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CLIENT CASE · B2B SAAS · 2024

LeytonHow we multiplied Leyton's qualified pipeline by 3.8 in 6 months.

Leyton, the international innovation-funding consultancy, had a saturated B2B funnel: scarce C-level leads, CPL drifting up, long sales cycle. Six months of SEO content + Google Ads + LinkedIn + BANT+ scoring in HubSpot lifted qualified pipeline by 280%.

SCOPEB2B SEO · Google Ads · LinkedIn Ads · HubSpot · 6 months
+280%Qualified B2B leadsvs M-1 baseline
−52%Qualified CPL580 MAD → 280 MAD
×3.5Conversion rateform → SQL
45/monthC-level SQLCFO · finance dir · MD
STACK
  • Google Ads Search
  • Google Performance Max
  • LinkedIn Ads Lead Gen Forms
  • SEO Content · Surfer
  • HubSpot Sales Pro + Marketing
  • BANT+ Scoring
  • GTM Server-Side · Stape
  • Meta CAPI
  • Google Enhanced Conversions
  • LinkedIn Conversions API
  • Clearbit Enrichment
  • Looker Studio
01

The challenge · Leyton before Webotic

Leyton is an international consultancy in innovation funding. Its engagements are long, high-ticket, and aimed at very specific decision-makers: CFOs, finance directors, managing directors, R&D directors. The commercial challenge is not contact volume but precision: an unqualified lead costs more in sales time than the 3,000 to 8,000 MAD of paid acquisition that produced it. When Leyton came to Webotic, its acquisition setup suffered from three structural issues. First, dependence on trade fairs and word of mouth — a slow channel, geographically capped, impossible to scale without hiring. Second, generic Google Ads campaigns piloted on overly broad keywords ("funding consultancy", "innovation grant"), with CPC at 6-9 MAD and a qualification rate under 9%. Third, no scoring: every lead landed in a shared spreadsheet, with no priority, no sector-based routing, no callback SLA. Measured result on the baseline month: 12 qualified C-level leads for 7,200 MAD/month of media spend — a qualified CPL of 580 MAD, well above Webotic's sector median (180-350 MAD on strategy consulting). The average sales cycle ran 6 to 9 months on tax-credit missions, with a 28% no-show rate on first meetings. The opportunity cost — sellable decision-makers never identified, intent signals never captured, no retargeting — was heavier than the media cost itself. The brief: rebuild B2B acquisition end-to-end over six months without diluting the premium brand perception or flooding the sales team with unqualified traffic.

  • 12 qualified C-level leads/month at baseline, qualified CPL 580 MAD.
  • 6-9 month sales cycle on tax-credit work, 28% no-show.
  • No scoring · no sector routing · no callback SLA.
02

The approach · chosen architecture

The structuring decision was to refuse the "more Google Ads budget" reflex and attack the problem through qualification. The atelier laid down a four-layer non-substitutable architecture, with server-side HubSpot instrumentation from week 1. Layer 1, SEO content on high-intent tax-credit and innovation-funding queries. Semantic audit on 142 keywords, evaluation-intent vs information-intent mapping, rewrite of 18 existing articles and publication of 24 new pillar pages ("R&D tax credit Morocco 2024", "innovation tax credit eligibility", "innovation funding for CFOs"). Goal: capture the half of decision-makers who Google before contacting a consultancy. Layer 2, hyper-segmented Google Ads Search. Splits by function (CFO, finance director, MD, R&D director), by sector (industry, pharma, tech, services), by company size. Performance Max on the free-audit offer, Search on competitive brand queries. Layer 3, LinkedIn Ads by seniority. The channel that justifies its higher CPL: targeting by function + hierarchy + company size + sector. Native LinkedIn Lead Gen Forms to cut friction. Layer 4, HubSpot Sales Pro + Marketing with automated BANT+ scoring. Every lead gets a score out of 100 within minutes of submission, crossing declarative data, digital behavior and firmographic enrichment via Clearbit. Thresholds: > 70 = SQL routed in 5 minutes to the sector rep; 40-70 = MQL into a 4-6 week nurture; < 40 = cold remarketing. What we rejected: chasing generic leads to inflate volume, low-quality guest posts, aggressive LinkedIn automations that would have burned the brand, and a custom CRM — HubSpot was already chosen internally and well populated by the sales team.

  • Refused the "more budget" reflex: full funnel redesign, not extension.
  • SEO content + Google Ads + LinkedIn + HubSpot — four layers, distinct roles.
  • BANT+ scoring in the CRM from day 5 — not month 3.
03

