Alhena

Alhena's conversation-based pricing (200/mo on Essentials at $199/yr, up to 1,200/mo on Scale at $999/yr) lets agencies attach a recurring retainer that scales with client growth. By reselling the AI Support Concierge and Shopping Assistant as modular retainers, agencies can increase LTV without adding headcount, since the platform auto-resolves up to 80% of inquiries.

Alhena's pricing is conversation-based, with tiers from 25 conversations per month on Free to 1,200 on Scale at $999 per year. For agencies, this creates a direct link between client usage and cost. The Conversation Margin Model frames deployment around predicting and capping conversation volume per client. For example, a DTC brand on Shopify might need 200 conversations monthly, fitting the Essentials plan at $199 per year. An agency can bundle this into a $3,500 setup fee plus a monthly retainer that covers the subscription and a margin. The key is to audit historical support tickets and chat logs to estimate volume, then choose a tier with headroom. If a client exceeds the limit, the agency either upgrades the plan or adjusts the retainer. This model prevents margin erosion from unexpected overages and aligns pricing with value delivered. Agencies should also consider that Alhena's AI Support Concierge auto-resolves up to 80% of inquiries, which can reduce volume over time, so retainer reviews should include conversation trend analysis.

E-Commerce Tools often promise distinct value but increasingly overlap in features like cart recovery, recommendations, and live chat. Agencies that stack multiple platforms without auditing for redundancy risk bloating client tech stacks, raising integration costs, and eroding margins. The framework 'Stack Bloat Margin Erosion' urges agencies to map each tool's unique contribution against the client's actual conversion and retention goals, then consolidate where features overlap. For example, an agency might find that an AI support concierge like Alhena already covers chat and basic recommendations, making a separate live chat tool redundant. By pruning overlapping tools, agencies reduce monthly fees and integration complexity, directly improving the ROI they report to clients. This discipline also mitigates vendor lock-in, as fewer dependencies mean easier switching when better options emerge.

E-commerce tools vary not just in features but in how deeply they integrate with a client's stack and how well their data model matches the client's business. A shallow integration with a mismatched data model forces agencies into custom middleware, eroding margins and delaying time-to-value. Conversely, a tool with native integration and aligned data semantics reduces implementation cost and improves reporting accuracy. For example, an AI shopping assistant like Alhena that auto-resolves 80% of inquiries only delivers if its product data syncs cleanly with the client's catalog. Agencies should evaluate tools on integration depth and data model fit before feature lists, avoiding stack bloat and vendor lock-in.

Adopt Alhena only when the client's projected monthly conversations fit within a specific pricing tier, and bill the retainer accordingly.

Before adding any new e-commerce tool, audit the data flow between existing platforms to identify integration gaps and overlapping features that could bloat the stack and erode margins.

IF your agency serves DTC eCommerce brands on Shopify or WooCommerce and can bundle Alhena's AI Shopping Assistant and Support Concierge into a retainer, THEN buy, because the Essentials tier at $199/yr for 200 conversations/mo gives you a low-cost entry to test client demand. IF your clients need more than 1,200 conversations/mo (Scale tier at $999/yr) or you cannot manage per-client conversation limits, THEN skip, as the pricing model adds billing complexity and may not scale with high-volume support needs.

A structured onboarding sprint to deploy Alhena's AI shopping assistant and support concierge for eCommerce clients, ensuring integration, training, and analytics are set up for measurable ROI.