07432596106

07432596106

PAID SEARCH

PAID SEARCH

Is the fastest and most efficient way to target specific audiences who are searching for your products or services right now, as it allows us to target individuals according to their search query, location, device, demographics and specific interests when they search on Google, Bing or any other search engine.

Keywords, ad groups, campaigns, ads, audiences, extensions (such as sitelinks) and landing pages can all be optimised and customised according to a specific target audience and business objectives.

Over the years I’ve managed millions of pounds in Paid Search budgets for a wide range of brands with six & seven monthly figure budgets.

CASE STUDIES

+4,300% INCREASE IN ENQUIRIES & -96% REDUCTION IN COST PER ENQUIRY (YOY) – LEAD GENERATION

As we can see within the graph, the first couple of weeks saw a slight dip in performance, as our newly deployed scripts started making changes across thousands of keywords. During week 3 we started to see some positive results, with a +120% increase in enquiries YoY, which then grew to +2,650% increase in enquiries and then a whopping 4,300% increase YoY.

+583% INCREASE IN BOOKINGS & -78% DECREASE IN COST PER BOOKING (YOY) – LEAD GENERATION

Within the first 5 months we were able to achieve a +185% increase in bookings with a 69% decrease in cost por booking (vs. the same month during the previous year). And by month 10 we saw a staggering +583% increase in bookings with an overall 78% decrease in cost per booking. Conversions & costs are measured across all managed channels.

+1,329% INCREASE IN NEW CUSTOMER LIFETIME PROFIT (YOY) – RETAIL

This approach allowed us to re-engage with existing cold, warm and hot audiences across channels, significantly increasing repeat order rates via engaging content and ads which enticed the users to return to the website and carry out additional purchases online, resulting in a massive 1,329% increase in profit when comparing the 12 months from June 2019 to the 12 months from June 2018.

10X INCREASE IN ORDERS (YOY) – RETAIL

By applying an integrated approach to our activity, we were eventually able to generate a 10X increase in new customer orders vs. the previous year. The above “New Customer Orders (After) graph represents first orders from new customers + the increase in repeat orders over the following 12 months (lifetime value), meaning that: when we combine the volume of new customers acquired, initial order volume plus the repeat orders they carried out over a 12-month period, this was equal to a 10X increase in orders vs. the same month during the previous year.

+1,596% INCREASE IN SALES ENQUIRIES & -93% REDUCTION IN CPA – LEAD GENERATION

The graphs shown represents sales enquiries 30 days pre & post our new campaign launch. Our campaign was launched on day “30” within the graph, and as we can see this resulted in a huge increase in daily enquiries from there onwards, equal to a +1,596% increase in sales enquiries and a 93% reduction in cost per enquiries when comparing the two 30-day periods.

+545% INCREASE IN NEW & EXISTING CUSTOMER REVENUE (YOY) – ECOMMERCE

This strategy resulted in a +438% increase in revenue during month 1 (comparing YoY figures) and a +545% increase during month 2, with the vast majority of revenue coming from new customers. Existing customer revenue also grew significantly as a result of campaign level segmentation and re-engaging with previously dormant audience groups.

ACQUIRING NEW CUSTOMERS FROM A LOSS OF -13% TO PROFIT OF +11% – ECOMMERCE

This approach allowed us to go from making a net loss of -13% when acquiring a new customer during month 1 (eventually turning into a profit after month 12 and multiple repeat orders), to generating a net profit of 11%, which then increased to 30% within the first 12 months, due to increased repeat orders at decreased costs to the business.

COMBINED 12 MONTH CUSTOMER LIFETIME VALUE (£) ANALYSIS BY INITIAL (SEASONAL) SALE % – RETAIL

What this showed us is that, whilst January Sale customers saw the biggest % increase in profits over the months (growing by +1,107% over the 12 month period), the volume of actual profit £ (money in the bank) was far smaller proportionately when comparing to November (which grew by +72%) and December (growing by +82%) periods, due to the higher margin obtained during these months. This led to the brand being able to make more tactical, data-based decisions when launching sales over the year,

+4,280% INCREASE IN NEW CUSTOMERS YOY – ECOMMERCE

This approach led to us generating a huge 2,590% increase in new customers (defined as a first-time email registration + purchase) during November, with a whopping 4,280% increase during December and 2,860% increase during January (all dates compared to same period of the previous year).

FROM A LOSS-PER-CLICK OF -£0.35 TO A PROFIT-PER-CLICK OF +£0.34 IN 6 MONTHS – ECOMMERCE

This approach resulted in a 4X increase in revenue YoY without an increase in budget (media spend).

+1,376% INCREASE IN NEW CUSTOMERS IN MONTH 1 & +2,702% INCREASE IN MONTH 2 – RETAIL

The results were spectacular, with a 1,376% increase in new customers during month 1 (January), boosted by a strong January Sale offer, which was conveyed across all digital channels in synchronicity, results continued during February where we saw a 2,702% increase in new customers YoY.

+545% INCREASE IN REVENUE SPLIT BY NEW & EXISTING CUSTOMERS – ECOMMERCE

The results saw us achieve a 438% increase in new customers during month 1 alone (vs. the same month from the previous year), which then grew to a whopping 545% increase during month 2.

FROM A LOSS OF -£11 TO A PROFIT OF £29 PER NEW A NEW CUSTOMER VIA PAID SEARCH – ECOMMERCE

This approach resulted in the brand going from generating a loss of -£11.66 per new customer acquired (which eventually grew to a profit of £17.18 due to repeat transactions and lifetime value), to a profit of £29.51 during month 1, eventually growing to a profit of £54.04 over the 12 month period. This also allowed us to increase new customer volumes X5 due to increased investment and return from the channel.

£100,000/MONTH DECREASE IN MEDIA SPEND DUE TO SEO CONVERSION GROWTH – LEAD GENERATION

This allowed us to reduce Paid Search media spend by more than £100,000/month. We also saw a net increase in Search conversions through this channel due to Organic’s lower bounce rates higher conversion rates.

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