisers set outcome goals such as return on ad spend or lifetime value, and the system buys inventory to meet them. Retailers deploy Commerce Media on their own sites and apps to sell ad placements. Who uses Moloco? Customers named by Moloco include Costco, TikTok, Pinterest, Revolut, Electronic Arts, Wayfair, King Digital and Scopely. Mobile app marketers use Ads, and retail and marketplace operators use Commerce Media, which lists 97,000+ advertisers. Moloco pricing Moloco Ads uses performance-based pricing. Moloco Commerce Media uses customized commercial structures negotiated with each retailer. No public price list is published. Moloco alternatives Alternatives include AppLovin and Unity for mobile advertising, Liftoff for app growth, and Criteo or Amazon Ads for retail media.
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What is Adobe GenStudio? Adobe GenStudio for Performance Marketing is a generative AI-first application that helps marketing teams scale content creation, engage customers and measure campaign performance. It is sold as an enterprise product by Adobe. Key capabilities of Adobe GenStudio AI content generation: Copy, images and, as announced, video using fine-tuned models and Firefly Brand checks: AI checks enforce tone of voice and channel requirements Approval workflows: Adobe Workfront review and approvals inside the app Experimentation and insights: Test copy and visuals and review performance Channel activation: Connects to Meta, Google Campaign Manager, Microsoft Advertising, TikTok and Snap Adobe stack integration: Works with Experience Manager Assets, Express and Journey Optimizer How Adobe GenStudio works Marketers set brand guidelines, then generate copy and imagery for ad and email variants using AI models, including Adobe Firefly. Generated content is checked against the brand rules and routed for approval in Workfront before publishing to channels, and performance insights feed back into new variants. Who uses Adobe GenStudio? GenStudio is built for enterprise marketing and creative operations teams running high volumes of channel-specific content, especially those already using Adobe Experience Cloud tools. Adobe GenStudio pricing Adobe does not publish standard prices for GenStudio for Performance Marketing; pricing depends on enterprise needs, usage and licensing. Per third-party listings, a base license includes up to 10 Power Users, 20 Collaborator Users, 5 brands, 2 TB storage, 60,000 generative actions per year and 25 million rows of insights data. Adobe GenStudio alternatives Alternatives include Vidmob and CreativeX, which analyze creative performance and brand compliance, Amperity for customer data, and Dynamic Yield for personalization. GenStudio focuses on generating and approving on-brand content.
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What is Mutinex? Mutinex is an agentic Commercial Mix Modeling platform that helps marketing leaders measure, predict and act on revenue decisions without the cost and delay of traditional marketing mix modeling. Its products are DataOS, GrowthOS and MAITE. Key capabilities of Mutinex DataOS: connects and structures disparate data sources for marketing analysis GrowthOS: granular insights for marketing decisions GrowthOS On-Demand: production-ready models in under 24 hours MAITE: AI consultant giving instant analysis and recommendations Contribution measurement: see what marketing drives Budget optimization: defend and reallocate spend How Mutinex works DataOS ingests marketing and commercial data, GrowthOS builds production-grade models, and MAITE answers questions and recommends actions. The vendor says this removes the need for consultants or data engineering teams. Who uses Mutinex? Marketing and finance leaders. Mutinex serves 100+ global brands managing $13B+ in commercial decisions, including Samsung, Hershey's, Optus, Asahi Beverages, Domino's and One NZ. Mutinex pricing Mutinex does not show prices on its homepage. Mutinex alternatives Lifesight also offers marketing measurement, CreativeX and Vidmob analyze creative performance, and Albert AI and AdCreative.ai automate campaigns and ads. Mutinex centers on mix modeling.
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What is CreativeX? CreativeX positions itself as the independent creative observability platform that links creative decisions to the media and results that follow. It scores creative against the standards you choose, such as brand rules and platform best practices, and connects creative data to media performance. Its vendor introduces a metric called Observable Media Spend to show how much spend is tied to measurable creative execution. Key capabilities of CreativeX Creative scoring: scores creative against chosen brand and platform standards. Creative Data Graph: links creative, media and outcomes. Creative Mix: shows which creative mix drives results. Insights and analytics: connects creative and media to outcomes. Agents: puts creative insights to work, per the vendor. Campaign lifecycle tools: content production, media activation and analytics. How CreativeX works CreativeX connects to ad platforms and digital asset management systems and ingests creative assets. It scores each asset against your standards and links the creative attributes to campaign results, so teams can see which elements correlate with performance. APIs bring the creative data into a customer's own stack. Solutions are organized by industry and by role, including analytics, creative directors and content operations. Who uses CreativeX? It is built for global brands and agencies that produce high volumes of creative across markets and want consistent quality and evidence about what works. The vendor shares customer results for brands such as Nestle, Mars and Heineken, which are its own claims. CreativeX pricing CreativeX does not publish pricing. The site offers Try CreativeX, request a demo and talk to our team options, so plans are quoted to each customer. CreativeX alternatives Vidmob also analyzes creative performance for advertisers and adds creative production services, so it is the closest overlap. Dynamic Yield personalizes and tests website and app experiences, rather than scoring ad creative against brand standards. Persado generates and optimizes marketing language using AI, so it focuses on message wording instead of creative quality governance.
