Best Marketing Agencies for Consumer AI Apps in 2026

Getting someone to try an AI product and giving them a reason to keep paying are different challenges. RevenueCat’s subscription-app research reported 41% higher first-year revenue per payer for AI apps, alongside 30% higher churn than non-AI apps. For companies choosing a marketing partner, those findings highlight the importance of measuring whether acquired users become paying customers and continue finding value in the product.

For consumer AI companies, a marketing partner needs to understand who finds the product useful, how to demonstrate that value, and which acquisition efforts bring in valuable customers. An agency-of-record engagement should connect those decisions across audience strategy, creative, influencers, media, and measurement.

This guide compares seven marketing agencies for consumer AI apps: New Engen, DEPT, PMG, WITHIN, Power Digital, Wpromote, and Tinuiti.

What is a marketing agency for consumer AI apps?

A marketing agency for consumer AI apps helps companies communicate their product’s value, reach relevant audiences, and acquire customers. Its responsibilities can include audience research, positioning, creative strategy, product demonstrations, influencer partnerships, media buying, and performance measurement.

The category includes browser-based products and mobile apps, from creative tools and productivity assistants to products supporting learning or everyday tasks. The marketing strategy should reflect how people discover the product, experience its usefulness, and decide whether to pay.

In an agency-of-record relationship, the agency takes responsibility for coordinating the agreed marketing scope. Product development, onboarding, lifecycle communications, and analytics implementation may remain with the client or other partners. Those responsibilities should be explicit.

How is a consumer AI marketing agency different from an app user acquisition agency?

An app user acquisition agency typically helps attract users through channels such as paid social, search, and app advertising. Its work may include creative testing, campaign optimization, attribution, and measurement of post-install behavior.

A broader consumer AI agency engagement can also address positioning, audience strategy, creator partnerships, browser-based acquisition, brand development, and cross-channel investment planning. Many app acquisition agencies offer overlapping services, so evaluate the proposed scope rather than relying on the agency’s category label.

The distinction matters when a company’s challenge extends beyond acquiring more users. A product may need clearer demonstrations, a better understanding of its potential audiences, or coordination between creative production and media investment.

Consumer AI marketing also differs from AI development services. Building an AI product and marketing it require different capabilities. An agency’s use of AI in its own workflows does not, by itself, establish experience marketing consumer AI products.

The state of consumer AI app marketing in 2026

Consumer AI companies are competing for a place among tools people already use. Menlo Ventures’ research with Morning Consult found that 96% of U.S. AI users had used a general-purpose assistant. Users averaged three general-purpose assistants, up from 2.2 in 2025. Specialized products therefore enter a market where consumers already have several options for completing a task.

That range of alternatives raises the bar for differentiation. A specialized app needs a compelling advantage for a particular task, whether that means producing usable work faster, offering greater creative control, or simplifying a recurring activity. The value can also differ within the same product: a professional preparing client deliverables and a hobbyist exploring visual ideas may have different reasons to try it and keep paying.

For marketers, this makes the specific use case central to the growth challenge. Generating interest in an impressive AI capability is only the beginning. Turning that interest into demand requires helping people understand where the product fits into their lives and why it deserves a place alongside the tools they already use.

What to look for in a marketing agency for consumer AI apps

1. Consumer research and positioning for your AI product

A consumer AI marketing agency should identify who is most likely to use your product, which tasks they need help completing, and why they would choose it over alternatives. That research should inform product positioning, campaign messaging, and audience priorities.

For an AI image generator, professional designers might prioritize editing control and consistent outputs, while small-business owners might prioritize creating usable marketing assets quickly. The agency should explain how those differences change its recommendations.

Ask the agency: Which audiences and use cases would you prioritize, and how would you communicate our product’s advantage to each?

2. Creative production and influencer marketing that demonstrate product value

Look for an agency that can produce product walkthroughs, screen recordings, creator demonstrations, and paid social ads showing how your AI app solves a specific problem. The content should accurately represent the steps, effort, and results a user can expect.

Influencer marketing for AI apps also requires a clear creator-selection strategy. Evaluate the creator’s experience with the relevant task, their ability to explain the product, and the audience they reach. A designer demonstrating an editing workflow serves a different purpose from a lifestyle creator introducing an everyday use case.

