Development and growth, engineered as one system

Application forms are managed in the dashboard and served per city. A Manchester campaign gets a Manchester funnel, national campaigns get a generic one, all without touching code.

Applications open in modals right where the visitor already is. No page reloads, no lost context, and a funnel that keeps momentum from first click to submitted form. Every step is measured, so drop off has a number, not a vibe.

Scroll depth, video engagement, app downloads and form steps fire to GA4, Meta, Fathom and TikTok in a single call, automatically enriched with UTM parameters.

Store links route each visitor to the right app on the right platform, and every download click is attributed back to the campaign that earned it.

Multi step forms with required fields, conditional visibility and automatic rejection rules, so unqualified applicants get a kind answer instantly instead of clogging the pipeline.

Forms are generic or bound to a city. Campaign traffic lands on the funnel that matches its targeting, which keeps both conversion rates and attribution clean.

Every submission captures its UTM parameters and platform click ids, so conversions attribute back to the exact ad, not just the channel.

A form with real applicants locks against edits; duplicating creates the next version. Historical data stays trustworthy by construction.

Submissions from every form and every city land in a single pipeline, with duplicate detection and spam filtering built in so reviewers only see real candidates.

Applicants move through configurable stages and buckets, so it is always clear who is new, in review, accepted or rejected, and who owns the next step.

Interview scheduling and outcomes live next to the application itself, not in a separate calendar tool nobody checks.

Historical imports and bulk operations handle the busy weeks, with import logs keeping every change accountable.

Confirmations, responses and rejection emails are managed in settings with placeholders and test sends. Marketing changes copy without a deploy.

Every applicant receives a considered, well designed answer, even when it is a no. Respectful at scale, and good for the employer brand.

Text messages cover the moments where email is too slow, with the same safety rails as everything else.

Recipient lists arrive as CSV imports and campaigns go out immediately or at a scheduled moment. Everything queued is visible before it happens, per recipient.

Templates are designed in Mailchimp and loaded straight into the dashboard, brand design and merge variables included. Marketing keeps the tools they already know.

Big sends are cut into packages sized for what Mandrill digests best, with per batch retries and recovery for stuck campaigns, so a ten thousand recipient send is boringly reliable.

Before a single email leaves, every CSV column is checked against the template's variables. A template expecting a first name with a CSV that has none simply cannot be sent.

Test mode, scheduling holds and a development safety net make wrong sends structurally hard, and a single hold switch pauses ALL scheduled sending instantly when something needs a second look.

After the send: who received it, who opened it, what bounced or failed and why, per recipient. Problems surface on the home screen, not in a support ticket.

Campaign performance from Meta, Google and TikTok is pulled in daily and stored in one consistent schema, with sync health monitored so nobody makes decisions on silently outdated numbers.

No blended averages: spend, applications and cost per applicant, broken down per platform, per campaign and per creative, sitting right next to the operations data they feed.

Ad variants and audiences are tested against actual submitted applications, not clicks. The dashboard shows which variant wins and by how much, so the next budget decision is already made.

Meta, Google and TikTok report in one schema and one currency of truth, so you can see which platform delivers applicants cheapest this month and shift spend without a debate.

New campaigns are created through a wizard that enforces naming and UTM conventions from day one. No more mystery traffic.

Every website event and form submission carries its UTM context automatically, across web, modals and app store redirects.

Applications are attributable back to platform and campaign, connecting ad spend to the applicants it actually produced.

Two living audiences per platform, all applicants and accepted applicants, rebuilt from the live pipeline on every sync. No exports, no spreadsheets, no manual uploads.

Emails and phone numbers are SHA256 hashed before upload and raw data never leaves the dashboard. Each platform syncs independently and every run is logged on the Audiences page.

Warm applicants become retargeting pools and accepted applicants become the seed for lookalike and similar audiences, so Meta, Google and TikTok find more of the people who actually get hired.

Offline or online makes no difference: posters, newspaper ads, flyers with QR codes, partner websites, newsletters and paid social all get their own tracked link, minted with a naming convention the wizard enforces.

Because every channel reports in the same currency, submissions and cost per hire, a poster at a bus stop competes directly with a TikTok campaign. Efficiency and effectiveness are compared side by side, not argued about.

Application forms, generic campaigns and website modals all report into the same UTM ledger: views, starts, submissions and hires, attributed automatically the moment a tagged link is clicked.

Clicks per impression, submissions per click, accepted per submission, cost per result: everything is normalised per impression, click and pound before anything is compared.

A clear winner is only called at 95% or higher probability, shown as a sentence anyone can read, with every rate carrying its own margin of error.

Thin data is displayed but never judged, and when a test is too close to call the lab says roughly how many more clicks would settle it.

The next 30 days are simulated from the campaign's own recent days, weekday patterns included. Best and worst case are the 10th and 90th percentile: reality lands between them about 8 times out of 10.

Staff set a target and an optional deadline on any form. The dashboard shows progress, days to target at the current pace, and a plain on track or behind pace verdict.

What would the remaining hires cost through ads at recent cost per accepted? What daily budget does the deadline require? Answered with best and worst case, not a single fragile number.

Public apply pages and modal funnels are served by the dashboard itself, with honeypots, geo checks, duplicate detection and double submit protection built in.

The website pulls its active modals and promotions from the dashboard: which campaign, which pages, how often per visitor, including WhatsApp share flows.

Every application fires server side events to Meta's Conversions API and GA4, with click ids attached for match quality, so ad platforms optimise on real outcomes.

Insight syncs, imports and campaign sends run as background jobs with retries, failure tracking and alerting.

If one data source breaks, its section politely reports it while the rest of the platform keeps working. Operations never lose access to their tools.

Message logs, import logs and page level analytics keep every action traceable. When something looks odd, the answer is in the data, not in guesswork.

Templates, buckets and stages, cities and locations, monthly budgets, sync toggles and safety switches: all editable in the admin area, each with sensible guardrails so a typo cannot take anything down.

Every user gets exactly the sections they need, as view or manage access, with two factor authentication on top and logs that keep every action accountable.

The dashboard measures itself: which sections staff actually use, which features get ignored, where time is spent. What gets built next is decided on evidence of what is genuinely useful, not on assumptions.