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What is Crayon Data? Crayon Data is a Singapore-based provider of AI-led revenue acceleration for enterprises, with a presence in India and the UAE. Its platform maya.ai analyzes consumer behavior and transactions to power personalized recommendations. Key capabilities of Crayon Data Data as a Service: One of four maya.ai service layers Recommendation as a Service: Personalized product and content recommendations Customer Experience as a Service: Delivers recommendations across digital channels Marketplace as a Service: Supports marketplace and rewards offers Transaction analysis: Uses behavior, preferences and transaction history How Crayon Data works maya.ai ingests customer behavior and transaction data, generates recommendations, and delivers them through digital channels. Its four services (Data, Recommendation, Customer Experience and Marketplace) can run separately or together. Who uses Crayon Data? Banks, fintechs and travel businesses. Third-party sources report 53M+ customers onboarded, an $80B portfolio managed and 3B+ transactions processed. Crayon Data pricing Crayon Data does not publish pricing. Engagements are enterprise quotes. Crayon Data alternatives Alternatives include Persado for AI marketing language, Movable Ink for personalized content, and Albert AI for autonomous marketing.
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What is GoDaddy Airo? GoDaddy Airo is GoDaddy's AI assistant for small businesses that generates a website, logo, social content, email and other launch assets from a business idea. It is included with any new GoDaddy domain purchase, and the domain itself is paid. Key capabilities of GoDaddy Airo AI website builder: Multi-page sites with generated structure, copy and imagery Logo creation: Generate a logo from the business idea Social posts: Create social content for the brand Email marketing: Generate email campaigns AI SEO tools: Tools to improve search visibility Online stores and booking: Ecommerce setup and appointment scheduling sites How GoDaddy Airo works You describe your business and Airo produces a brand kit, a website with copy and images, and marketing content you can edit before publishing. Usage is metered in AI credits on the AI Builder plans. Who uses GoDaddy Airo? Airo is aimed at new small business owners and solo entrepreneurs who want a domain, site and marketing assets without hiring a designer. GoDaddy Airo pricing Airo comes with a new GoDaddy domain purchase. Third-party reviews report website plans at Basic $9.99, Premium $14.99 and Commerce $20.99 per month on annual billing, and AI Builder plans from a free tier with 50 credits up to Ultimate at $99.99 per month. GoDaddy Airo alternatives Alternatives include Braze Sage AI and Dynamic Yield for marketing personalization, and Amperity for customer data. For site building, Airo competes with other AI site builders.
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What is Tofu? Tofu is a campaign automation platform for go-to-market teams. Its headline is to automate always-on campaigns inside your existing GTM stack. The site lists use cases including outbound, lead nurture, event follow-up, sales acceleration, re-engagement and expansion. Key capabilities of Tofu Outbound campaigns: Automated campaigns to target accounts. Lead nurture: Ongoing nurture content for leads. Event follow-up: Follow-up campaigns after events. Sales acceleration: Campaigns that support open deals. Re-engagement: Campaigns to revive stalled accounts. Expansion: Campaigns for existing customer growth. How Tofu works Tofu connects to your CRM and marketing automation tools, identifies the accounts and contacts for a campaign, and generates and sends personalized content as part of an always-on program. Activity flows back to the connected systems. Who uses Tofu? Marketing and sales teams at B2B companies use Tofu. Customer logos on the site include Fastly, RingCentral, Wunderkind, Armis, Atlan and Kiddom. The site shows an AICPA SOC badge. Tofu pricing Tofu does not list prices on its main page. It offers a demo request, so pricing is quote-based. Tofu alternatives Writesonic is an AI writing tool for marketing content and SEO, and is not a campaign orchestration platform. Mutiny personalizes website experiences for B2B visitors. Persado generates and optimizes marketing language using its own language models.