The production plan should distinguish new concepts from variations and final exports, with each test addressing a defined question.

Ask the agency: Which creators, demonstrations, and advertising concepts would you test first, and what would each test help us learn?

3. Paid media strategy across search, social, and video

A paid media agency for consumer AI apps should explain how its channel recommendations support customer acquisition. Paid search can reach people researching a solution, while social and video campaigns can introduce the product through relevant demonstrations. Channel selection should reflect audience behavior, budget, and conversion data.

Ask how the agency separates branded search from non-brand search and evaluates prospecting alongside retargeting. Those distinctions help explain whether campaigns are capturing branded searches, re-engaging previous visitors, or reaching prospecting audiences. Customer data and incrementality testing can provide additional evidence about new-customer acquisition and incremental impact.

Ask the agency: How would you allocate our initial media budget, separate existing demand from new-customer acquisition, and decide which channels deserve more investment?

4. Marketing measurement tied to activation, paid conversion, and customer value

An AI app marketing agency should define success beyond downloads or account registrations. Depending on the product, meaningful outcomes might include completing a first useful task, converting from a free trial to a paid subscription, renewing, or meeting a customer acquisition cost target.

The measurement plan should connect campaign reporting with product and revenue data where available. Confirm how the agency evaluates customer acquisition cost, lifetime value, retention, and payback, accounting for agency, production, and product-delivery costs where relevant. Attribution, incrementality testing, and marketing mix modeling should have defined roles based on the decisions and data available.

Ask the agency: How will you determine which campaigns acquire activated users and paying customers at a sustainable cost?

5. Agency-of-record leadership across creative, media, and measurement

A consumer AI agency of record should provide a coordinated marketing plan with named owners for strategy, creative production, influencer partnerships, media buying, and measurement. The proposal should identify who sets priorities, approves budget recommendations, and turns campaign findings into the next round of work.

It should also define what your internal team owns, including product changes, onboarding, tracking implementation, and approvals. Look for a working process that connects those responsibilities through shared briefs, reporting, and regular decisions.

Ask the agency: Who will lead our account, what will each team own, and how will performance findings change our creative and media plan?

The 7 best marketing agencies for consumer AI apps in 2026

1. New Engen

Website: newengen.com

Best for: Growing and established consumer AI companies seeking one strategic partner to connect audience understanding, creative production, influencer and creator content, paid media, and measurement.

New Engen is a creative-led digital marketing agency that connects audience strategy, creative production, influencer marketing, paid media, and measurement. Audience research informs what gets produced and where it runs. Campaign results then guide the next creative brief, test, and budget decision. New Engen calls this approach its Creative-Led Growth System.

That expectation also surfaces in New Engen’s conversations with prospective clients. One consumer brand sought a partner that would recommend priorities and explain the reasoning behind them, rather than simply execute assigned campaigns.

For consumer AI companies, that work starts with understanding where acquisition is coming from and which audiences the product could reach next. In one audit of a consumer AI creative tool, New Engen found branded searches appearing in campaigns intended to capture non-brand demand. That made it harder to evaluate acquisition beyond people already searching for the product by name. Our recommendations paired clearer separation of brand and non-brand search with audience and creative strategies built around additional use cases.

The proposed strategy distinguished professional creators seeking usable output quickly, hobbyists exploring visual ideas, and professionals evaluating time and cost savings. For professional creators, we recommended testing speed against creative control through screen recordings and before-and-after demonstrations. For hobbyists, the framework paired community-oriented messaging with examples showing multiple variations from one prompt. Each proposed test connected a specific audience motivation with a message, format, and signup objective.

New Engen’s production capabilities support that range of creative approaches. Its in-house studio, Donut Studios, works alongside its broader creator capabilities to develop content for paid activation. For an AI app, the mix can include product walkthroughs, practitioner explanations, screen recordings, and creator demonstrations. Production planning should account for both distinct concepts that explore new reasons to use the product and iterations that refine a promising approach.

New Engen’s influencer strategy considers who can credibly explain the product to its intended users. For consumer AI apps, that can mean practitioners demonstrating a professional workflow, educators teaching a technique, or creators showing an everyday application. Relevant experience, audience fit, and the ability to demonstrate the product accurately should guide selection. Briefs can then address the effort involved, control over the output, and how the tool fits into an existing routine.

