Proxima AI vs Levity AI: Which Builds High-Intent Audiences for Agencies 2026

Proxima AI is the stronger choice for building high-intent audiences — it uses a Commerce Graph of 80M+ real shopper profiles to target paid social campaigns on Meta and TikTok. Levity AI serves a fundamentally different purpose: no-code workflow automation focused on email processing and document classification, primarily for logistics operations. If your agency manages paid social for ecommerce clients, Proxima addresses audience targeting directly. If you need to automate internal operations like email triage or document sorting, Levity handles that. These tools do not compete for the same budget or the same workflow stage. Proxima AI starts at $1,000/month. Levity AI starts free (Business at $299/month).

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Important context: Proxima predicts who is likely to convert. Levity automates operational workflows after leads already exist. These are fundamentally different tools solving different problems.

Proxima AI at $1,000/month only makes financial sense when managing $30,000+ in combined monthly client ad spend. Below that threshold, the per-client cost allocation undermines ROI.
— ConsultStack, May 2026

What Does Proxima AI Actually Do?

Proxima AI builds custom audiences for Meta and TikTok ad campaigns using a proprietary Commerce Graph built from shopper and ecommerce transaction data, according to Proxima's product materials. It replaces manual audience building and lookalike guessing with data-backed targeting segments.

Audience prediction improves efficiency—it does not create demand. If your offer isn’t converting with manual targeting, predictive tools won’t fix it.

Where these tools sit in your stack: Traffic → audience targeting (Proxima) → lead capture → CRM → nurture → operational automation (Levity). Most agencies need the middle of this chain working before either tool adds value.

A Commerce Graph is a structured dataset that maps real purchase behavior — what people actually buy, how often, and at what price points — across millions of ecommerce transactions, then uses that data to predict which shoppers are most likely to convert for a specific brand or product category.

The core value proposition is straightforward: instead of relying on Meta's increasingly broad interest-based targeting or uploading your own customer lists for lookalikes, Proxima provides pre-built audience segments based on actual purchase signals. For agencies running paid social for DTC and ecommerce brands, this means campaigns can launch with audiences that already have demonstrated buying intent in the relevant product category.

Proxima integrates directly with Meta Ads Manager and TikTok Ads. The setup process involves connecting your client's ad account, selecting relevant audience segments from the Commerce Graph, and deploying them as custom audiences within the ad platform. Agencies may begin seeing initial performance data after campaigns have run long enough to generate meaningful spend of campaign deployment.

Pricing starts at $1,000/month on the Starter plan. A Pro tier is available at custom pricing for larger accounts. Proxima also offers a performance-based model at 10% of media spend, which can work well for agencies managing significant ad budgets where the tool's audience quality justifies the cost as a percentage of total spend.

If you manage paid social for three or more ecommerce clients spending at least $10,000/month each on Meta, the $1,000/month Starter plan can pay for itself quickly through improved ROAS. Below that threshold, the cost-per-client math gets harder to justify.

What Does Levity AI Actually Do?

Levity AI provides no-code AI workflow automation for text, image, and document classification tasks. Levity says its platform has processed high volumes of email and document workflows and has pivoted significantly toward logistics operations, where its classification capabilities handle shipping notifications, order confirmations, and document routing without manual intervention.

No-code AI workflow automation is the practice of building AI-powered classification and routing rules through a visual interface — uploading example data, training a model on labeled categories, and deploying it to process new inputs automatically — without writing code or managing infrastructure.

Levity works by training custom classification models on your specific data. You upload examples of emails, documents, or images, label them into categories, and Levity builds a model that can classify new inputs automatically. The trained model then connects to your existing tools — Gmail, Outlook, Shopify, Zendesk — and processes incoming data based on the rules you define.

The logistics pivot is notable. While Levity started as a general-purpose no-code AI platform, its strongest traction has been with companies processing high volumes of shipping-related emails, customs documents, and order management workflows. For agencies with logistics clients, this specialization is an advantage. For agencies outside logistics, the use cases narrow considerably.

Pricing is accessible: a free tier handles up to 50 emails per month, the Business plan runs $299/month with higher volume limits and priority support, and Enterprise plans start at $1,500+/month for custom model training and dedicated infrastructure.

Are These Tools Actually Competitors?

No. Proxima AI and Levity AI solve different problems at different stages of the agency workflow. Proxima operates on the revenue side — improving paid social targeting to lower client acquisition costs. Levity operates on the operations side — automating repetitive classification tasks to reduce manual processing time.

The comparison exists because both tools use AI and both serve business users, but the overlap ends there. An agency could reasonably use both: Proxima to improve campaign performance for ecommerce clients, and Levity to automate the internal email triage and document processing that comes with managing multiple client accounts.

Where each tool contributes to an agency stack:

• Proxima AI — Revenue side. Better ad targeting leads to lower cost-per-acquisition for clients. Directly impacts campaign ROAS metrics that agencies report to clients. The value is measurable in ad performance dashboards.
• Levity AI — Operations side. Automates email triage, document classification, and support ticket routing. The value is measured in hours saved per week on manual processing tasks. Does not directly impact client-facing metrics.

Most B2B consulting agencies evaluating these tools are solving one of two problems: either their paid social campaigns need better audience targeting (Proxima), or their internal operations have scaling bottlenecks from manual processing (Levity). Very few agencies have both problems simultaneously at a scale that justifies adding either tool.

What Does Each Tool Cost?