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What is Copy.ai? Copy.ai describes itself as an AI-native go-to-market (GTM) platform that brings sales, marketing and operations onto one system instead of many separate tools. It started as an AI copywriting product and now centers on workflows that codify GTM processes, with agents, a data layer and brand controls around them. Key capabilities of Copy.ai Workflows: codified GTM processes that connect teams and systems. Agents: automation for targeted tasks, with guardrails. Tables: a queryable data foundation that pulls in multiple sources. Infobase: a central repository of company information used for content generation. Brand Voice: defines brand personality so outputs stay consistent. Chat: a prompt interface for one-off tasks. How Copy.ai works Teams load company knowledge into Infobase, define a brand voice and build workflows from actions, such as research an account, enrich a CRM record or draft outreach. Tables pull data from several sources so workflows can act on it, and agents run specific tasks inside guardrails. The platform is model-agnostic and lists OpenAI, Anthropic, Gemini and Perplexity as supported models. Who uses Copy.ai? The vendor targets GTM teams in sales, marketing and operations, with use cases such as a prospecting cockpit, inbound lead processing, deal coaching and forecasting, account-based marketing, content creation, translation and CRM enrichment. It is most useful to teams with defined processes they want to automate at scale. Copy.ai pricing The overview page does not list plan prices and links to a separate pricing page. A try-for-free option appears in some navigation. The vendor lists SOC 2, GDPR and SSO for security, and claims 2,000+ integrations. Copy.ai alternatives Vidmob focuses on creative performance analytics and ad creative, so it analyzes what works rather than automating GTM workflows. Dynamic Yield is a personalization and experimentation platform for websites and apps, a different job from GTM workflow automation. Amperity is a customer data platform that unifies customer records, which sits underneath rather than alongside content and outreach workflows.
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What is Vendelux? Vendelux is an AI-native event marketing platform that helps B2B teams plan in-person events, book meetings before them and track the pipeline that follows. It searches a database of 250,000+ B2B events. Key capabilities of Vendelux Campaigns: pre-books meetings with high-value prospects using attendee data and human-led outreach. Event Discovery: finds events where your target accounts will be. List Builder: dynamic lists of prospects, customers, open deals and competitors by role and title. CRM integration: tracks event attendance, pushes outreach lists to sales and measures attribution. Lead Scanner: a free badge-scanning app with no per-scan fees. How Vendelux works You search for events your target accounts will attend, build a list of the people to meet, and Vendelux runs outreach to book meetings before the event. Attendance and outcomes sync to your CRM for attribution. Who uses Vendelux? Marketing ops and RevOps, demand gen, CMOs, sales leaders, and event and field marketers. Event organizers can also use it to find sponsors that match their audience. Vendelux pricing Vendelux does not list paid plan prices on its main page. It offers a free trial, demo requests and a pricing page. The Lead Scanner is free with unlimited badge scans. Vendelux alternatives Mutinex measures marketing performance and budget allocation across channels, while Vendelux is built around in-person events. Amperity is a customer data platform. Vidmob analyzes creative performance. None of them plans and books event meetings.
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Marketing AI applies machine learning and generative models across the marketing stack, content, campaigns, personalization, ads, and analytics, to work faster and target smarter. This guide explains what marketing AI is, how it works, what matters, and how to choose a platform.
Marketing AI applies machine learning and generative models across the marketing stack, content, campaigns, personalization, ads, and analytics, to work faster and target smarter. This guide explains what marketing AI is, how it works, what matters, and how to choose a platform.
Marketing AI is a broad category of tools that use AI to plan, create, optimize, and measure marketing. It spans generative content, audience segmentation and personalization, predictive analytics, ad optimization, and AI assistants embedded in marketing platforms.
Tech stacks
See where marketing ai fits in a complete stack, with the other software, AI agents and services each business needs.
Rather than a single product, it's a capability layer: some tools are standalone (AI ad optimizers, personalization engines), while others are AI features inside CRMs, CDPs, email, and marketing-automation platforms.
The category is shifting from point AI features toward agentic marketing, systems that can plan campaigns, generate assets, target audiences, and optimize spend with human oversight. Buyers weigh measurable lift, data quality, privacy, and integration with their existing stack.
Marketing AI ingests customer and campaign data, then applies models to segment audiences, predict behavior (churn, conversion, lifetime value), generate creative, and optimize targeting and spend, surfacing recommendations or acting automatically within set rules.
Platforms combine data integration (CRM, CDP, web, ad platforms), predictive and generative models, and activation across channels (email, ads, web, social), plus analytics that attribute results.