UGC production and creator whitelisting extend those demonstrations into paid advertising. Influencer partnerships can introduce the product to an established community, while UGC supplies content for brand channels and paid campaigns. Testing can help determine which combinations of message, demonstration, and creator voice deserve further investment, with findings informing subsequent briefs and partnership decisions.

Media planning connects that content with potential customers at different stages of consideration. New Engen manages paid search, paid social, video, audio, and other channels, with audience research informing where to begin. For the consumer AI creative tool, our recommendations prioritized short-form video across Meta and YouTube as the next expansion beyond search, with additional channels sequenced for testing. Channel selection reflected audience media habits, creative requirements, and measurement readiness.

New Engen uses campaign reporting to guide bid, budget, and creative adjustments; incrementality testing to evaluate whether marketing generates additional business; and marketing mix modeling to inform broader channel allocation. LIFT brings together creative, media, and business performance insights to support those decisions. For consumer AI companies, the measurement plan should also incorporate available activation, subscription, and customer-value data to evaluate what happens after signup.

Key capabilities:

• Consumer research and positioning around AI product use cases

• Creative strategy, product walkthroughs, and demonstration videos

• Influencer partnerships based on relevant expertise and audience fit

• UGC production, creator whitelisting, and paid amplification

• Paid search, paid social, and video campaigns for customer acquisition

• Creative testing across audience motivations, messages, and formats

• Marketing measurement aligned with activation and paid-customer acquisition

• Incrementality testing, marketing mix modeling, and LIFT-supported insights

Relevant work:

These examples demonstrate New Engen’s creative, media, and measurement capabilities across other consumer categories.

• MeUndies: New Engen developed fresh ad formats, messaging angles, and visual concepts, iterated through Meta testing, and launched additional channels. The February program included 700 video and static assets, with 40% year-over-year new-customer growth and a 16% increase in ROAS.

• Cotopaxi: New Engen used marketing mix modeling to identify potential overinvestment in branded search, then conducted geo-based incrementality testing to evaluate reallocating spend toward Meta and Performance Max. The strategy delivered a 20%+ improvement in marketing efficiency ratio and a 25% reduction in ROAS over-attribution.

Considerations:

New Engen is a strong fit for consumer AI companies seeking one agency partner to lead creative, media, and measurement around customer acquisition and growth. The engagement should establish how the agency will work with internal product, lifecycle, and engineering teams, including ownership of onboarding improvements, tracking, and customer data.

2. DEPT

Website: dept.global

Best for: Companies evaluating marketing support alongside digital experience and technology work.

DEPT combines marketing and technology services. Its public work includes creative campaigns for consumer applications such as Facebook and Instagram, offering relevant app communication experience alongside its broader capabilities.

Key capabilities:

• Creative and brand communications

• Media and marketing services

• Digital customer experiences

• Technology and engineering

Considerations:

Confirm which marketing, experience, and technology responsibilities are included in the engagement. Ask for examples matching the product’s acquisition model and the proposed team’s role.

3. PMG

Website: pmg.com

Best for: Companies evaluating media planning and activation supported by a shared data platform.

PMG’s capabilities connect media, creative, audience intelligence, measurement, and planning. Its proprietary operating system, Alli, supports those functions. The agency also lists creator strategy, amplification, creative production, and structured experimentation within its offering.

Key capabilities:

• Media planning and activation

• Audience and market intelligence

• Creative production and creator amplification

• Measurement and experimentation

• Alli-supported data and workflows

Considerations:

Ask which data connections, production resources, and recurring services are included. Confirm how the account team would use product and customer information to inform campaign decisions.

4. WITHIN

Website: within.co

Best for: Companies evaluating a brand-plus-performance agency model.

WITHIN describes its methodology as Performance Branding, aligning marketing objectives across media and creative. Its paid and owned media services include audience research, channel audits, media execution, email and SMS, incrementality testing, and MMM.

Key capabilities:

• Media and creative strategy

• Audience and persona research

• Paid and owned media

• Lifecycle channels

• Incrementality testing and MMM

Considerations:

Confirm how the proposed team would connect web or mobile acquisition with post-signup customer value. Ask which creative and measurement responsibilities sit within the core engagement.

5. Power Digital

Website: powerdigitalmarketing.com

Best for: Companies evaluating acquisition alongside lifecycle marketing and conversion services.

