Sales on autopilotSales on autopilot

Builds abandoned cart detection, a short recovery email sequence with a pre-filled checkout link, and rules for when to offer an incentive.

Designs, builds or audits an online store checkout: steps, guest purchase, payment experience and error recovery, aimed at fewer abandoned orders.

Implements per-SKU stock tracking with reservations that prevent overselling, low-stock alerts and optional multi-location support.

Adds cards, wallets, buy now pay later and local payment methods for each target market, integrated through a provider so card data never touches your servers.

Designs a store catalog data model: products, variants, options, category tree, filterable attributes and media handling.

Writes conversion-focused product descriptions from specs or a CSV, delivered in the import format your store platform expects.

Sets up shipping zones, rate strategy, carrier integration and tracking notifications so shoppers see costs early and know when orders arrive.

Helps you pick a platform (Shopify, Medusa, WooCommerce or custom) and generates the store foundation: catalog pages, cart and checkout entry point.

Researches one account from public sources and builds its plan: org map, pains, initiatives and entry plays to land or expand.

Turns messy sales call notes into CRM-ready fields, a MEDDIC or BANT table, action items with owners and a drafted follow-up.

Turns project notes and metrics into a problem, solution and results case study, plus a one-page summary and proof points for sales.

Writes multi-touch cold email and LinkedIn sequences personalized from each lead's data, with cadence, exit triggers and subject lines to A/B test.

Produces a cited report from public sources on competitor positioning, pricing, feature comparison and exploitable gaps.

Audits one deal or a whole pipeline from your notes, scoring MEDDIC gaps and flagging stalls, with one de-risking action per gap.

Prepares a five-minute pre-call brief: company research, attendee context, pain hypotheses and the questions that test them.

Drafts a new sales email or a reply to one, matched to deal stage, recipient intent and tone, with two variants to choose from.

Designs follow-up cadences per deal stage with timing, a value-adding message per touch and exit triggers so sequences end.

Builds your ideal customer profile from customers, a product description or a website, with who to exclude and ready-to-run lead search queries.

Sweeps public sources for buying signals on target accounts, such as hiring, funding and leadership changes, and ranks them by strength and recency.

Enriches each row of a lead list with public, verifiable data such as size, industry, tech signals, funding, hiring and news, each with its source.

Finds companies matching your ideal customer through web search, or prioritizes an existing list, scored by fit and buying intent.

Scores and tiers leads or open deals with BANT, MEDDIC or CHAMP from the evidence you provide, with one concrete next action per lead.

Builds a playbook from the objections you actually hear: what each means, the question to ask, the reframe, the proof and the next step.

Designs or stress-tests pricing and packaging: value metric, tiers, anchoring and willingness to pay, ending in a defensible proposal.

Turns discovery notes into a client-ready commercial proposal or SOW with scope, deliverables, timeline, three pricing options and terms.

Turns an RFP or RFI into a response draft with a requirement-by-requirement compliance matrix, answers where your material supports them and a gap list.

Builds a one-page battlecard against a specific competitor: how to win, where you lose, landmine questions and counters to their traps.

Audits a public LinkedIn presence and builds a niche content plan with a 4-week calendar, example posts and a daily engagement routine.

Segments a market or account list into territories and tiers with a coverage plan that balances opportunity per rep.