Marketers connect data sources, define goals and guardrails, review AI recommendations or let the system optimize automatically, and measure lift against controls to refine over time.
AI identifies high-value segments and lookalikes and predicts who is most likely to convert or churn.
Tailor content, offers, and timing to individuals across email, web, and ads to lift engagement and conversion.
Produce on-brand copy, images, and ad variants quickly for testing and personalization at scale.
Forecast conversion, lifetime value, and churn to focus spend and effort where it pays off.
Automatically test and allocate budget and creative to the best-performing combinations.
Measure what drives results across channels so teams invest in what works.
Smarter targeting and optimization focus spend on the audiences and creative that convert.
Deliver relevant experiences to many segments and individuals without manual effort.
Generative creation and automated optimization compress campaign cycles.
Predictive insight and attribution show where to invest for the most impact.
Automating routine creation and optimization lets teams focus on strategy and brand.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Generative marketing tools | Content, creative, and ad variants | Any | Fast, scalable creation | Needs brand control and review |
| Personalization & CDP AI | 1:1 experiences across channels | Mid-market to enterprise | Lifts engagement and conversion | Data quality and integration heavy |
| Predictive & analytics AI | Churn, LTV, conversion forecasting | SMB to enterprise | Focuses spend and effort | Requires clean historical data |
| Ad & campaign optimizers | Automated bidding and creative testing | Any | Improves ROAS hands-off | Less transparent black-box logic |
Technology: Technology marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Healthcare: Healthcare marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Financial Services: Financial Services marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Retail & E-commerce: Retail & E-commerce marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Education: Education marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Professional Services: Professional Services marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Manufacturing: Manufacturing marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Media: Media marketing teams use AI to segment and personalize at scale, generate on-brand creative, predict conversion and churn, and optimize campaigns and ad spend, while protecting customer data and privacy.
Look for evidence of real improvement (against controls) on the metric you care about, not just feature lists.
Confirm it connects to your CRM, CDP, ad platforms, and channels and works with your data quality.
Verify consent handling, data governance, and compliance (GDPR/CCPA), essential for customer data.
For automated optimization, check how much control and visibility you retain over decisions and spend.
For generative tools, confirm brand-voice controls and review workflows.
Understand pricing and model expected ROI against your channel mix and volume.
Marketing AI is consolidating into agentic systems that plan, create, target, and optimize campaigns with human oversight.
Privacy-first AI and first-party data strategies are becoming central as third-party signals fade.
Real-time personalization is extending across every channel and touchpoint.
Buyers should prioritize measurable lift, strong data integration and privacy, brand and decision control, and transparent governance.
Marketing AI is the application of machine learning and generative models across marketing, segmentation and personalization, content and creative generation, predictive analytics, ad and campaign optimization, and AI assistants inside marketing platforms. It's a capability layer that helps teams work faster, target smarter, and measure impact, available both as standalone tools and as features within CRMs, CDPs, and automation platforms.
By targeting the audiences most likely to convert, personalizing experiences, generating and testing creative quickly, and automatically optimizing spend toward what works, AI focuses effort where it pays off. Realized ROI depends on your data quality, channel mix, and disciplined measurement against control groups, insist on evidence of incremental lift, not just activity.
It shifts the work rather than replacing it. AI automates routine creation, targeting, and optimization, while marketers focus on strategy, brand, creativity, and judgment. The strongest results come from marketers directing AI and reviewing its output rather than handing over control entirely.
It can be, but you're responsible for compliance. Choose tools with strong consent management, data governance, and GDPR/CCPA support, and favor first-party data strategies. Confirm how customer data is used and whether it trains shared models before adopting, since marketing AI handles sensitive personal data.
Predictive and personalization features generally need sufficient, clean historical and customer data to work well, while generative content tools need much less. Assess your data readiness, quality, volume, and integration, because poor data limits results regardless of the model.
Marketing automation executes predefined rules and workflows (send this email when X happens). Marketing AI adds intelligence on top, predicting behavior, personalizing dynamically, generating creative, and optimizing decisions, and increasingly acts more autonomously. Many platforms now combine both.
Pricing varies widely: per-seat, usage-based (credits, contacts, or spend managed), or as add-ons within larger platforms. Map the specific capabilities you need to your volume and channel mix, and model expected ROI to compare true cost.
Prioritize evidence of measurable lift, integration with your CRM/CDP/ad stack and data quality, privacy and compliance, control and transparency over automated decisions, brand safety for generative output, and pricing tied to ROI. Pilot with clear success metrics and a control group before scaling.