Sales department tool to fight incoming leads mess. Qualify, prioritise, increase funnel
<aside>
👋 Why doing this?
Companies that combine "Contact Us" and self-service sales models lose significant number of leads in the self-service channel.
Losses must be prevented by proper scoring and prioritisation.
Everyday incoming leads avalanche should be processed properly and not be evaluated/prioritised by a human.
What we do:
- Collect company data such as size, maturity, revenue, industry, and number of app installs.
- Forecast possible revenue streams based on existing data to streamline communication with the most valuable prospects.
- Provide guidance on for sales persons which leads are future whales.
</aside>

Max Sereda, [10 Mar 2024, 19:02:13]:
https://docs.google.com/document/d/1bhHUJ6UYotztmot_vOZ82vQ9-bdwdzqmYlE0jaXFEEo/edit?usp=sharing
https://docs.google.com/spreadsheets/d/1znPGmC1EGb8w0zxAzgft6UvvTExtt8944ByQ75EAfY8/edit?usp=sharing
Step 3
- [ ] onboarding
- [ ] sample checked companies in the table
- [ ] pipedrive / hubspot integration
- [ ] users/registration
- [ ] team users in one account
- [ ] registration confirmation
- [ ] password change/recovery
- [ ] leads
- [ ] batch upload business cards
- [ ] personal data by email (with linkedin) - reversecontact - position/other guys on position
- [ ] tags
- [ ] action - add tags to selected leads
- [ ] HQ by region
- [ ] per-client editable weights/ranges for scoring formula in settings
Step 2
- [x] landing page
- [x] stripe billing
- [x] Basic / Pro plans. Basic - without app installs.
- [x] monthly / yearly
- [x] trial limits
- [ ] new sections
- [x] target lists. choose from analyzed companies - pull similar apps/companies.
- [x] sources by similar apps
- [x] filtrable/searchable by most of columns. Export works on specific leads
- [ ] pipedrive /
hubspot integration
- [ ]
public api
- [x] users/registration
- [ ] team users in one account
- [ ]
non disposable emails protection
- [ ] admin page (only for super users) - list of amahub users, ability to login to user's account
- [ ] leads
- [x] search / filters in columns (remember to local storage)
- [x] tags
- [ ] action - add tags to selected leads
- [x] filtrable, new tags are saved for further use
- [x] columns resize and horizontal scroll
- [x] top countries exploded, readable
- [ ] HQ by region
- [ ] per-client editable weights/ranges for scoring formula in settings
Critical Fixes
- [ ] невозможно загрузить большой файл — будут ошибки из-за рейт лимитера (нужен троттлинг)
- [ ] не работает рега/вход по гуглу
- [ ] торчит русский язык - удалить его вообще, чтобы не вылезал
- [ ] нет ошибки для клиента, когда кредиты кончились. Показать попап со ссылкой на пополнение
Трекинг HR
MVP Scope
Must work, must bring value, must earn fist paying customers
Lead import/storage and scoring functionality (tables)
- [x] leads import/export (plain multiline text and CSV - domain, email)
- [x] leads could be grouped by lead id (even if several linkedin companies are found)
- [x] simple per client scoring model (just a combination of fields, in settings)
Payments
- [ ] stripe integration (the basic one)
- [ ] trial/paid checks functionality (10 lead free)
- [x] hard limits - 100 leads
Lead Scoring based on API’s:
Integration
UX


Registration
Input sample (may be as CSV or plain text input, only domain names) - https://docs.google.com/spreadsheets/d/1dCsZXoI75-dBD17Z_Gv86raKNmn02UgpblctcmhYW5M/edit?usp=sharing
Output sample (must be in UX) - https://docs.google.com/spreadsheets/d/1BpdIJNqx5jy8kV6ar4v2hLjelGOVVsEOxA9CflkG0lg/edit?usp=sharing
User tiers - divided by request limits.
UX prototype - https://brown-kora-86.tiiny.site/

«Сlients insights» — Step 2
Upload any CSV data with a characteristics and specific column that represent client’s value for the company:
- sales/revenue, which are the most direct way to express value
- reputable client
- client from the new industry you are trying to capture
Having this data:
- new leads will be evaluated accordingly to the existing data