Proxima AI starts at $1,000/month with a Starter plan and also offers a 10% of media spend model. Levity AI starts free for low-volume use, with a Business tier at $299/month and Enterprise at $1,500+/month.

The pricing gap reflects the different value propositions. Proxima's $1,000/month minimum reflects its position as a revenue-generation tool — it should produce measurable ROAS improvement that exceeds its cost. Levity's lower entry point reflects its role as an operational efficiency tool where ROI is measured in time savings rather than direct revenue impact.

For a 3-person agency managing five ecommerce clients: Proxima at $1,000/month adds roughly $200 per client per month to your tool costs. If it improves campaign ROAS enough to offset the $1,000/month subscription, that cost is typically recovered within the first billing cycle. Levity at $299/month for Business makes sense only if you are processing enough volume that manual handling costs more than $299 in team time per month.

When to Skip These

Most small consulting teams do not need predictive audience tooling until paid acquisition spend exceeds $10,000/month. And most agencies under 10 people don't need Levity's workflow automation until email volume exceeds what manual processing can handle.

Which Should Your Agency Add First?

If you manage paid social campaigns for ecommerce clients and spend at least $30,000/month combined on Meta or TikTok ads, add Proxima first. If you process hundreds of emails or documents daily and need to automate classification workflows, add Levity first. Most B2B consulting agencies will not need either — these are niche tools for specific operational pain points.

The decision framework is conditional:

• Add Proxima AI first if your agency runs paid social for DTC or ecommerce brands, your clients spend $10,000+/month on Meta ads, and your current audience targeting relies on platform defaults or basic lookalikes. The $1,000/month investment pays for itself through improved campaign metrics.
• Add Levity AI first if your team spends 5+ hours per week manually triaging client emails, sorting documents, or routing support tickets. The $299/month Business plan replaces that manual work with automated classification.
• Skip both if your agency focuses on strategy consulting, SEO, or content marketing without a significant paid social or operational automation component. Neither tool addresses those workflows.

I would not recommend adding both tools simultaneously. Pick the one that addresses your most expensive bottleneck — either poor ad targeting eating client budgets (Proxima) or manual processing eating team hours (Levity) — and validate it over 60-90 days before evaluating the second.

Where Does Each Tool Break?

Proxima AI struggles with non-ecommerce verticals and smaller ad budgets. Levity AI requires quality training data and produces probabilistic outputs that need monitoring, especially during the initial deployment period.

Proxima AI limitations:

• The $1,000/month minimum is steep for agencies with small-brand clients or limited ad budgets. If a client spends $3,000/month on Meta ads, Proxima's cost represents a third of the total media budget — difficult to justify.
• Best results are concentrated on Meta. TikTok integration is available but the Commerce Graph data is thinner for TikTok-native audiences. Agencies heavily invested in TikTok-first strategies may see less consistent improvement.
• Requires ecommerce transaction data to function. B2B brands, SaaS companies, and service businesses cannot use the Commerce Graph effectively because the underlying data is consumer purchase behavior.

Levity AI limitations:

• Classification accuracy depends entirely on the quality of your training data. If you upload 50 poorly labeled examples, the model will perform poorly. Budget 2-3 weeks for initial model training and validation before relying on automated outputs.
• Outputs are probabilistic, not deterministic. A classification model may show high confidence while still misclassifying some edge cases, so low-confidence items should route to human review that an email belongs to category A — which means roughly 1 in 12 items gets misclassified. For high-stakes workflows, you need a human review step for low-confidence classifications.
• The logistics pivot has narrowed Levity's general-purpose appeal. If your use case is not email processing, document classification, or logistics-adjacent workflows, the platform may feel underdeveloped compared to broader automation tools like Zapier or Make.com.

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Frequently Asked Questions

Q: Can Proxima AI target audiences outside of ecommerce?
A: Not effectively. Proxima's Commerce Graph is built on ecommerce transaction data from 80M+ shopper profiles. B2B, SaaS, and service-based businesses lack the consumer purchase signals that the Commerce Graph relies on. For non-ecommerce paid social targeting, platform-native tools or third-party data providers like LiveRamp are better options.

Q: Does Levity AI replace Zapier or Make.com for workflow automation?
A: No. Levity handles AI classification (sorting emails, categorizing documents) but does not replace general-purpose automation platforms. Most agencies would use Levity alongside Zapier or Make.com — Levity classifies the input, then Zapier routes it to the correct destination based on the classification result.

Q: Is $1,000/month for Proxima AI worth it for a small agency?
A: Only if you manage paid social for ecommerce clients with combined monthly ad spend of at least $30,000. Below that threshold, the per-client cost allocation makes it difficult to demonstrate ROI. The 10% of media spend model can reduce risk for agencies managing larger budgets.

Q: How long does it take to train a Levity AI classification model?
A: Initial model training takes 2-3 weeks including data labeling, model training, and validation testing. You need a minimum of 50-100 labeled examples per category for reasonable accuracy. Production-ready accuracy typically requires 200+ examples per category and 1-2 rounds of model refinement based on misclassification patterns.

Proxima AI starts at $1,000/month and Levity AI Business costs $299/month, so the right question is not which tool is better, but which problem you are actually trying to solve.
— ConsultStack, May 2026

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Next Step: If Proxima AI fits your paid social workflow, request a demo from Proxima and test against one client account for 30 days before committing to the full Starter plan. If Levity AI fits your operations workflow, start with the free tier to validate classification accuracy on your actual data before upgrading to Business.

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ConsultStack Editorial Team · Verified May 2026 · About · Methodology