Power Digital offers paid media, influencer marketing, email and SMS, content, and conversion rate optimization. Its data intelligence services include measurement, incrementality, MMM, and data infrastructure, with nova supporting its broader consulting approach.

Key capabilities:

• Paid search and paid social

• Influencer and content marketing

• Email and SMS

• Conversion rate optimization

• Measurement and data intelligence

Considerations:

Confirm which lifecycle channels, conversion surfaces, and technical integrations are relevant to the product. Establish how the agency will coordinate with product and engineering teams.

6. Wpromote

Website: wpromote.com

Best for: Companies evaluating media planning alongside creative and analytics.

Wpromote offers services across media, creative, strategy, and data. Its media scope includes search, social, programmatic, CTV, affiliate, and influencer marketing.

Key capabilities:

• Cross-channel media planning

• Creative and strategy

• Influencer and affiliate activation

• Measurement and analytics

• Polaris IQ-supported insights

Considerations:

Ask how the measurement plan would connect campaign performance with activated or paying users. Confirm the production scope and how findings will influence subsequent creative work.

7. Tinuiti

Website: tinuiti.com

Best for: Companies evaluating cross-channel media and marketing measurement.

Tinuiti offers media services alongside creative, influencer, conversion optimization, and email and SMS capabilities. Its Bliss Point offering connects audience, creative, media, and measurement.

Key capabilities:

• Search, social, video, and streaming media

• Creative and influencer services

• Conversion optimization

• Email and SMS

• Bliss Point-supported measurement

Considerations:

Request examples relevant to the product’s business model and acquisition journey. Confirm the division of responsibilities across campaign execution, creative production, and measurement.

Frequently Asked Questions

Q1: What are the best marketing agencies for consumer AI apps?

Agencies to consider include New Engen, DEPT, PMG, WITHIN, Power Digital, Wpromote, and Tinuiti. New Engen is our best overall recommendation for consumer AI companies seeking one partner across audience strategy, creative production, influencer marketing, paid media, and measurement. Evaluate each agency’s relevant experience, proposed team, and responsibility for turning campaign findings into growth decisions.

Q2: What services should a marketing agency for consumer AI apps provide?

A consumer AI marketing agency should provide audience research, product positioning, creative strategy, product demonstrations, media planning, campaign management, and measurement. Influencer partnerships, UGC production, and creator whitelisting can support product education and paid acquisition. The scope should explain how those services connect with the company’s product, onboarding, and lifecycle teams.

Q3: How is marketing a browser-based AI product different from mobile app marketing?

Browser-based AI products and mobile apps can have different discovery channels, signup processes, payment systems, and tracking requirements. Mobile app marketing may involve app-store conversion and install attribution, while browser-based acquisition may lead directly to a website signup or subscription. Both require measurement beyond the initial conversion to understand product activation and customer value.

Q4: How should consumer AI companies use influencer marketing?

Consumer AI companies should select influencers based on relevant expertise, audience fit, and their ability to demonstrate the product accurately. A professional explaining how an AI tool fits into a workflow serves a different purpose from a creator introducing an everyday use case. Campaign briefs should specify the task, product benefit, demonstration, and intended outcome.

Q5: How should consumer AI companies measure customer acquisition?

Consumer AI companies should evaluate acquisition using metrics that connect marketing costs with meaningful product use and revenue. Depending on the business model, those metrics can include cost per activated user, trial-to-paid conversion, paid-customer acquisition cost, retention, lifetime value, and payback period. Campaign reporting should be assessed alongside available product and subscription data.

Q6: Can a marketing agency improve AI app activation and subscription retention?

A marketing agency can support activation and retention by attracting relevant users, setting accurate expectations, and improving product education. It may also support onboarding or lifecycle campaigns when those services are included in the engagement. Product usefulness, reliability, pricing, and the user experience remain important responsibilities for the company’s internal teams.

Q7: What should an agency of record deliver in the first 90 days?

A consumer AI agency of record should establish audience priorities, review existing campaigns and measurement, launch initial creative and media tests, and recommend what to change next. The plan should name owners, milestones, and the evidence needed for investment decisions. Timing will depend on tracking readiness, approval processes, production requirements, and conversion volume.

Want to connect creative, media, and measurement around your consumer AI product’s next stage of growth? Get in touch with New Engen.