Execution · day 0 to day 180

Month 1, foundations. Tracking setup: GTM Server-Side on Stape, Meta CAPI, Google Enhanced Conversions, LinkedIn Conversions API, deduplication via a unique event_id on every form submission. HubSpot properties migration: 47 custom fields audited, 14 removed, 8 new ones added (BANT+ score, firmographic score, consolidated UTM source, normalized acquisition channel). BANT+ scoring build: 40 declarative points (company size, planned budget, horizon, problem), 30 behavioral points (pages visited, email opens, video plays), 30 firmographic points (Clearbit enrichment). Month 2, SEO + Search launch. Publication of the 24 pillar pages on tax credit and innovation funding, 18 articles rewritten with E-E-A-T optimization (in-house expert citations, hard numbers, author byline). Google Ads launched on 6 ad groups segmented by function × sector, budget 18,000 MAD/month. Month 3, LinkedIn ramp. Launch of 4 Lead Gen Forms campaigns on LinkedIn targeting CFO/finance director by company size (SME 50-250 employees, mid-market 250-1000, large enterprise 1000+), native creatives with client testimonials and recovered tax-credit figures. LinkedIn budget 22,000 MAD/month. Month 4, optimization and retargeting. Activation of Meta retargeting on SEO visitors and LinkedIn engagers synced via Matched Audiences then Customer Match — the lever that tipped qualified cost. Weekly creative iteration on the top-performing ads. Month 5, ABM tier 1. Identification of 38 strategic accounts (Moroccan industrial groups + European subsidiaries), activation of outbound LinkedIn Sales Navigator + email sequences + Meta retargeting on the named list. Month 6, stabilization and capitalization. Closed attribution loop HubSpot ↔ Google Ads ↔ Meta ↔ LinkedIn, weekly Looker Studio dashboard delivered to leadership, sales team training on SLA cadence (callback < 5 minutes on hot SQLs, < 24 hours on standard SQLs).

  • M1: server-side tracking + BANT+ scoring + HubSpot audit.
  • M2-M3: SEO + Google Search + LinkedIn.
  • M4: Meta retargeting on SEO visitors and LinkedIn engagers.
  • M5: ABM tier 1 on 38 strategic accounts.
  • M6: end-to-end attribution and Looker dashboard.
04

Results · numbers measured over 6 months

At month 6, the numbers read inside HubSpot (not on a sales slide): 45 qualified C-level leads generated in the reference month, against 12 at baseline — that is +280% in qualified pipeline. Qualified CPL dropped from 580 MAD to 280 MAD (−52%), powered by three measurable levers: (1) upstream SEO qualification, which brings already-educated visitors and shortens the path to form, (2) Meta retargeting on LinkedIn engagers, which produces the lowest qualified cost in the setup (135 MAD on average), and (3) BANT+ scoring, which filters out 62% of leads before a sales rep touches them, freeing sales time for the actual SQLs. The form-to-SQL conversion rate moved from 9% to 32% (×3.5), driven by scoring quality and by Clearbit firmographic enrichment that screens out opportunistic submissions upstream. On tracking, Meta match rate climbed from 41% to 79% after the GTM SS + CAPI migration, and Google Ads in Enhanced Conversions gained 22% in reported ROAS. On the sales side, the average sales cycle on tax-credit work shortened from 7.2 months to 4.8 months (−33%), no-show on first meetings dropped from 28% to 9%, and the MQL-to-closed-deal ratio moved from 4% to 11%. The progression was non-linear: months 1 and 2 stayed under baseline (setup and Google learning phase), month 3 grazed media break-even, month 4 set the slope, and months 5-6 stabilized the rhythm. All internal communication ran on qualified cost and weighted pipeline — not on contact volume.

  • Meta match rate: 41% → 79% post-CAPI.
  • Tax-credit sales cycle: 7.2 months → 4.8 months (−33%).
  • No-show on first meeting: 28% → 9%.
  • MQL → closed deal: 4% → 11%.

The SEO + paid combination was a game-changer for our B2B acquisition. Webotic understands the realities of consulting and delivers leads that turn into signed mandates.

Development DirectorLeyton

FREQUENTLY ASKED QUESTIONS

How long before seeing the first ROI on a B2B setup like Leyton's?
Months 1-2 are setup and learning — apparent CPL is misleading because volume is thin. Media break-even arrives around month 3-4 on short-cycle segments, and net ROI across all costs (media + tools + agency) lands between month 5 and month 7 depending on the nature of the engagements. On Leyton, the first signed missions attributable to the setup landed at M+4, and net ROI turned positive at M+6.
What minimum monthly budget for an equivalent setup?
25,000 MAD/month all-in (media + tools + agency) is the operational floor for a C-level B2B setup to hold a predictable rhythm. Below that, the platforms run short on volume to optimize and weekly variance crushes readability. The Leyton account ran around 48,000 MAD/month of media + tools at peak, corresponding to the LinkedIn extension + ABM tier 1 phase.
Have you worked on other consulting firms or professional services?
Yes. Webotic has been managing 11 consulting and professional-services accounts since 2024 (audit, legal, chartered accountancy, strategy consulting). Median qualified CPL on this segment runs 220-340 MAD, average sales cycle 4 to 8 months depending on basket size, and the MQL-to-closed-deal ratio stabilizes between 8% and 13% after 4-5 months of BANT+ scoring calibration.
Why HubSpot and not Pipedrive for Leyton?
HubSpot was already deployed in-house and well populated by the sales team. For a 5- to 20-strong sales team with integrated marketing and multi-touch attribution needs, HubSpot Sales Pro + Marketing Starter remains the reference. Pipedrive would be a better fit for 1 to 5 reps with a simple pipeline. The worst CRM well populated beats the best CRM poorly populated — we did not migrate a working stack for fashion.
Does Meta retargeting actually work for B2B in Morocco?
Yes, and it is the lever that tipped qualified cost on Leyton. Moroccan decision-makers spend 2h15 a day on Facebook and Instagram in a personal capacity. A well-targeted retargeting setup (SEO visitors + LinkedIn engagers synced via Matched Audiences then Customer Match) produced a qualified CPL of 135 MAD on average on the Leyton account — the most profitable channel in the setup, behind organic SEO.
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