Hamla: An AI Marketing Team for Multichanne

What Hamla does
Hamla is an AI-assisted marketing platform for businesses that want campaign planning and execution in the tools they already use. Its central workflow is straightforward: describe a goal in ordinary language, review the campaign Hamla drafts, then approve it for delivery and measurement.

The product is aimed particularly at stores and service businesses using platforms such as Salla, Zid, Shopify, WhatsApp, Instagram, Meta Ads, Google Ads, Google Forms, Calendly, Snapchat, and TikTok. Hamla also lists custom API and webhooks support. The practical appeal is that a business can connect existing customer, order, and product data instead of adopting a separate marketing stack from scratch.

The company says more than 250 businesses currently use Hamla. That is a first-party company claim, so it is best treated as reported adoption rather than an independently verified market measure.

A goal-first campaign workflow
The interface is organized around outcomes rather than individual channels. A store owner might ask Hamla to recover abandoned carts, plan a seasonal launch, win back inactive customers, or request reviews after delivery. Hamla then uses connected store and customer information to propose campaign copy, channel choices, timing, and related campaign settings.

Every message is described as editable before sending. This approval step matters for businesses that need to preserve a particular brand voice, check promotions, or review compliance-sensitive wording. After approval, Hamla says it can run and measure the campaign and stop it when a customer converts.

The product presents this as one customer journey across email, WhatsApp, SMS, popups, push notifications, and social messaging. That approach can be useful when a campaign needs coordinated follow-up, such as an abandoned-cart sequence that begins with email and uses another permitted channel later. It also creates a higher review burden: businesses should verify consent, audience eligibility, message frequency, and channel-specific rules before approving automation.

Where it may fit best
Hamla appears most relevant to small and growing ecommerce teams that have customer data but limited marketing capacity. A store owner could connect a commerce platform, describe a revenue or retention goal, inspect the proposed messages, and schedule a campaign without separately designing each sequence in several tools.

The listed examples cover common lifecycle workflows: cart recovery, welcome campaigns, product back-in-stock messages, win-back outreach, order updates, seasonal launches, and on-site exit-intent popups. These are familiar use cases with measurable events, which makes them sensible starting points for evaluating whether an AI marketing system is producing useful results.

Businesses operating in Arabic may also find the product positioning relevant. Hamla states that Arabic is a first-class language in its workflow and that users can express goals in any language. The supplied material does not provide independent testing of language quality, so teams should review Arabic copy carefully before sending it to customers.

Plans and operating limits
Hamla offers a free plan with no stated time limit, no credit card requirement, and up to 250 contacts, 500 emails per month, 1,000 AI credits per month, one active campaign, and email, push, and on-site capabilities.

The Starter plan is listed at $20 per month when billed yearly and includes up to 2,500 contacts, 15,000 emails per month, 5,000 AI credits per month, 15 campaigns per month, 10 active popups, and two team members. Growth is listed at $63 per month billed yearly, with up to 15,000 contacts, 75,000 emails per month, 15,000 AI credits per month, unlimited campaigns, advanced targeting and AI segments, and priority support. Business is listed at $191 per month billed yearly, with up to 100,000 contacts, 200,000 emails per month, 40,000 AI credits per month, custom email domains, white labeling, and unlimited team members.

The pricing page says annual billing saves 20%, prices exclude VAT, and extra AI credits are available. Enterprise plans use custom volumes, integrations, account support, and an SLA. These limits make the free plan useful for initial testing, while contact and email volume will be the main upgrade considerations for larger lists.

Privacy and governance considerations
Hamla\'s privacy policy says it processes customer contact data as a processor on the customer\'s instructions. The business using Hamla remains responsible for obtaining recipient consent and complying with applicable privacy laws. The policy also says Hamla does not sell personal data or use customer data to train its own AI models without explicit consent.

The policy identifies third-party infrastructure, messaging, payment, monitoring, and AI providers, including Amazon Web Services, Vercel, Neon, Resend, Twilio, Meta\'s WhatsApp Business API, Polar, Anthropic, OpenAI, and Google. AI assistant messages are transmitted to AI providers to generate responses, and conversation logs are stored in the user\'s account unless deleted.

For WhatsApp, the policy says Meta bills message costs directly to the connected WhatsApp Business Account. It also describes token revocation and connection deletion when the integration is disconnected. Businesses in Europe and other regulated markets should still review the available Data Processing Addendum, international-transfer arrangements, consent records, retention settings, and each channel\'s marketing requirements before deployment.

Bottom line
Hamla\'s strongest proposition is operational simplicity for businesses that want campaigns drafted from business goals and coordinated across existing channels. Its approval-based workflow gives owners a chance to inspect AI-generated content before delivery, while the plan structure provides a low-cost route for testing.

The main evaluation question is not whether Hamla can generate plausible copy. It is whether its recommendations, segmentation, timing, and conversion controls produce better outcomes than the team\'s current process without increasing compliance or customer-fatigue risk. Start with a narrow, measurable workflow such as abandoned-cart recovery, inspect every message and audience rule, and compare conversion and complaint metrics before expanding automation.